This presentation (33 slides) explains why data warehouses have to change not only to speed up development, improve agility, reduce costs but also to exploit new data, enable self-service data preparation, utilize advanced analytics and integrate with these other analytical platforms.
Download (1.86 MB)We have seen many fads and fashions pass in IT and you may wonder whether “modern data architecture” may be one of them? It isn’t. Modern data architectures are so fundamentally different from the past analytical structures that we had to adapt. Learn how in our Modern Data Series.
| Title | Status |
| Part 1. Why Modernize Your Data Warehouse | Published |
| Part 2. Using a Data Lake to Accelerating ETL Development | Published |
| Part 3. Modern Data Pipelines | Coming Soon |
| Part 4. Thinking About Migrating You Data Warehouse To The Cloud? | Scheduled |
| Part 5. Self-Service Data Science | Scheduled |
13-14 October – Virtual Live CET Time
Learn why a data lake is now the starting point in a data architecture, why you need a data lake to lower the cost of data integration and why you can’t do DataOps without one.
15-16 October – Virtual Live CET Time
This course provides you with the necessary knowledge to scope, design and implement an effective data governance & MDM solution your organization.
26-27 November – Virtual Live CET Time
Data Warehousing is not dead, but it has to change not only to speed up development, improve agility, reduce costs but also to exploit new data, enable self-service data preparation, utilize advanced analytics and integrate with other analytical platforms. In this 2-day course, you will learn how to: