Topic:

Business intelligence is more than fancy reports. It starts with data scattered across many operational systems. Thus, enterprise reporting requires integrating data from those separated data sources to provide information about the organization.

But with ever-increasing data volume, we also experience ever-increasing data shape. While integrating a few hundred source entities was sufficient in many past projects, many projects today have to tackle thousands of source entities, often based on semi-structured JSON or XML data. Or, there is a lack of those who can integrate data: the number of data scientists is growing linearly at best while data shape and volume grow exponentially.

We genuinely believe humans cannot process all the data their peers and machines created. We must tackle as much data processing as possible using scalable artificial intelligence.

Flow.BI is artificial intelligence that automatically integrates independent data sets into an integrated enterprise data model that can be used to define the enterprise data platform or data products in a data mesh.

Speaker:

Silicon Valley-trained data scientist, entrepreneur, advisor, consultant on Big Data and AI. Author of books and articles on leading technology blogs and trainer of several thousand data professionals worldwide. A regular speaker at Big Data conferences.

His vision is to transform the data-driven organization into an AI-driven business while acknowledging that many organizations are still on their data-driven journey.

Co-founder of the Big Data consultancy Scalefree, known for its industry-leading training, research, and widely used open-source packages. In addition, he is a co-founder of Flow.BI, a Data Vault-based GenAI that defines an integrated enterprise data model for corporate data sets. 

Having worked with Microsoft SQL Server since the 2000 version as an application developer, he later transitioned to the business intelligence field. He co-authored “Building a Scalable Data Warehouse with Data Vault 2.0” (with example code for Microsoft SQL Server 2014) and “Data Vault 2.0 Warehouse Automation on Azure” on the “Analytics on Azure Blog” (Microsoft TechCommunity).

Links:

https://www.meetup.com/dba-fundamentals-group/events/306650724