Thank you for your interest in the WWDVC EU 2020.
Unfortunately, in view of this difficult situation with COVID-19, we had to decide to cancel this year’s conference in order not to put anyone at risk.
Keep an eye on our website, the Newsletter or follow us on Twitter, LinkedIn or Xing for the latest news and the new date for WWDVC EU 2021.
We would be very happy to welcome you all back next year, safe and sound!
Welcome to the World Wide Data Vault Consortium in Europe!
This conference features the latest trends within Big Data, Business Intelligence (BI), Data Warehousing, Data Analytics, and Data Vault. That being the case, World Wide Data Vault Consortium (WWDVC) is one of the most renowned and authoritative, annual Data Vault conferences held within the US as each year innovative minds come together to exchange case studies, ideas, and experiences to further push what is possible within the industry.
This year, held for the second time within Europe, the conference will be organized by Scalefree, together with the inventor of Data Vault 2.0 – Dan Linstedt.
Data Warehousing is not only performing simple batch processes on relational databases for a long time. With the age of Big Data new technologies and ways to deal with data sprouted from the ground. But, what is the status today? Which technologies and strategies have proven their worth over the years and what are promising outlooks?
Virtualization for example becomes more and more important as the computing power increases while the costs fall (Moore’s Law). Hybrid architectures became a proven practice as enterprise data nowadays is not only structured, but also semi- or unstructured which is first loaded in raw format and then explored and integrated by applying schema on read.
Real-time data was and is a current topic to talk about. Data is generated more and more frequently, in a bigger volume and in complex structures. Managed Self-Service BI and business rule engines to really enable this self-service.
You have questions, we have solutions…
- Do virtualization engines enable my organization to completely virtualize numerous layers on top of NoSQL databases within a Big Data scenario while still maintaining performance levels? Further, how can Data Vault be an accelerator within this process?
- How can my organization comply with the growing amount and complexity of real-time data streams within industry 4.0?
- When does virtualization make sense and to what extent will it find a place within my organization?
- NoSQL or traditional RDBMS? Perhaps, both?
- Should my organization utilize Data Warehouse or Data Lake? Why?
September 7 to 11, 2020
5 days packed with Data Warehouse Architecture and Modeling, Data Virtualization, IoT/Real-Time Data Streaming and all about Big Data and BI. 2 days of hands-on sessions.
- Big Data customer case stories/studies based upon real-life implementations and successes from around the world
- QA – Testing best practices and automated testing
- Business rules & Business Data Vault
- Virtual Data Vault in a Data Lake
- Finding Business Keys in ML/Deep Learning
- Data Lake Drainage – and why we still need Data Vaults
- Processing Images, Video, Audio for Data Vault Enrichment
- One-Day Sprint Cycles – Rapid Build Out
- Automation, and generation – best practices and practical advice
Crowne Plaza Hannover Schweizerhof
HANDS ON SESSIONS
Coming soon …