Enabling Self-Service Analytics with Logical Data Warehouse (APAC)
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The document discusses a webinar series on data virtualization addressing significant integration challenges and promoting self-service analytics through a logical data warehouse approach. It highlights Autodesk's transition to subscription pricing and the related data architecture challenges, emphasizing the need for a logical data warehouse to provide streamlined access to diverse data sources. Key takeaways include the flexibility of a logical data warehouse to integrate new technologies while ensuring user accessibility across various analytical platforms.
Enabling Self-Service Analytics with Logical Data Warehouse (APAC)
- 1. DATA VIRTUALIZATION APAC WEBINAR SERIES Sessions Covering Key Data Integration Challenges Solved with Data Virtualization
- 2. Enabling Self-Service Analytics with the Logical Data Warehouse Chris Day Director, APAC Sales Engineering, Denodo Sushant Kumar Product Marketing Manager, Denodo
- 3. Reporting Analytics Data Sources ETL Staging Area ETL Core DWH ETL Data Marts Data Analytics – The way we did it 25 years ago
- 4. Logical Architecture – Path to the Future Stop collecting, Start connecting
- 5. Gartner’s Logical Data Warehouse Architecture
- 7. 7 Source: DAMA Data Management Book of Knowledge (DMBOK), 2nd Edition Data Virtualization enables distributed databases, as well as multiple heterogeneous data stores, to be accessed and viewed as a single database. Rather than physically performing ETL on data with transformation engines, Data Virtualization servers perform data extract, transform and integrate virtually.
- 8. Raw Data Zone Staging Area Curated Data Zone Core DWH model Data Warehouse Data Lake Data Virtualization Platform Cloud Views Hybrid Views DWH Views Analytical Views Data Science Views λ Views Real-Time Views Universal Catalog of Data Services Centralized Access Control Data Science AI ML Applications Real-Time Steams Traditional Data Sources Cloud Logical Data Warehouse Logical Data Warehouse Reference Architecture
- 9. Customer Story - Autodesk
- 10. The Autodesk Story • Founded 1982 (NASDAQ: ASDK) • Annual revenues (FY 2018) $2.06B § Over 8,800 employees • 3D modeling and animation software § Flagship product is AutoCAD • Market sectors: § Architecture, Engineering, and Construction § Manufacturing § Media and Entertainment § Recently started 3D Printing offerings
- 11. Business Drivers for Change • Software consumption model is changing § Perpetual licenses to subscriptions § User want more flexibility in how they use software • Autodesk needed to transition to subscription pricing § Some products are subscription only • Lifetime revenue higher with subscriptions § Over 3-5 years, subscriptions = more revenues • Changing a licensing model is disruptive
- 12. Technology Challenges • Current ‘traditional’ BI/EDW architecture not designed for data streams from online apps § Weblogs, Clickstreams, Cloud/Desktop apps, etc. • Existing infrastructure can’t simply ‘go away’ § Regulatory reporting (e.g. SEC) § Existing ‘perpetual’ customers • ‘Subscription’ infrastructure work in parallel § Extend and enhance existing systems § With single access point to all data • Solution – ‘Logical Data Warehouse’
- 13. Raw Data Zone Staging Area Curated Data Zone Core DWH model Data Warehouse Data Lake Data Virtualization Platform Cloud Views Hybrid Views DWH Views Analytical Views Data Science Views λ Views Real-Time Views Universal Catalog of Data Services Centralized Access Control Real-Time Steams Traditional Data Sources Logical Data Warehouse Autodesk Solution Architecture
- 14. Key Takeaways • Analytics in a Modern Data Architecture means more than just the Enterprise Data Warehouse – there will be other data repositories and analytical engines. • A Logical Data Warehouse allows users to access any of the data in your analytics environment – seemingly from a single (virtual) repository. • A Logical Data Warehouse provides a flexible and extensible modern data architecture which can adapt to new data technologies and tools without unduly impacting the users.
- 15. Next Steps
- 17. Bringing a Real-Time Flavor to Your Enterprise Analytics Katrina Briedis Sales Engineering, Denodo Sushant Kumar Product Marketing Manager, Denodo REGISTER NOW denodo.link/wb2106 Next session | 15 July | 8.30am IST / 11.00am SGT / 1.00pm AEST
- 18. 18 TDWI Checklist Report Delivering Faster Insights: The Hybrid Cloud Data Warehouse Access Report: denodo.link/cdw21
- 19. Thanks! www.denodo.com [email protected] © 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.