SlideShare a Scribd company logo
Marcos Freccia
SQL Server DBA | Zalando SE
Data Platform MVP
@sqlfreccia
freccia@outlook.com
http://marcosfreccia.wordpress.com
Common challenges for BI IT Professionals
Managing data in the cloud Security, privacy and data refresh concerns for moving data
into the cloud
Ease of use and adoption Ease of adoption by business and IT orgs. Time spent on
creating reports and visualizations
Keeping data current Complexity of refreshing data from variety of data sources,
increased demand for real-time data
Integration with existing
environment
Cost and time involved in integration of solution into existing
environment. Extensibility of system
Management of BI systems Time spent on setup and management of BI systems. Ongoing
hardware acquisitions and maintenance to meet SLAs
Variety of data sources Complexity of connecting to on-premise and cloud (SaaS) data
sources
Feature
• Power BI is a cloud-based business analytics
service that enables
• fast and easy access to your data
• a live 360º view of your business
• data discovery and exploration
• insights from any device
• collaboration across your organization
• anyone to visualize and analyze data
Power BI
Experience your data. Any data, any way, anywhere
Key benefits and differentiators of Power BI for IT
Integrated with familiar Microsoft products, utilizes
infrastructure, scale & availability in Azure & O365
Fast deployment with a hybrid solution, ease of
maintenance and 99.9% uptime SLA
Live connection to your data sources,
on-premises and in the cloud
Keep your data secure, use groups to manage
access and sharing
Open APIs for integration and new scenarios, e.g.
real-time insights from devices
Content delivery (dashboards, reports, models) for
ease of consumption across your organizations

Recommended for you

Azure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu Ganta
Azure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu GantaAzure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu Ganta
Azure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu Ganta

Spark is fast becoming a critical part of Customer Solutions on Azure. Databricks on Microsoft Azure provides a first-class experience for building and running Spark applications. The Microsoft Azure CAT team engaged with many early adopter customers helping them build their solutions on Azure Databricks. In this session, we begin by reviewing typical workload patterns, integration with other Azure services like Azure Storage, Azure Data Lake, IoT / Event Hubs, SQL DW, PowerBI etc. Most importantly, we will share real-world tips and learnings that you can take and apply in your Data Engineering / Data Science workloads

apache sparksparkaisummit
Azure Data Lake Intro (SQLBits 2016)
Azure Data Lake Intro (SQLBits 2016)Azure Data Lake Intro (SQLBits 2016)
Azure Data Lake Intro (SQLBits 2016)

Azure Data Lake Intro (SQLBits 2016 ADL/USQL Pre-Conference) Data Lake concept, Azure Data Lake, HDINSIGHT, Azure Data Lake Storage and Analytics

azure data lakeu-sqlbig data
Cortana Analytics Suite
Cortana Analytics SuiteCortana Analytics Suite
Cortana Analytics Suite

Cortana Analytics Suite is a fully managed big data and advanced analytics suite that transforms your data into intelligent action. It is comprised of data storage, information management, machine learning, and business intelligence software in a single convenient monthly subscription. This presentation will cover all the products involved, how they work together, and use cases.

cortana analytics suiteazure ml
Power BI Overview
Data sources Power BI service
SaaS solutions
e.g. Marketo, Salesforce, GitHub,
Google analytics
On-premises data
e.g. Analysis Services
Custom content packs
Corporate data sources or external
data services
Azure services
Azure SQL, Stream Analytics…
Excel files
Workbook data / data models
Power BI Desktop files
Data from files, databases, Azure,
and other sources
Data refresh
Visualizations
Live dashboards
Content packs Sharing & collaborationNatural language query
Reports
Datasets01001
10101
Power BI Overview
Power BI REST APIsPower BI Desktop
Prepare Explore ShareReport
Data sources
SaaS solutions
e.g. Marketo, Salesforce, GitHub,
Google analytics
On-premises data
e.g. Analysis Services
Custom content packs
Corporate data sources or external
data services
Azure services
Azure SQL, Stream Analytics…
Excel files
Workbook data / data models
Power BI Desktop files
Data from files, databases, Azure,
and other sources
Power BI service
Data refresh
Visualizations
Live dashboards
Content packs Sharing & collaborationNatural language query
Reports
Datasets01001
10101
Why Power BI is the right tool for you
https://powerbi.microsoft.com/en-us/power-bi-germany/

Recommended for you

Introducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseIntroducing Azure SQL Data Warehouse
Introducing Azure SQL Data Warehouse

The new Microsoft Azure SQL Data Warehouse (SQL DW) is an elastic data warehouse-as-a-service and is a Massively Parallel Processing (MPP) solution for "big data" with true enterprise class features. The SQL DW service is built for data warehouse workloads from a few hundred gigabytes to petabytes of data with truly unique features like disaggregated compute and storage allowing for customers to be able to utilize the service to match their needs. In this presentation, we take an in-depth look at implementing a SQL DW, elastic scale (grow, shrink, and pause), and hybrid data clouds with Hadoop integration via Polybase allowing for a true SQL experience across structured and unstructured data.

sql dwmppdata warehouse
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...

SQLBits 2020 presentation on how you can build solutions based on the modern data warehouse pattern with Azure Synapse Spark and SQL including demos of Azure Synapse.

azure synapsesqlbits 2020apache spark
Building Modern Data Platform with Microsoft Azure
Building Modern Data Platform with Microsoft AzureBuilding Modern Data Platform with Microsoft Azure
Building Modern Data Platform with Microsoft Azure

This document provides an overview of building a modern cloud analytics solution using Microsoft Azure. It discusses the role of analytics, a history of cloud computing, and a data warehouse modernization project. Key challenges covered include lack of notifications, logging, self-service BI, and integrating streaming data. The document proposes solutions to these challenges using Azure services like Data Factory, Kafka, Databricks, and SQL Data Warehouse. It also discusses alternative implementations using tools like Matillion ETL and Snowflake.

azurecloud analyticsanalytics
Why Power BI is the right tool for you
Marcos Freccia
SQL Server DBA | Zalando SE
Data Platform MVP
@sqlfreccia
freccia@outlook.com
http://marcosfreccia.wordpress.com
Why Power BI is the right tool for you
Why Power BI is the right tool for you

Recommended for you

Tarun poladi resume
Tarun poladi resumeTarun poladi resume
Tarun poladi resume

Tarun Poladi is a data engineer with over 7 years of experience in business intelligence and data engineering. He has extensive experience with Microsoft BI tools like SSIS, SSRS, and Power BI. He is proficient in SQL, Python, and R. Tarun has worked on various cloud platforms including AWS, Azure, and Databricks. His experience includes data modeling, ETL processes, building reports and dashboards, and developing analytics solutions. He holds certifications in Azure Data Engineering and Microsoft BI Reporting.

Azure Data Factory V2; The Data Flows
Azure Data Factory V2; The Data FlowsAzure Data Factory V2; The Data Flows
Azure Data Factory V2; The Data Flows

The document discusses Azure Data Factory V2 data flows. It will provide an introduction to Azure Data Factory, discuss data flows, and have attendees build a simple data flow to demonstrate how they work. The speaker will introduce Azure Data Factory and data flows, explain concepts like pipelines, linked services, and data flows, and guide a hands-on demo where attendees build a data flow to join customer data to postal district data to add matching postal towns.

datascotlandazuredata factory
Microsoft cloud big data strategy
Microsoft cloud big data strategyMicrosoft cloud big data strategy
Microsoft cloud big data strategy

Think of big data as all data, no matter what the volume, velocity, or variety. The simple truth is a traditional on-prem data warehouse will not handle big data. So what is Microsoft’s strategy for building a big data solution? And why is it best to have this solution in the cloud? That is what this presentation will cover. Be prepared to discover all the various Microsoft technologies and products from collecting data, transforming it, storing it, to visualizing it. My goal is to help you not only understand each product but understand how they all fit together, so you can be the hero who builds your companies big data solution.

big datamicrosoft

More Related Content

What's hot

Designing a modern data warehouse in azure
Designing a modern data warehouse in azure   Designing a modern data warehouse in azure
Designing a modern data warehouse in azure
Antonios Chatzipavlis
 
Power BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data SolutionsPower BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data Solutions
James Serra
 
Data Lake Overview
Data Lake OverviewData Lake Overview
Data Lake Overview
James Serra
 
Azure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu Ganta
Azure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu GantaAzure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu Ganta
Azure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu Ganta
Databricks
 
Azure Data Lake Intro (SQLBits 2016)
Azure Data Lake Intro (SQLBits 2016)Azure Data Lake Intro (SQLBits 2016)
Azure Data Lake Intro (SQLBits 2016)
Michael Rys
 
Cortana Analytics Suite
Cortana Analytics SuiteCortana Analytics Suite
Cortana Analytics Suite
James Serra
 
Introducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseIntroducing Azure SQL Data Warehouse
Introducing Azure SQL Data Warehouse
James Serra
 
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...
Michael Rys
 
Building Modern Data Platform with Microsoft Azure
Building Modern Data Platform with Microsoft AzureBuilding Modern Data Platform with Microsoft Azure
Building Modern Data Platform with Microsoft Azure
Dmitry Anoshin
 
Tarun poladi resume
Tarun poladi resumeTarun poladi resume
Tarun poladi resume
Tarun P
 
Azure Data Factory V2; The Data Flows
Azure Data Factory V2; The Data FlowsAzure Data Factory V2; The Data Flows
Azure Data Factory V2; The Data Flows
Thomas Sykes
 
Microsoft cloud big data strategy
Microsoft cloud big data strategyMicrosoft cloud big data strategy
Microsoft cloud big data strategy
James Serra
 
Modern data warehouse
Modern data warehouseModern data warehouse
Modern data warehouse
Rakesh Jayaram
 
Streaming Real-time Data to Azure Data Lake Storage Gen 2
Streaming Real-time Data to Azure Data Lake Storage Gen 2Streaming Real-time Data to Azure Data Lake Storage Gen 2
Streaming Real-time Data to Azure Data Lake Storage Gen 2
Carole Gunst
 
Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)
James Serra
 
Trivadis Azure Data Lake
Trivadis Azure Data LakeTrivadis Azure Data Lake
Trivadis Azure Data Lake
Trivadis
 
Microsoft Azure Databricks
Microsoft Azure DatabricksMicrosoft Azure Databricks
Microsoft Azure Databricks
Sascha Dittmann
 
Einstieg in Machine Learning für Datenbankentwickler
Einstieg in Machine Learning für DatenbankentwicklerEinstieg in Machine Learning für Datenbankentwickler
Einstieg in Machine Learning für Datenbankentwickler
Sascha Dittmann
 
Dipping Your Toes: Azure Data Lake for DBAs
Dipping Your Toes: Azure Data Lake for DBAsDipping Your Toes: Azure Data Lake for DBAs
Dipping Your Toes: Azure Data Lake for DBAs
Bob Pusateri
 
Data warehouse con azure synapse analytics
Data warehouse con azure synapse analyticsData warehouse con azure synapse analytics
Data warehouse con azure synapse analytics
Eduardo Castro
 

What's hot (20)

Designing a modern data warehouse in azure
Designing a modern data warehouse in azure   Designing a modern data warehouse in azure
Designing a modern data warehouse in azure
 
Power BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data SolutionsPower BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data Solutions
 
Data Lake Overview
Data Lake OverviewData Lake Overview
Data Lake Overview
 
Azure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu Ganta
Azure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu GantaAzure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu Ganta
Azure Databricks – Customer Experiences and Lessons Denzil Ribeiro Madhu Ganta
 
Azure Data Lake Intro (SQLBits 2016)
Azure Data Lake Intro (SQLBits 2016)Azure Data Lake Intro (SQLBits 2016)
Azure Data Lake Intro (SQLBits 2016)
 
Cortana Analytics Suite
Cortana Analytics SuiteCortana Analytics Suite
Cortana Analytics Suite
 
Introducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseIntroducing Azure SQL Data Warehouse
Introducing Azure SQL Data Warehouse
 
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...
 
Building Modern Data Platform with Microsoft Azure
Building Modern Data Platform with Microsoft AzureBuilding Modern Data Platform with Microsoft Azure
Building Modern Data Platform with Microsoft Azure
 
Tarun poladi resume
Tarun poladi resumeTarun poladi resume
Tarun poladi resume
 
Azure Data Factory V2; The Data Flows
Azure Data Factory V2; The Data FlowsAzure Data Factory V2; The Data Flows
Azure Data Factory V2; The Data Flows
 
Microsoft cloud big data strategy
Microsoft cloud big data strategyMicrosoft cloud big data strategy
Microsoft cloud big data strategy
 
Modern data warehouse
Modern data warehouseModern data warehouse
Modern data warehouse
 
Streaming Real-time Data to Azure Data Lake Storage Gen 2
Streaming Real-time Data to Azure Data Lake Storage Gen 2Streaming Real-time Data to Azure Data Lake Storage Gen 2
Streaming Real-time Data to Azure Data Lake Storage Gen 2
 
Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)
 
Trivadis Azure Data Lake
Trivadis Azure Data LakeTrivadis Azure Data Lake
Trivadis Azure Data Lake
 
Microsoft Azure Databricks
Microsoft Azure DatabricksMicrosoft Azure Databricks
Microsoft Azure Databricks
 
Einstieg in Machine Learning für Datenbankentwickler
Einstieg in Machine Learning für DatenbankentwicklerEinstieg in Machine Learning für Datenbankentwickler
Einstieg in Machine Learning für Datenbankentwickler
 
Dipping Your Toes: Azure Data Lake for DBAs
Dipping Your Toes: Azure Data Lake for DBAsDipping Your Toes: Azure Data Lake for DBAs
Dipping Your Toes: Azure Data Lake for DBAs
 
Data warehouse con azure synapse analytics
Data warehouse con azure synapse analyticsData warehouse con azure synapse analytics
Data warehouse con azure synapse analytics
 

Similar to Why Power BI is the right tool for you

Conheça o Power BI
Conheça o Power BIConheça o Power BI
Conheça o Power BI
Marcos Freccia
 
Formulating Power BI Enterprise Strategy
Formulating Power BI Enterprise StrategyFormulating Power BI Enterprise Strategy
Formulating Power BI Enterprise Strategy
Teo Lachev
 
powerbioverview-191114161542.pdf
powerbioverview-191114161542.pdfpowerbioverview-191114161542.pdf
powerbioverview-191114161542.pdf
MarkMayle2
 
Power BI Overview
Power BI OverviewPower BI Overview
Power BI Overview
James Serra
 
Sql Server 2012 Datasheet
Sql Server 2012 DatasheetSql Server 2012 Datasheet
Sql Server 2012 Datasheet
MILL5
 
Log analytics OMS - Power BI - Parashar
Log analytics OMS - Power BI - ParasharLog analytics OMS - Power BI - Parashar
Log analytics OMS - Power BI - Parashar
Parashar Shah
 
Opportunity: Data, Analytic & Azure
Opportunity: Data, Analytic & Azure Opportunity: Data, Analytic & Azure
Opportunity: Data, Analytic & Azure
Abhimanyu Singhal
 
Microsoft Power BI Technical Overview
Microsoft Power BI Technical OverviewMicrosoft Power BI Technical Overview
Microsoft Power BI Technical Overview
David J Rosenthal
 
SQL Server 2014 Faster Insights from Any Data
SQL Server 2014 Faster Insights from Any DataSQL Server 2014 Faster Insights from Any Data
SQL Server 2014 Faster Insights from Any Data
Stéphane Fréchette
 
How does Microsoft solve Big Data?
How does Microsoft solve Big Data?How does Microsoft solve Big Data?
How does Microsoft solve Big Data?
James Serra
 
Next Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data WarehouseNext Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data Warehouse
Denodo
 
Cloud Scale Analytics Pitch Deck
Cloud Scale Analytics Pitch DeckCloud Scale Analytics Pitch Deck
Cloud Scale Analytics Pitch Deck
Nicholas Vossburg
 
An initiative to healthcare analytics with office 365 and power bi spsparis2017
An initiative to healthcare analytics with office 365 and power bi spsparis2017An initiative to healthcare analytics with office 365 and power bi spsparis2017
An initiative to healthcare analytics with office 365 and power bi spsparis2017
Thuan Ng
 
SQL Server 2014 Faster Insights from Any Data -Level 300 Presentation from At...
SQL Server 2014 Faster Insights from Any Data -Level 300 Presentation from At...SQL Server 2014 Faster Insights from Any Data -Level 300 Presentation from At...
SQL Server 2014 Faster Insights from Any Data -Level 300 Presentation from At...
David J Rosenthal
 
SPS ABIDJAN 2018 - Flow et PowerApps - Mohamed Amar ATHIE
SPS ABIDJAN 2018 - Flow et PowerApps - Mohamed Amar ATHIESPS ABIDJAN 2018 - Flow et PowerApps - Mohamed Amar ATHIE
SPS ABIDJAN 2018 - Flow et PowerApps - Mohamed Amar ATHIE
aOS Community
 
Azure IoT Suite
Azure IoT Suite Azure IoT Suite
Azure IoT Suite
Samir Arezki ☁
 
SPS Dakar 2018 - Flow et Power Apps - Mohamed Amar Athie
SPS Dakar 2018 - Flow et Power Apps - Mohamed Amar AthieSPS Dakar 2018 - Flow et Power Apps - Mohamed Amar Athie
SPS Dakar 2018 - Flow et Power Apps - Mohamed Amar Athie
aOS Community
 
powerBI_theguy.ppt
powerBI_theguy.pptpowerBI_theguy.ppt
powerBI_theguy.ppt
ssuser65fa31
 
Module_01_formation-PowerBI Desktop.pptx
Module_01_formation-PowerBI Desktop.pptxModule_01_formation-PowerBI Desktop.pptx
Module_01_formation-PowerBI Desktop.pptx
seydi17
 
Best practices to deliver data analytics to the business with power bi
Best practices to deliver data analytics to the business with power biBest practices to deliver data analytics to the business with power bi
Best practices to deliver data analytics to the business with power bi
Satya Shyam K Jayanty
 

Similar to Why Power BI is the right tool for you (20)

Conheça o Power BI
Conheça o Power BIConheça o Power BI
Conheça o Power BI
 
Formulating Power BI Enterprise Strategy
Formulating Power BI Enterprise StrategyFormulating Power BI Enterprise Strategy
Formulating Power BI Enterprise Strategy
 
powerbioverview-191114161542.pdf
powerbioverview-191114161542.pdfpowerbioverview-191114161542.pdf
powerbioverview-191114161542.pdf
 
Power BI Overview
Power BI OverviewPower BI Overview
Power BI Overview
 
Sql Server 2012 Datasheet
Sql Server 2012 DatasheetSql Server 2012 Datasheet
Sql Server 2012 Datasheet
 
Log analytics OMS - Power BI - Parashar
Log analytics OMS - Power BI - ParasharLog analytics OMS - Power BI - Parashar
Log analytics OMS - Power BI - Parashar
 
Opportunity: Data, Analytic & Azure
Opportunity: Data, Analytic & Azure Opportunity: Data, Analytic & Azure
Opportunity: Data, Analytic & Azure
 
Microsoft Power BI Technical Overview
Microsoft Power BI Technical OverviewMicrosoft Power BI Technical Overview
Microsoft Power BI Technical Overview
 
SQL Server 2014 Faster Insights from Any Data
SQL Server 2014 Faster Insights from Any DataSQL Server 2014 Faster Insights from Any Data
SQL Server 2014 Faster Insights from Any Data
 
How does Microsoft solve Big Data?
How does Microsoft solve Big Data?How does Microsoft solve Big Data?
How does Microsoft solve Big Data?
 
Next Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data WarehouseNext Gen Analytics Going Beyond Data Warehouse
Next Gen Analytics Going Beyond Data Warehouse
 
Cloud Scale Analytics Pitch Deck
Cloud Scale Analytics Pitch DeckCloud Scale Analytics Pitch Deck
Cloud Scale Analytics Pitch Deck
 
An initiative to healthcare analytics with office 365 and power bi spsparis2017
An initiative to healthcare analytics with office 365 and power bi spsparis2017An initiative to healthcare analytics with office 365 and power bi spsparis2017
An initiative to healthcare analytics with office 365 and power bi spsparis2017
 
SQL Server 2014 Faster Insights from Any Data -Level 300 Presentation from At...
SQL Server 2014 Faster Insights from Any Data -Level 300 Presentation from At...SQL Server 2014 Faster Insights from Any Data -Level 300 Presentation from At...
SQL Server 2014 Faster Insights from Any Data -Level 300 Presentation from At...
 
SPS ABIDJAN 2018 - Flow et PowerApps - Mohamed Amar ATHIE
SPS ABIDJAN 2018 - Flow et PowerApps - Mohamed Amar ATHIESPS ABIDJAN 2018 - Flow et PowerApps - Mohamed Amar ATHIE
SPS ABIDJAN 2018 - Flow et PowerApps - Mohamed Amar ATHIE
 
Azure IoT Suite
Azure IoT Suite Azure IoT Suite
Azure IoT Suite
 
SPS Dakar 2018 - Flow et Power Apps - Mohamed Amar Athie
SPS Dakar 2018 - Flow et Power Apps - Mohamed Amar AthieSPS Dakar 2018 - Flow et Power Apps - Mohamed Amar Athie
SPS Dakar 2018 - Flow et Power Apps - Mohamed Amar Athie
 
powerBI_theguy.ppt
powerBI_theguy.pptpowerBI_theguy.ppt
powerBI_theguy.ppt
 
Module_01_formation-PowerBI Desktop.pptx
Module_01_formation-PowerBI Desktop.pptxModule_01_formation-PowerBI Desktop.pptx
Module_01_formation-PowerBI Desktop.pptx
 
Best practices to deliver data analytics to the business with power bi
Best practices to deliver data analytics to the business with power biBest practices to deliver data analytics to the business with power bi
Best practices to deliver data analytics to the business with power bi
 

More from Marcos Freccia

Berlin Azure Global Bootcamp 2017 - Azure SQL Database
Berlin Azure Global Bootcamp 2017 - Azure SQL DatabaseBerlin Azure Global Bootcamp 2017 - Azure SQL Database
Berlin Azure Global Bootcamp 2017 - Azure SQL Database
Marcos Freccia
 
Codificando Night Week 2017 - Migrando seu banco de dados para a nuvem
Codificando Night Week 2017 - Migrando seu banco de dados para a nuvemCodificando Night Week 2017 - Migrando seu banco de dados para a nuvem
Codificando Night Week 2017 - Migrando seu banco de dados para a nuvem
Marcos Freccia
 
Novidades do SQL Server 2016
Novidades do SQL Server 2016Novidades do SQL Server 2016
Novidades do SQL Server 2016
Marcos Freccia
 
Construindo o dashboard perfeito com o Power BI
Construindo o dashboard perfeito com o Power BIConstruindo o dashboard perfeito com o Power BI
Construindo o dashboard perfeito com o Power BI
Marcos Freccia
 
Banco de dados na Nuvem? É possível?
Banco de dados na Nuvem? É possível?Banco de dados na Nuvem? É possível?
Banco de dados na Nuvem? É possível?
Marcos Freccia
 
Banco de dados na nuvem e isso é possível
Banco de dados na nuvem e isso é possívelBanco de dados na nuvem e isso é possível
Banco de dados na nuvem e isso é possível
Marcos Freccia
 
Criando um baseline de seu ambiente completo utilizando ssis e ssrs
Criando um baseline de seu ambiente completo utilizando ssis e ssrsCriando um baseline de seu ambiente completo utilizando ssis e ssrs
Criando um baseline de seu ambiente completo utilizando ssis e ssrs
Marcos Freccia
 
Criando um baseline de seu ambiente completo utilizando SSIS e SSRS
Criando um baseline de seu ambiente completo utilizando SSIS e SSRSCriando um baseline de seu ambiente completo utilizando SSIS e SSRS
Criando um baseline de seu ambiente completo utilizando SSIS e SSRS
Marcos Freccia
 
O problema não é no banco de dados
O problema não é no banco de dadosO problema não é no banco de dados
O problema não é no banco de dados
Marcos Freccia
 
Controlando cargas de trabalho com o resource governor no SQL Server 2014
Controlando cargas de trabalho com o resource governor no SQL Server 2014Controlando cargas de trabalho com o resource governor no SQL Server 2014
Controlando cargas de trabalho com o resource governor no SQL Server 2014
Marcos Freccia
 
Criando um baseline de seu ambiente completo utilizando ssis e ssrs
Criando um baseline de seu ambiente completo utilizando ssis e ssrsCriando um baseline de seu ambiente completo utilizando ssis e ssrs
Criando um baseline de seu ambiente completo utilizando ssis e ssrs
Marcos Freccia
 
24HOP - Português - Resource Governor no SQL Server 2014
24HOP - Português - Resource Governor no SQL Server 201424HOP - Português - Resource Governor no SQL Server 2014
24HOP - Português - Resource Governor no SQL Server 2014
Marcos Freccia
 
Resource Governor 101
Resource Governor 101Resource Governor 101
Resource Governor 101
Marcos Freccia
 
Semana Acadêmica FACIN - PUC - POA - 2014
Semana Acadêmica FACIN - PUC - POA - 2014Semana Acadêmica FACIN - PUC - POA - 2014
Semana Acadêmica FACIN - PUC - POA - 2014
Marcos Freccia
 
Introdução a wait types e queues
Introdução a wait types e queuesIntrodução a wait types e queues
Introdução a wait types e queues
Marcos Freccia
 
24 Horas de PASS - File table, full text search e semantic search
24 Horas de PASS - File table, full text search e semantic search24 Horas de PASS - File table, full text search e semantic search
24 Horas de PASS - File table, full text search e semantic search
Marcos Freccia
 
Porque se certificar e mudanças nas provas de SQL Server 2012.
Porque se certificar e mudanças nas provas de SQL Server 2012.Porque se certificar e mudanças nas provas de SQL Server 2012.
Porque se certificar e mudanças nas provas de SQL Server 2012.
Marcos Freccia
 
FileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic SearchFileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic Search
Marcos Freccia
 
FileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic SearchFileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic Search
Marcos Freccia
 
FileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic SearchFileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic Search
Marcos Freccia
 

More from Marcos Freccia (20)

Berlin Azure Global Bootcamp 2017 - Azure SQL Database
Berlin Azure Global Bootcamp 2017 - Azure SQL DatabaseBerlin Azure Global Bootcamp 2017 - Azure SQL Database
Berlin Azure Global Bootcamp 2017 - Azure SQL Database
 
Codificando Night Week 2017 - Migrando seu banco de dados para a nuvem
Codificando Night Week 2017 - Migrando seu banco de dados para a nuvemCodificando Night Week 2017 - Migrando seu banco de dados para a nuvem
Codificando Night Week 2017 - Migrando seu banco de dados para a nuvem
 
Novidades do SQL Server 2016
Novidades do SQL Server 2016Novidades do SQL Server 2016
Novidades do SQL Server 2016
 
Construindo o dashboard perfeito com o Power BI
Construindo o dashboard perfeito com o Power BIConstruindo o dashboard perfeito com o Power BI
Construindo o dashboard perfeito com o Power BI
 
Banco de dados na Nuvem? É possível?
Banco de dados na Nuvem? É possível?Banco de dados na Nuvem? É possível?
Banco de dados na Nuvem? É possível?
 
Banco de dados na nuvem e isso é possível
Banco de dados na nuvem e isso é possívelBanco de dados na nuvem e isso é possível
Banco de dados na nuvem e isso é possível
 
Criando um baseline de seu ambiente completo utilizando ssis e ssrs
Criando um baseline de seu ambiente completo utilizando ssis e ssrsCriando um baseline de seu ambiente completo utilizando ssis e ssrs
Criando um baseline de seu ambiente completo utilizando ssis e ssrs
 
Criando um baseline de seu ambiente completo utilizando SSIS e SSRS
Criando um baseline de seu ambiente completo utilizando SSIS e SSRSCriando um baseline de seu ambiente completo utilizando SSIS e SSRS
Criando um baseline de seu ambiente completo utilizando SSIS e SSRS
 
O problema não é no banco de dados
O problema não é no banco de dadosO problema não é no banco de dados
O problema não é no banco de dados
 
Controlando cargas de trabalho com o resource governor no SQL Server 2014
Controlando cargas de trabalho com o resource governor no SQL Server 2014Controlando cargas de trabalho com o resource governor no SQL Server 2014
Controlando cargas de trabalho com o resource governor no SQL Server 2014
 
Criando um baseline de seu ambiente completo utilizando ssis e ssrs
Criando um baseline de seu ambiente completo utilizando ssis e ssrsCriando um baseline de seu ambiente completo utilizando ssis e ssrs
Criando um baseline de seu ambiente completo utilizando ssis e ssrs
 
24HOP - Português - Resource Governor no SQL Server 2014
24HOP - Português - Resource Governor no SQL Server 201424HOP - Português - Resource Governor no SQL Server 2014
24HOP - Português - Resource Governor no SQL Server 2014
 
Resource Governor 101
Resource Governor 101Resource Governor 101
Resource Governor 101
 
Semana Acadêmica FACIN - PUC - POA - 2014
Semana Acadêmica FACIN - PUC - POA - 2014Semana Acadêmica FACIN - PUC - POA - 2014
Semana Acadêmica FACIN - PUC - POA - 2014
 
Introdução a wait types e queues
Introdução a wait types e queuesIntrodução a wait types e queues
Introdução a wait types e queues
 
24 Horas de PASS - File table, full text search e semantic search
24 Horas de PASS - File table, full text search e semantic search24 Horas de PASS - File table, full text search e semantic search
24 Horas de PASS - File table, full text search e semantic search
 
Porque se certificar e mudanças nas provas de SQL Server 2012.
Porque se certificar e mudanças nas provas de SQL Server 2012.Porque se certificar e mudanças nas provas de SQL Server 2012.
Porque se certificar e mudanças nas provas de SQL Server 2012.
 
FileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic SearchFileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic Search
 
FileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic SearchFileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic Search
 
FileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic SearchFileTable, Full Text Search e Semantic Search
FileTable, Full Text Search e Semantic Search
 

Recently uploaded

論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...
Toru Tamaki
 
Mitigating the Impact of State Management in Cloud Stream Processing Systems
Mitigating the Impact of State Management in Cloud Stream Processing SystemsMitigating the Impact of State Management in Cloud Stream Processing Systems
Mitigating the Impact of State Management in Cloud Stream Processing Systems
ScyllaDB
 
Transcript: Details of description part II: Describing images in practice - T...
Transcript: Details of description part II: Describing images in practice - T...Transcript: Details of description part II: Describing images in practice - T...
Transcript: Details of description part II: Describing images in practice - T...
BookNet Canada
 
Quality Patents: Patents That Stand the Test of Time
Quality Patents: Patents That Stand the Test of TimeQuality Patents: Patents That Stand the Test of Time
Quality Patents: Patents That Stand the Test of Time
Aurora Consulting
 
Advanced Techniques for Cyber Security Analysis and Anomaly Detection
Advanced Techniques for Cyber Security Analysis and Anomaly DetectionAdvanced Techniques for Cyber Security Analysis and Anomaly Detection
Advanced Techniques for Cyber Security Analysis and Anomaly Detection
Bert Blevins
 
Pigging Solutions Sustainability brochure.pdf
Pigging Solutions Sustainability brochure.pdfPigging Solutions Sustainability brochure.pdf
Pigging Solutions Sustainability brochure.pdf
Pigging Solutions
 
Measuring the Impact of Network Latency at Twitter
Measuring the Impact of Network Latency at TwitterMeasuring the Impact of Network Latency at Twitter
Measuring the Impact of Network Latency at Twitter
ScyllaDB
 
20240705 QFM024 Irresponsible AI Reading List June 2024
20240705 QFM024 Irresponsible AI Reading List June 202420240705 QFM024 Irresponsible AI Reading List June 2024
20240705 QFM024 Irresponsible AI Reading List June 2024
Matthew Sinclair
 
UiPath Community Day Kraków: Devs4Devs Conference
UiPath Community Day Kraków: Devs4Devs ConferenceUiPath Community Day Kraków: Devs4Devs Conference
UiPath Community Day Kraków: Devs4Devs Conference
UiPathCommunity
 
The Rise of Supernetwork Data Intensive Computing
The Rise of Supernetwork Data Intensive ComputingThe Rise of Supernetwork Data Intensive Computing
The Rise of Supernetwork Data Intensive Computing
Larry Smarr
 
Best Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdfBest Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdf
Tatiana Al-Chueyr
 
Cookies program to display the information though cookie creation
Cookies program to display the information though cookie creationCookies program to display the information though cookie creation
Cookies program to display the information though cookie creation
shanthidl1
 
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsScaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
Mydbops
 
Details of description part II: Describing images in practice - Tech Forum 2024
Details of description part II: Describing images in practice - Tech Forum 2024Details of description part II: Describing images in practice - Tech Forum 2024
Details of description part II: Describing images in practice - Tech Forum 2024
BookNet Canada
 
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfBT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
Neo4j
 
Recent Advancements in the NIST-JARVIS Infrastructure
Recent Advancements in the NIST-JARVIS InfrastructureRecent Advancements in the NIST-JARVIS Infrastructure
Recent Advancements in the NIST-JARVIS Infrastructure
KAMAL CHOUDHARY
 
Comparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdfComparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdf
Andrey Yasko
 
DealBook of Ukraine: 2024 edition
DealBook of Ukraine: 2024 editionDealBook of Ukraine: 2024 edition
DealBook of Ukraine: 2024 edition
Yevgen Sysoyev
 
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-In
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-In
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-In
TrustArc
 
Implementations of Fused Deposition Modeling in real world
Implementations of Fused Deposition Modeling  in real worldImplementations of Fused Deposition Modeling  in real world
Implementations of Fused Deposition Modeling in real world
Emerging Tech
 

Recently uploaded (20)

論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...
 
Mitigating the Impact of State Management in Cloud Stream Processing Systems
Mitigating the Impact of State Management in Cloud Stream Processing SystemsMitigating the Impact of State Management in Cloud Stream Processing Systems
Mitigating the Impact of State Management in Cloud Stream Processing Systems
 
Transcript: Details of description part II: Describing images in practice - T...
Transcript: Details of description part II: Describing images in practice - T...Transcript: Details of description part II: Describing images in practice - T...
Transcript: Details of description part II: Describing images in practice - T...
 
Quality Patents: Patents That Stand the Test of Time
Quality Patents: Patents That Stand the Test of TimeQuality Patents: Patents That Stand the Test of Time
Quality Patents: Patents That Stand the Test of Time
 
Advanced Techniques for Cyber Security Analysis and Anomaly Detection
Advanced Techniques for Cyber Security Analysis and Anomaly DetectionAdvanced Techniques for Cyber Security Analysis and Anomaly Detection
Advanced Techniques for Cyber Security Analysis and Anomaly Detection
 
Pigging Solutions Sustainability brochure.pdf
Pigging Solutions Sustainability brochure.pdfPigging Solutions Sustainability brochure.pdf
Pigging Solutions Sustainability brochure.pdf
 
Measuring the Impact of Network Latency at Twitter
Measuring the Impact of Network Latency at TwitterMeasuring the Impact of Network Latency at Twitter
Measuring the Impact of Network Latency at Twitter
 
20240705 QFM024 Irresponsible AI Reading List June 2024
20240705 QFM024 Irresponsible AI Reading List June 202420240705 QFM024 Irresponsible AI Reading List June 2024
20240705 QFM024 Irresponsible AI Reading List June 2024
 
UiPath Community Day Kraków: Devs4Devs Conference
UiPath Community Day Kraków: Devs4Devs ConferenceUiPath Community Day Kraków: Devs4Devs Conference
UiPath Community Day Kraków: Devs4Devs Conference
 
The Rise of Supernetwork Data Intensive Computing
The Rise of Supernetwork Data Intensive ComputingThe Rise of Supernetwork Data Intensive Computing
The Rise of Supernetwork Data Intensive Computing
 
Best Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdfBest Practices for Effectively Running dbt in Airflow.pdf
Best Practices for Effectively Running dbt in Airflow.pdf
 
Cookies program to display the information though cookie creation
Cookies program to display the information though cookie creationCookies program to display the information though cookie creation
Cookies program to display the information though cookie creation
 
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsScaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops
 
Details of description part II: Describing images in practice - Tech Forum 2024
Details of description part II: Describing images in practice - Tech Forum 2024Details of description part II: Describing images in practice - Tech Forum 2024
Details of description part II: Describing images in practice - Tech Forum 2024
 
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfBT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
 
Recent Advancements in the NIST-JARVIS Infrastructure
Recent Advancements in the NIST-JARVIS InfrastructureRecent Advancements in the NIST-JARVIS Infrastructure
Recent Advancements in the NIST-JARVIS Infrastructure
 
Comparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdfComparison Table of DiskWarrior Alternatives.pdf
Comparison Table of DiskWarrior Alternatives.pdf
 
DealBook of Ukraine: 2024 edition
DealBook of Ukraine: 2024 editionDealBook of Ukraine: 2024 edition
DealBook of Ukraine: 2024 edition
 
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-In
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-In
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-In
 
Implementations of Fused Deposition Modeling in real world
Implementations of Fused Deposition Modeling  in real worldImplementations of Fused Deposition Modeling  in real world
Implementations of Fused Deposition Modeling in real world
 

Why Power BI is the right tool for you

  • 1. Marcos Freccia SQL Server DBA | Zalando SE Data Platform MVP @sqlfreccia freccia@outlook.com http://marcosfreccia.wordpress.com
  • 2. Common challenges for BI IT Professionals Managing data in the cloud Security, privacy and data refresh concerns for moving data into the cloud Ease of use and adoption Ease of adoption by business and IT orgs. Time spent on creating reports and visualizations Keeping data current Complexity of refreshing data from variety of data sources, increased demand for real-time data Integration with existing environment Cost and time involved in integration of solution into existing environment. Extensibility of system Management of BI systems Time spent on setup and management of BI systems. Ongoing hardware acquisitions and maintenance to meet SLAs Variety of data sources Complexity of connecting to on-premise and cloud (SaaS) data sources
  • 3. Feature • Power BI is a cloud-based business analytics service that enables • fast and easy access to your data • a live 360º view of your business • data discovery and exploration • insights from any device • collaboration across your organization • anyone to visualize and analyze data Power BI Experience your data. Any data, any way, anywhere
  • 4. Key benefits and differentiators of Power BI for IT Integrated with familiar Microsoft products, utilizes infrastructure, scale & availability in Azure & O365 Fast deployment with a hybrid solution, ease of maintenance and 99.9% uptime SLA Live connection to your data sources, on-premises and in the cloud Keep your data secure, use groups to manage access and sharing Open APIs for integration and new scenarios, e.g. real-time insights from devices Content delivery (dashboards, reports, models) for ease of consumption across your organizations
  • 5. Power BI Overview Data sources Power BI service SaaS solutions e.g. Marketo, Salesforce, GitHub, Google analytics On-premises data e.g. Analysis Services Custom content packs Corporate data sources or external data services Azure services Azure SQL, Stream Analytics… Excel files Workbook data / data models Power BI Desktop files Data from files, databases, Azure, and other sources Data refresh Visualizations Live dashboards Content packs Sharing & collaborationNatural language query Reports Datasets01001 10101
  • 6. Power BI Overview Power BI REST APIsPower BI Desktop Prepare Explore ShareReport Data sources SaaS solutions e.g. Marketo, Salesforce, GitHub, Google analytics On-premises data e.g. Analysis Services Custom content packs Corporate data sources or external data services Azure services Azure SQL, Stream Analytics… Excel files Workbook data / data models Power BI Desktop files Data from files, databases, Azure, and other sources Power BI service Data refresh Visualizations Live dashboards Content packs Sharing & collaborationNatural language query Reports Datasets01001 10101
  • 10. Marcos Freccia SQL Server DBA | Zalando SE Data Platform MVP @sqlfreccia freccia@outlook.com http://marcosfreccia.wordpress.com

Editor's Notes

  1. Purpose of this presentation: Describe the capabilities and value of Power BI for the IT Professional Target audience: Business Intelligence IT Professionals
  2. Key message: There are common challenges that IT professionals are faced with when implementing a new BI solution Talking points: Management of BI systems Variety of data sources Managing data in the cloud Integration with existing environment Keeping data current Ease of use and adoption
  3. Key message: Power BI is a business analytics service. With Power BI you can now see all of your data through a single pane of glass. Live Power BI dashboards and reports show visualizations and KPIs from data residing both on-premises and in the cloud, providing a consolidated view across your business regardless of where your data lives. Talking points: This is Power BI in a nutshell and the overall benefits to your business. We will look at what this means for the IT Pro and the key benefits for IT on the next slide
  4. Key message: There are several capabilities that differentiate Power BI from other offerings in the market. Talking points: What that means for the IT Pro – key benefits: - Power BI is a cloud service which allows for faster time to solution and ease of management. - Connect live to your on-premises data (e.g. SSAS), no need to move your data to the cloud. - Schedule data refresh for on-premises data sources - Connect live to your cloud-based data, e.g. Azure based data services, Dynamics CRM or other SaaS applications - Secure your data and manage permissions - Open APIs for custom development - Create and publish customized content packs of packaged data models, reports and dashboards for users to easily consume
  5. Let’s walk through an overview of how Power BI works. 1. The Power BI service, sometimes referred to as powerbi.com, is what allows you to: Create beautiful visualizations to tell compelling data stories Build rich, live dashboards that turn BI into business insights Create reports & datasets from which you can create visualizations and dashboards Enjoy the benefits of up-to-date data with real-time, automatic and scheduled refreshes Share dashboards easily with other people in your organization Ask questions of data in plain English with Natural Language Query Stay connected to your data all the time with mobile applications 2. Power BI connects to a variety of data sources. These range across both cloud and on-premises sources, and include: A variety of popular SaaS solutions, such as Marketo, Salesforce, GitHub, Dynamics CRM, Zendesk, and several others On-premises databases – Power BI offers live connectivity to SQL Server Analysis Services, which we’ll cover in more detail later. And using a gateway solution, Power BI can connect to other database solutions. Custom data sources – Power BI can connect to any data source you need it to thanks to its extensibility via REST APIs. This includes both proprietary corporate data sources, as well as external data services. For example, if you are a SaaS solution provider, you can work with Microsoft to connect your solution to Power BI. Other Azure services – Power BI integrates tightly with SQL Azure and Stream Analytics, and will be integrating closely with more Azure services over time Power BI Desktop and Excel files – Excel workbooks can be directly connected to Power BI.com, or may be used with Power BI Desktop. Power BI Desktop is a companion application to the Power BI service – it is a desktop tool that supports data analysis and reporting. Like Excel files, Power BI Desktop files may be uploaded to the Power BI service.
  6. There is more…. 3. Power BI Desktop is a visual data exploration tool that enables you to analyze data and create stunning reports. With Power BI Desktop, you are able to: Acquire and prepare data using extensive query capabilities Manipulation and consolidation of multiple data sources is performed in Power BI Desktop – this enables Power BI service users to use data from multiple sources in a single report Establish data structure, then transform and analyze data Visualize and explore your data in new ways through a freeform drag-and-drop canvas Author reports with a broad range of modern data visualizations Publish beautiful, interactive reports directly to powerbi.com 4. Finally, the Power BI REST API library allows you to customize nearly every aspect of Power BI, including connecting to custom data sources, enabling real-time data streaming from your data source to Power BI, and integrating other applications with Power BI
  7. There is more…. 3. Power BI Desktop is a visual data exploration tool that enables you to analyze data and create stunning reports. With Power BI Desktop, you are able to: Acquire and prepare data using extensive query capabilities Manipulation and consolidation of multiple data sources is performed in Power BI Desktop – this enables Power BI service users to use data from multiple sources in a single report Establish data structure, then transform and analyze data Visualize and explore your data in new ways through a freeform drag-and-drop canvas Author reports with a broad range of modern data visualizations Publish beautiful, interactive reports directly to powerbi.com 4. Finally, the Power BI REST API library allows you to customize nearly every aspect of Power BI, including connecting to custom data sources, enabling real-time data streaming from your data source to Power BI, and integrating other applications with Power BI
  8. There is more…. 3. Power BI Desktop is a visual data exploration tool that enables you to analyze data and create stunning reports. With Power BI Desktop, you are able to: Acquire and prepare data using extensive query capabilities Manipulation and consolidation of multiple data sources is performed in Power BI Desktop – this enables Power BI service users to use data from multiple sources in a single report Establish data structure, then transform and analyze data Visualize and explore your data in new ways through a freeform drag-and-drop canvas Author reports with a broad range of modern data visualizations Publish beautiful, interactive reports directly to powerbi.com 4. Finally, the Power BI REST API library allows you to customize nearly every aspect of Power BI, including connecting to custom data sources, enabling real-time data streaming from your data source to Power BI, and integrating other applications with Power BI
  9. There is more…. 3. Power BI Desktop is a visual data exploration tool that enables you to analyze data and create stunning reports. With Power BI Desktop, you are able to: Acquire and prepare data using extensive query capabilities Manipulation and consolidation of multiple data sources is performed in Power BI Desktop – this enables Power BI service users to use data from multiple sources in a single report Establish data structure, then transform and analyze data Visualize and explore your data in new ways through a freeform drag-and-drop canvas Author reports with a broad range of modern data visualizations Publish beautiful, interactive reports directly to powerbi.com 4. Finally, the Power BI REST API library allows you to customize nearly every aspect of Power BI, including connecting to custom data sources, enabling real-time data streaming from your data source to Power BI, and integrating other applications with Power BI
  10. Purpose of this presentation: Describe the capabilities and value of Power BI for the IT Professional Target audience: Business Intelligence IT Professionals
  11. Key message: Power BI is a Software as a Service (SaaS) BI solution Talking points: Power BI enables fast deployment with guaranteed SLAs for uptime Power BI scales to your demands, without having to worry about new hardware acquisitions and maintenance The service is updated for you
  12. Key message: Power BI has built-in connectivity to your data sources Talking points: ETL can be expensive and time consuming: connectors, development extraction and transformation processes, scheduling tools, data staging. Power BI makes it easier and faster to see results with built-in connectivity. Azure data services include HDInsight, Azure SQL Server DW, Azure Stream Analytics, Azure Machine Learning
  13. Key message: With Power BI you can create custom content packs for your organization Talking points: If you need to make data available across your organization, a custom connector can do just that in an efficient way. For example, your finance team can provide access to financial data to the appropriate users across the organization. In addition to connecting your data source, Power BI REST APIs enable you to create and publish custom content packs, which consist of pre-built dashboards, reports, data models, embedded queries, and metadata Content packs make it easier and faster for users to explore the data you’re providing – they get dashboards and reports that they can use immediately to drive insights
  14. Key message: Power BI comes with content packs for the SaaS solutions that you already use Talking points: It’s easy to discover business insights quickly by connecting all of the SaaS data sources you already use to Power BI Power BI has “connector” functionality that establishes a direct connection to a variety of popular SaaS solutions It’s more than just a connection though – Power BI has a “content pack” for each SaaS solution These “content packs” consist of pre-configured dashboards, reports, data models, embedded queries and metadata That means users don’t have to set anything up from scratch – you connect your data and instantly have a beautiful dashboard ready for you to customize to your needs Thanks to the direct connection from Power BI, data processing is optimized, so you can explore at a rapid pace And data is updated automatically each day (or on-demand if you need it) – no need for special refresh configuration
  15. Key message: Power BI works directly and seamlessly with other Azure Data Services Talking points: Power BI integrates with select Azure services, enabling you to build seamless end-to-end data solutions For example, Power BI integrates with SQL Database and SQL Database Auditing, making it easier to surface data from those solutions Power BI also directly integrates with Azure Stream Analytics - real-time data from Stream Analytics can be pushed directly into Power BI for real-time visibility via dashboards For example, if you have IoT devices like sensors and factory-floor machines connected to Stream Analytics, that data can be surfaced live to Power BI dashboards, so operations managers can get real-time information on the status of plant operations Integration with additional Azure services is planned, which will light up other scenarios
  16. Key message: Connect live to your existing on-premises data, such as SQL Server Analysis Services. No need to move your data to the cloud Talking points: Power BI lets you establish live connectivity with on-premises SQL Server Analysis Services tabular models Simply configure the connector to work with your existing SSAS solution With this connector, there is no need to move any data to the cloud – your data stays in SSAS on-premises, even while it is viewed in Power BI The connection is live – meaning that when users view and explore dashboards, Power BI interactively queries the on-premises cube to fetch the data right then This enables efficient data exploration thanks to optimized query performance You can create reports with SSAS data on powerbi.com, even while data remains on-premises Your existing, role-based SSAS permissions still apply – user access to SSAS data via Power BI is controlled the same way The connection to SSAS is secured via Azure Service Bus SSL encryption
  17. Key message: You can upload Excel and Power BI Desktop files from your computer, or connect to them on OneDrive for Business or OneDrive Personal Talking points: Excel files or Power BI Desktop files can be published directly to Power BI with one click These files may content datasets, data models and reports that Power BI users can explore immediately Take advantage of OneDrive for Business – Excel workbooks stored in OneDrive for Business can be connected to Power BI Any time the file is updated, data is refreshed on the Power BI service And as you’ll discover in a couple slides, Power BI Desktop connects to a broad variety of data sources, extending Power BI to an even greater range of data When you upload your files, the data gets uploaded to the cloud as well
  18. Key message: You can keep your data where it is Talking points: Power BI connects to data sources on your behalf. The connections require valid accounts that meet the requirements of the specific data source. In order for Power BI to refresh your dataset, you will need to provide credentials for that particular data source. The type of credentials required depend on the data source your dataset is connecting to. You will be required to enter credentials the first time you use Schedule Refresh or Refresh Now. Once entered, those credentials will be retained as part of refresh settings for that dataset. If you get data from another workbook that uses the same data source in a dataset you've already configured authentication credentials for, you won't need to configure credentials again for your new dataset.
  19. Key message: Power BI REST APIs allow developers to extend Power BI to deliver exactly what an organization needs Talking points: Here are some of the important uses of APIs: Push data directly from another application into Power BI Push not only static data, but also real-time data, into Power BI Just as Azure Stream Analytics can push data directly into Power BI, you can enable other applications to do the same thing for real time visibility This enables users to manage and monitor real-time content You can add Power BI to existing application workflows As discussed earlier, you can create custom connectors and content packs for unique data sources that Power BI doesn’t support as a default Manage authentication using Azure Active Directory integration
  20. Key message: Power BI has built-in data refresh capabilities Talking points: Connecting to SQL Server Analysis Services Tabular models by using the Power BI Analysis Services connector creates a live connection to model data, so there's no need to schedule refresh. Model data you see in Power BI is automatically refreshed about every ten minutes. Live connectivity to on-premises data Power BI supports live query over enterprise data sources such as SQL Server Analysis Services (Tabular models) Analysis Services with auto-refresh every 10 minutes Azure SQL Database with auto-refresh every 15 minutes
  21. Key message: The Power BI Personal Gateway empowers business analysts to securely and easily keep their data in sync with on-premises data Talking points: With the Power BI Desktop or Excel, business analysts can import data from a wide range of on-premises sources and publish it to Power BI. The Personal Gateway keeps this imported data in sync so that reports and dashboards in Power BI are always up-to-date. The power of the Personal Gateway is in its ease of use. Once the Personal Gateway is running on the user’s computer, data refresh is seamless. The Personal Gateway helps analysts to quickly get started and refresh content in Power BI without having to depend on IT – this is a tremendous productivity gain offering self-service in its truest sense!
  22. Thanks for taking the time to walk through the main capabilities of Power BI. To get started, please visit powerbi.com.