Alteryx is a platform that allows companies to answer business questions quickly and efficiently. The platform can be used as a major building block in a digital transformation or automation initiative. Alteryx allows teams to build processes in a more efficient, repeatable, less error-prone, and less risky way.
Slides for the Usergroup meeting for the Manchester Power BI User Group on June 27th, 2019. Subject: Power BI for Developers about Power BI Embedded and Power BI Custom Visuals
process that manages the data extracts and caches them in memory for fast access. Tableau 26 Architecture Gateway / Load balancer: distributes requests from clients to application servers. It provides high availability and scalability. Customers: Tableau offers desktop, web and mobile clients to access Tableau Server. - Tableau Desktop: allows you to create and edit visualizations and dashboards. - Web interface: allows you to view and interact with published views. - Tableau Mobile: optimized for mobile devices to view and interact with published views. Tableau 27 Technical Review Tableau 28 Technical Review Data Connectivity - Connects to a
This document provides an overview and summary of the author's background and expertise. It states that the author has over 30 years of experience in IT working on many BI and data warehouse projects. It also lists that the author has experience as a developer, DBA, architect, and consultant. It provides certifications held and publications authored as well as noting previous recognition as an SQL Server MVP.
Power BI is a business analytics service that enables you to see all of your data through a single pane of glass. Live Power BI dashboards and reports...
Databricks is a Software-as-a-Service-like experience (or Spark-as-a-service) that is a tool for curating and processing massive amounts of data and developing, training and deploying models on that data, and managing the whole workflow process throughout the project. It is for those who are comfortable with Apache Spark as it is 100% based on Spark and is extensible with support for Scala, Java, R, and Python alongside Spark SQL, GraphX, Streaming and Machine Learning Library (Mllib). It has built-in integration with many data sources, has a workflow scheduler, allows for real-time workspace collaboration, and has performance improvements over traditional Apache Spark.
This describes a conceptual model approach to designing an enterprise data fabric. This is the set of hardware and software infrastructure, tools and facilities to implement, administer, manage and operate data operations across the entire span of the data within the enterprise across all data activities including data acquisition, transformation, storage, distribution, integration, replication, availability, security, protection, disaster recovery, presentation, analytics, preservation, retention, backup, retrieval, archival, recall, deletion, monitoring, capacity planning across all data storage platforms enabling use by applications to meet the data needs of the enterprise. The conceptual data fabric model represents a rich picture of the enterprise’s data context. It embodies an idealised and target data view. Designing a data fabric enables the enterprise respond to and take advantage of key related data trends: • Internal and External Digital Expectations • Cloud Offerings and Services • Data Regulations • Analytics Capabilities It enables the IT function demonstrate positive data leadership. It shows the IT function is able and willing to respond to business data needs. It allows the enterprise to meet data challenges • More and more data of many different types • Increasingly distributed platform landscape • Compliance and regulation • Newer data technologies • Shadow IT where the IT function cannot deliver IT change and new data facilities quickly It is concerned with the design an open and flexible data fabric that improves the responsiveness of the IT function and reduces shadow IT.
Power BI has become a product with a ton of exciting features. This presentation will give an overview of some of them, including Power BI Desktop, Power BI service, what’s new, integration with other services, Power BI premium, and administration.
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Azure Data Factory is a cloud-based data integration service that orchestrates and automates the movement and transformation of data. In this session we will learn how to create data integration solutions using the Data Factory service and ingest data from various data stores, transform/process the data, and publish the result data to the data stores.
YouTube Link: https://youtu.be/3u7MQz1EyPY ** Power BI Training - https://www.edureka.co/power-bi-training ** This Edureka PPT on "Power BI Full Course" will help you understand and learn Power BI in detail. This Power BI Tutorial is ideal for both beginners as well as professionals who want to master up their Power BI concepts.
This document provides an overview of Tableau, a data visualization software. It outlines the agenda for the presentation, which will cover connecting to data, visual analytics with Tableau, dashboards and stories, calculations, and mapping capabilities. Tableau allows users to connect to various data sources, transform raw data into interactive visualizations, and share dashboards or publish them online. It is a leading tool for data analysis and visualization.
( Power BI Training - https://www.edureka.co/power-bi-training ) This Edureka videoon "Power BI Tutorial" will provide you with the fundamental knowledge on Power BI (Blog: https://goo.gl/uFTDU3). Below are the topics covered in this tutorial: 1. Why do we need Business Intelligence? 2. What is Self Service Business Intelligence? 3. Why Power BI? 4. What is Power BI? 5. Demo: Report and Dashboard Creation