BI-DWH

Events on Business Intelligence and Data Warehousing, as well as Big Data, Analytics and Data Visualization.

27-03-2019
Join our thought leaders on Big Data and Analytics

Data Warehousing & Business Intelligence Summit

Conference on Data Warehousing & Business Intelligence with top rated speakers Kent Graziano, Keith McCormick, Lawrence Corr, Nigel Turner, Rick van der Lans. Topics: Big Data, Agile Datawarehouse Design, Analytics & Data Science, Dimensional Modeling. Data Storytelling, Cloud-based BI.

Rick van der Lans

March 27-28, 2019

Utrecht

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01-04-2019
New hands-on workshop

New: Putting Machine Learning to Work

Translating Organizational Challenges into Supervised & Unsupervised Learning Solutions Attend this course to understand when to apply supervised or unsupervised machine learning models. Learn how to prepare data for each and translate results for organizational consumption and benefit. Learn how real-world projects often combine different kinds modeling methods.

Keith McCormick

April 1 and 2, 2019

Utrecht

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11-04-2019
Hands-on workshop

Datavisualisatie en Data Driven Storytelling

(Dutch spoken) How do you go from data to insight? Lex Pierik addresses the trends in data visualization, dashboards and graphs, and the role and function of visualization within your organization. You will experience hands-on training in the workshop Data Driven Storytelling.

Lex Pierik

April 11, 2019

Utrecht

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17-04-2019
Complete overview of the BI ecosystem.

Business Intelligence & Datawarehousing Fundamentals

(Dutch spoken) The world of BI and data warehousing can feel overwhelming due to their unique terminology and technologies. What do star scheme data mart, ETL, self-service BI, data science, big data, staging area and BI in the cloud actually mean? This seminar gives you a complete and practical introduction.

Rick van der Lans

April 17-18, 2019

Utrecht

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20-05-2019

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

May 20 - 21, 2019

Utrecht

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23-05-2019
Big Data technology and products

Big Databasetechnologie

(Dutch spoken) Van Hadoop tot NoSQL en van Analytical SQL tot Translytical Databases A unique seminar that will take you through the latest technology and products. Big Data, Hadoop, NoSQL, Spark, Kudu, GPU databases will have no more secrets after attending this session. What are the use cases for your company? How do you integrate with an existing datawarehouse architecture?

Rick van der Lans

May 23, 2019

Utrecht

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04-06-2019

Logisch Datawarehouse – Architectuur, Ontwerp en Technologie

(Dutch spoken) 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

June 4 - 5, 2019

Utrecht

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19-06-2019
NEW!

New: Agile Data Warehouse Design & Dimensional Modeling

Collaborative BI Requirements Analysis & Dimensional Modeling Training A 3-day dimensional modelling course presented internationally by leading data warehousing expert and author Lawrence Corr, covering the latest agile techniques for systematically gathering Business Intelligence (BI) requirements and designing effective DW/BI systems.

Lawrence Corr

June 19-21, 2019

Utrecht

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10-12-2019

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

December 10-11, 2019

Hilversum

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