Data Warehousing & BI Summit - Mike Ferguson - Rick van der Lans - Alec Sharp Data Warehousing & Business Intelligence Summit

Physical data modelling in a ‘modern data warehouse’ based on Snowflake or BigQuery [Dutch spoken]

When migrating on-premise data warehouses to the public cloud, new technological possibilities allow new approaches. Data-solution architect Rogier Werschkull will give insights into the (im)possibilities in this area, looking at how this can be practically tackled within solutions like Snowflake or Google BigQuery.

Fast Data – concepts, architecture and technology of streaming analytics [Dutch spoken]

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.

Embedding Data Science in your Data Platform [Dutch spoken]

The migration of data science models and related activities to a controlled data and application landscape is a tough challenge according to Data Architect Hans Pannekoek. He takes you on a journey from ambition to operationalization, showing important choices and how to migrate.

Continuous value creation from an incremental DWH architecture [Dutch spoken]

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.

Overview of the Open Energy Data Platform (OSDU) [Dutch spoken]

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.

The data kitchen of the RIVM: from testlocation to Covid-19 dashboard [Dutch spoken]

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.

Experiences with embedded BI in customer-facing applications [Dutch spoken]

The development of Embeddded BI applications requires a special development approach and the use of diverse technologies. Lead Software Developer & Architect Marc de Haas presents the Five levels of Embedded BI, the various architecture options and will discuss implementation issues of Embedded BI.

Guidelines for Migrating Your Data Warehouse to the Cloud

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.

[Test] Moderne data-architecturen [Dutch spoken]

[Test] [Bekijk Live Stream] with regular hyperlink.

Test video interview [Bekijk YouTube preview] met hyperlink naar YouTube.

Model Driven Data Vault Automation with Datavault Builder

In this session we will give you a turbo introduction on how to put the data modeler back on the driver’s seat.
See how your data model is implemented into a working solution in real-time.