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28.08.19
Otto Neuer, Denodo
Dr. Gero Presser, QuinScape
Datenvirtualisierung:
Wie Sie Ihre Datenarchitektur
agiler machen
23.09.2020
10:00-10:45 Uhr
Otto Neuer, Denodo
Dr. Gero Presser, QuinScape
Datenvirtualisierung:
Wie Sie Ihre Daten-
architektur agiler machen
23.09.2020
10:00-10:45 Uhr
WEBINAR
2
Denodo
The Leader in Data Virtualization
DENODO OFFICES, CUSTOMERS, PARTNERS
Palo Alto, CA.
Global presence throughout North America,
EMEA, APAC, and Latin America.
LEADERSHIP
▪ Longest continuous focus on data
virtualization – since 1999
▪ Leader in 2018 Forrester Wave – Big
Data Fabric
▪ Challenger in 2019 Gartner Magic
Quadrant for Data Integration Tools
▪ Winner of numerous awards
CUSTOMERS
~800+ customers, including many F500
and G2000 companies across every major
industry have gained significant business agility
and ROI.
FINANCIALS
Backed by $4B+ private equity firm.
50+% annual growth; Profitable.
3
• IT Architecture is Unmanageable & Brittle because:
Business – IT Dilemma
Business wants
all enterprise
data, integrated,
and up-to-date
IT responds by
loosely stitching
together
disparate data
sources
Business Wants All of the Data, Now
– So IT creates 100s to 1000s of brittle direct connections and
replicates large volumes of data
Inventory System
(MS SQL Server)
Product Catalog
(Web Service -SOAP)
BI / Reporting
JDBC, ODBC,
ADO .NET
Web / Mobile
WS – REST JSON,
XML, HTML, RSSLog files
(.txt/.log files)
CRM
(MySQL)
Billing System
(Web Service - Rest)
ETL
Portals
JSR168 / 286,
Ms Web Parts
SOA, Middleware,
Enterprise Apps
WS – SOAP
Java API
Customer Voice
(Internet, Unstruc)
4
“Data Gravity” Pulls the Data Towards the Sources
Stop collecting, Start connecting
5
Logical Architecture – Path to the Future
Stop collecting, Start connecting
6
Gartner’s Logical Data Warehouse Architecture
7
Data Services
✓ Data as a Service
✓ Data Marketplace
✓ Data Services
✓ Application and Data Migration
Cloud Solutions
BI and Analytics
✓ Self-Service Analytics
✓ Logical Data Warehouse
✓ Enterprise Data Fabric
Data Lakes
✓ Logical Data Lake
✓ Data Warehouse Offloading
✓ IoT Analytics
✓ Cloud Modernization
✓ Cloud Analytics
✓ Hybrid Data Fabric
Denodo ‘Horizontal Solution’ Categories
8
Objectives for the Modern Data-Driven Business
1. Single entry-point to explore and query ALL data
• Users don’t want to waste time searching across different data sources
• IT doesn’t want their users having access to all their production systems
2. Create a self-service culture for data consumers
• Users don’t want to have to learn to code (SQL, Python, Java, etc)
• They want to use the tools they’re most comfortable with
3. Implement security & governance across multiple systems
• Leadership wants to reduce the amount of data that’s copied across the org
• Minimize the risk of a data breach & avoid creating multiple versions of truth
9
Data Virtualization: Unified Data Integration and Delivery
• Data Abstraction: decoupling
applications/data usage from data
sources
• Data Integration without replication
or relocation of physical data
• Easy Access to Any Data, high
performant and real-time/ right-
time
• Data Catalog for self-service data
services and easy discovery
• Unified metadata, security &
governance across all data assets
• Data Delivery in any format with
intelligent query optimization that
leverages new and existing
physical data platforms
A logical data layer – a “data fabric” – that provides high-performant, real-time, and secure access to
integrated business views of disparate data across the enterprise
10
Enterprise Scale Deployments
Company confidential – do not forward or distribute
▪ Amazon Cloud deployment
▪ 2 x r3.2xlarge servers
▪ LDW with Millions queries/day
▪ Enterprise Data Access Layer for all
Reporting and Analytics
▪ 8 x 16 core servers deployed
worldwide data centers work as
one logical system
▪ 160+ different sources
▪ 1,000’s business views & services
▪ Used over 2/3 of all business and
operational transactions
▪ 1K’s queries/minute
▪ 2 x 8 core servers
▪ Both Informational & Operational
Use cases
▪ Single View of Supply Chain
▪ Multi-tier cluster
▪ 2 geographical locations (LA & NJ)
▪ 6 x 8 core servers
▪ Single Source of Truth for every
transaction and report
Major CE-Customers
Data Virtualization
Successful Marquee Customer Use Cases
SELF-SERVICE BI
Created logical data warehouse with 33 virtual data marts
using Denodo Platform for Self-Service BI
Empowered Seacoast stakeholders for faster business
decision making and reduced EDW deployment time
BIG DATA, CLOUD INTEGRATION
Logitech moved to cloud for agility, flexibility and efficiency of data
analytics process using data virtualization
Denodo Platform provided consistent security model across applications
and helps in rapid prototyping
360 DEGREE VIEW OF CUSTOMER
Created property and casualty data virtualization platform using
Denodo to aggregate variety of data sources
Created 360° views for business users for faster time-to-value for
deals, claims and other departments
DATA SERVICES
Delivered commercial products developed using data services.
Achieved faster time-to-market and increased revenue.
Q&A
Thanks!
www.denodo.com info@denodo.com
© Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm,
without prior the written authorization from Denodo Technologies.

More Related Content

Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)

  • 1. 28.08.19 Otto Neuer, Denodo Dr. Gero Presser, QuinScape Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen 23.09.2020 10:00-10:45 Uhr Otto Neuer, Denodo Dr. Gero Presser, QuinScape Datenvirtualisierung: Wie Sie Ihre Daten- architektur agiler machen 23.09.2020 10:00-10:45 Uhr WEBINAR
  • 2. 2 Denodo The Leader in Data Virtualization DENODO OFFICES, CUSTOMERS, PARTNERS Palo Alto, CA. Global presence throughout North America, EMEA, APAC, and Latin America. LEADERSHIP ▪ Longest continuous focus on data virtualization – since 1999 ▪ Leader in 2018 Forrester Wave – Big Data Fabric ▪ Challenger in 2019 Gartner Magic Quadrant for Data Integration Tools ▪ Winner of numerous awards CUSTOMERS ~800+ customers, including many F500 and G2000 companies across every major industry have gained significant business agility and ROI. FINANCIALS Backed by $4B+ private equity firm. 50+% annual growth; Profitable.
  • 3. 3 • IT Architecture is Unmanageable & Brittle because: Business – IT Dilemma Business wants all enterprise data, integrated, and up-to-date IT responds by loosely stitching together disparate data sources Business Wants All of the Data, Now – So IT creates 100s to 1000s of brittle direct connections and replicates large volumes of data Inventory System (MS SQL Server) Product Catalog (Web Service -SOAP) BI / Reporting JDBC, ODBC, ADO .NET Web / Mobile WS – REST JSON, XML, HTML, RSSLog files (.txt/.log files) CRM (MySQL) Billing System (Web Service - Rest) ETL Portals JSR168 / 286, Ms Web Parts SOA, Middleware, Enterprise Apps WS – SOAP Java API Customer Voice (Internet, Unstruc)
  • 4. 4 “Data Gravity” Pulls the Data Towards the Sources Stop collecting, Start connecting
  • 5. 5 Logical Architecture – Path to the Future Stop collecting, Start connecting
  • 6. 6 Gartner’s Logical Data Warehouse Architecture
  • 7. 7 Data Services ✓ Data as a Service ✓ Data Marketplace ✓ Data Services ✓ Application and Data Migration Cloud Solutions BI and Analytics ✓ Self-Service Analytics ✓ Logical Data Warehouse ✓ Enterprise Data Fabric Data Lakes ✓ Logical Data Lake ✓ Data Warehouse Offloading ✓ IoT Analytics ✓ Cloud Modernization ✓ Cloud Analytics ✓ Hybrid Data Fabric Denodo ‘Horizontal Solution’ Categories
  • 8. 8 Objectives for the Modern Data-Driven Business 1. Single entry-point to explore and query ALL data • Users don’t want to waste time searching across different data sources • IT doesn’t want their users having access to all their production systems 2. Create a self-service culture for data consumers • Users don’t want to have to learn to code (SQL, Python, Java, etc) • They want to use the tools they’re most comfortable with 3. Implement security & governance across multiple systems • Leadership wants to reduce the amount of data that’s copied across the org • Minimize the risk of a data breach & avoid creating multiple versions of truth
  • 9. 9 Data Virtualization: Unified Data Integration and Delivery • Data Abstraction: decoupling applications/data usage from data sources • Data Integration without replication or relocation of physical data • Easy Access to Any Data, high performant and real-time/ right- time • Data Catalog for self-service data services and easy discovery • Unified metadata, security & governance across all data assets • Data Delivery in any format with intelligent query optimization that leverages new and existing physical data platforms A logical data layer – a “data fabric” – that provides high-performant, real-time, and secure access to integrated business views of disparate data across the enterprise
  • 10. 10 Enterprise Scale Deployments Company confidential – do not forward or distribute ▪ Amazon Cloud deployment ▪ 2 x r3.2xlarge servers ▪ LDW with Millions queries/day ▪ Enterprise Data Access Layer for all Reporting and Analytics ▪ 8 x 16 core servers deployed worldwide data centers work as one logical system ▪ 160+ different sources ▪ 1,000’s business views & services ▪ Used over 2/3 of all business and operational transactions ▪ 1K’s queries/minute ▪ 2 x 8 core servers ▪ Both Informational & Operational Use cases ▪ Single View of Supply Chain ▪ Multi-tier cluster ▪ 2 geographical locations (LA & NJ) ▪ 6 x 8 core servers ▪ Single Source of Truth for every transaction and report
  • 12. Data Virtualization Successful Marquee Customer Use Cases SELF-SERVICE BI Created logical data warehouse with 33 virtual data marts using Denodo Platform for Self-Service BI Empowered Seacoast stakeholders for faster business decision making and reduced EDW deployment time BIG DATA, CLOUD INTEGRATION Logitech moved to cloud for agility, flexibility and efficiency of data analytics process using data virtualization Denodo Platform provided consistent security model across applications and helps in rapid prototyping 360 DEGREE VIEW OF CUSTOMER Created property and casualty data virtualization platform using Denodo to aggregate variety of data sources Created 360° views for business users for faster time-to-value for deals, claims and other departments DATA SERVICES Delivered commercial products developed using data services. Achieved faster time-to-market and increased revenue.
  • 13. Q&A
  • 14. Thanks! www.denodo.com info@denodo.com © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies.