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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.