Big Data

Practicle seminars on Big Data, Hadoop, NoSQL, Data Lake, Spark and Predictive Analytics. Benefit from the wealth of experience of thought leaders and international keynote speakers Rick van der Lans and Mike Ferguson.






10-11-2021

Logisch Datawarehouse – Architectuur, Ontwerp en Technologie

The Logical Data Warehouse, a flexible architecture introduced by Gartner, is based on disconnecting reporting and analysis on the one hand and information sources on the other. Rick van der Lans discusses the architecture, implementation aspects and offers a market overview.

Rick van der Lans

November 10-11, 2021

Utrecht

Face-to-Face

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07-12-2021

Designing, Operating and Managing an Enterprise Data Lake

Governing your Information across Hadoop, Cloud Storage, Data Warehouses, MDM & NoSQL Data Stores A new approach in designing, building and managing an enterprise data lake to get control of your data. This includes introducing a data refinery and information catalog to produce and publish enterprise data services.

Mike Ferguson

December 7-8, 2021

Utrecht

Face-to-Face and Live Streaming

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08-03-2022

Ontwerpen van een Nieuwe Data Architectuur

(Dutch spoken) Organizations need data science, self-service BI, embedded BI, edge analytics, and customer-driven BI. This seminar provides guidelines, roadmaps, design criteria, tips, design rules, use cases, case studies, and practical examples for developing a new future-proof data architecture.

Rick van der Lans

March 8 - 9, 2022

Utrecht

Face-to-Face

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22-03-2022
Accelerate your Cloud DWH. Register now!

Cloud Data Warehousing

Practical approach and best practices [Face-to-Face - Dutch spoken] In this seminar you will get a clear picture of the different aspects of Cloud Data Warehousing. A practical approach, technology overview, available tools, implementation aspects and best practices. A compact yet high yield seminar by expert Rogier Werschkull.

Rogier Werschkull

March 22, 2022

Utrecht

Face-to-Face and Live Streaming

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Machine Learning & Advanced Analytics

Look at how machine learning and advanced analytical techniques techniques such as text analyses, sentiment analysis, graph and streaming analytics can be used at scale on Big data to provide new insight that helps foster growth, reduce costs and improve effectiveness for competitive advantage.

Mike Ferguson

Hilversum

Face-to-Face

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