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Thursday 4th February 2021 – 12.00pm GMT | 01.00pm CET

During periods of change, Business Analysts in the Financial Services industry are often required to analyse the impact of new circumstances, which involves the modelling of as much realistic data as possible. This frequently entails working with extracts of data from existing systems, which can have multiple drawbacks. Sometimes the data is incomplete, static and unstructured, extracts may be old or miss key test cases, and manipulation and analysis of large and dynamic data sets may not be possible.

To tackle these issues, Business Analysts can benefit from implementing the Lakehouse, a new architecture that combines the best elements of data warehouses and data lakes.

In this webinar, you will learn how the Lakehouse paradigm :

  • Allows Business Analysts to work collaboratively with developers using full data sets to analyse data in both real time and with snapshots
  • Speeds up the analysis of new circumstances or changes in legacy processes and systems
  • Facilitates the quick adoption and analysis of new data sources, enabling businesses to adapt in an agile manner


12.00pm – 12.05pm – Welcome and introduction
12.05pm – 12.25pm – How Lakehouse solves current challenges and limitations
12.25pm – 1.05pm – Demo
1.05pm – 1.15pm – Q&A


Junta Nakai
Global Industry Leader Financial Services, Databricks

Brian McConnell
Solutions Architect for Financial Services, Databricks