Streaming Analytics enable the execution of predictive models that operate on the never-ending data streams. Bas Geerdink discusses the three main steps of a streaming analytics solution and the core of the required architecture. With various use cases he will show the challenges and the technological options for implementation of the architecture.
Within a large pension insurance company, sustainability was one of the design principles when setting up a data environment. The data warehouse architecture was constantly adapted in an iterative manner. In this session, Mark van der Veen discusses how the data foundation was adapted and expanded for multiple purposes.
This session will present you the processing of data from oil and gas exploration, development, and from new energy sources. Johan Krebbers from Shell International will discuss the advantages of the metadata-driven OSDU Data Platform, like easy access for AI based applications and datatype optimized APIs.
Martijn van Rooijen and Jeroen Alblas give a peek into the data kitchen of the RIVM. After the introduction of the SARS-CoV-2 virus in The Netherlands, the healthcare chain faced major challenges. For the development of the Covid-19 dashboard, it was important to extract data streams with high-quality data from the care chain. Data virtualisation played an important role in this.
Migrating a data warehouse to the cloud can be a daunting task because of its lifespan. De-risk a data warehouse migration project before you migrate anything is important according to Mike Ferguson. He looks at what is involved in migrating a data warehouse to a cloud environment and how a migration can cause changes to the data architecture.
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