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Business intelligence has changed dramatically the last years. The time-to-market for new reports and analysis has to be shortened, new data sources have to be made available to business users more quickly, self-service BI and data science must be supported, more and more users want to work with zero-latency data, adoption of new technologies, such as Hadoop, Spark, and NoSQL, must be easy, and analysis of streaming data and big data is required.
The classic data warehouse architecture has served many organizations well. But it is not the right architecture for this new world of BI. It is time for organizations to migrate gradually to a more flexible architecture: the logical data warehouse architecture. This architecture, introduced by Gartner, is based on a decoupling of reporting and analyses on the one hand, and data sources on the other hand.
Classic data warehouse architectures are made up of a chain of databases. This chain consists of numerous databases, such as the staging area, the central data warehouse and several data marts, and countless ETL programs needed to pump data through the chain. Integrating self-service BI products with this architecture is not easy and certainly not if users want to access the source systems. Delivering 100% up-to-date data to support operational BI is difficult to implement. And how do we embed new storage technologies into this architecture ?
With the logical data warehouse architecture new data sources can hooked up to the data warehouse more quickly, self-service BI can be supported correctly, operational BI is easy to implement, the adoption of new technology is much easier, and in which the processing of big data is not a technological revolution, but an evolution.
The technology to create a logical data warehouse is available, and many organizations have already completed the migration successfully; a migration that is based on a step-by-step process and not on full rip-and-replace approach.
In this practical seminar, the architecture is explained and products will be discussed. It discusses how organizations can migrate their existing architecture to this new one. Tips and design guidelines are given to help make this migration as efficient as possible.
This two-day seminar is aimed at everyone who needs to stay informed about the latest developments in business intelligence and datawarehousing, such as Business intelligence specialists; data analysts; data warehouse designers; business analysts; data scientists; technology planners; technical architects; enterprise architects; IT consultants; IT strategists; systems analysts; database developers; database administrators; solutions architects; data architects; IT managers.
Some knowledge of the classic data warehouse architecture is a plus.
You get a copy of the most recent edition of the book "Data Virtualization for Business Intelligence Systems", written by Rick van der Lans.
Presented by Rick van der Lans
1. Challenges of the classic datawarehouse
2. The Logical Data Warehouse Architecture (LDWA)
3. Implementing a Logical Data Warehouse with Data Virtualization Servers
4. Improving the Query Performance of Data Virtualization Servers
5. Migrating to a Logical Data Warehouse
6. Self-Service BI and the Logical Data Warehouse
7. Big Data and the Logical Data Warehouse
8. Physical Data Lakes or Virtual Data Lakes?
9. Implementing Operational BI with a Logical Data Warehouse
10. Making Data Vault more Flexible with a Logical Data Warehouse
11. The Logical Data Warehouse and the Environment
12. Closing Remarks
You get a copy of the most recent edition of the book "Data Virtualization for Business Intelligence Systems", written by Rick van der Lans.
Rick van der Lans is a highly-respected independent analyst, consultant, author, and internationally acclaimed lecturer specialising in data warehousing, business intelligence, big data, and database technology.
He has presented countless seminars, webinars, and keynotes at industry-leading conferences. For many years, he has served as the chairman of the annual European Enterprise Data and Business Intelligence Conference in London and the annual Data Warehousing and Business Intelligence Summit in The Netherlands.
Rick helps clients worldwide to design their data warehouse, big data, and business intelligence architectures and solutions and assists them with selecting the right products. He has been influential in introducing the new logical data warehouse architecture worldwide which helps organisations to develop more agile business intelligence systems.
Over the years, Rick has written hundreds of articles and blogs for newspapers and websites and has authored many educational and popular white papers for a long list of vendors. He was the author of the first available book on SQL, entitled including Introduction to SQL, which has been translated into several languages with more than 100,000 copies sold. More recently, he published his book Data Virtualization for Business Intelligence Systems.
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