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What you will learn ?
This seminar provides you with answers to the following questions:
Why do we organise this seminar ?
This seminar focuses on Data Virtualization. The technology is explained, advantages and disadvantages are discussed, products are compared, and use cases are discussed.
Data is increasingly becoming a crucial asset for organisations to survive in today’s fast moving business world. In addition, data becomes more valuable if enriched and/or fused with other data. Unfortunately, enterprise data is dispersed by most organisations over numerous systems all using different technologies. To bring all that data together is and has always been a major technological challenge.
In addition, more and more data is available outside the traditional enterprise systems. It's stored in big data platforms, in cloud applications, spreadsheets, simple file systems, in weblogs, in social media systems, and so on. and stored in traditional databases. For each system that requires data from several systems, different integration solutions are deployed. In other words, integration silos have been developed that over time has led to a complex integration labyrinth. The disadvantages are clear:
The bar for integration tools and technology has been raised: the integration labyrinth has to disappear. It must become easier to integrate data from multiple systems, and integration solutions should be easier to design and maintain to keep up with the fast changing business world.
All these new demands are changing the rules of the integration game, they demand that integration solutions are developed in a more agile way. One of the technologies making this possible today is Data Virtualization.
Who should attend this seminar ?
This seminar is aimed at everyone who needs to stay up-to-date about the latest trends in business intelligence, such as:
This course is a pre-conference workshop of the BI & Data Analytics Summit, a large conference in Belgium with 2 keynote speakers, 12 case-based presentations, and over 100 participants.