Building and managing the modern datastore: the data lakehouse
Paul Morley
Executive - Group Data Services, Nedbank
James Serra
Data & AI Solution Architect, Microsoft
Debu Sinha
Senior Specialist Solutions Architect, Databricks
Raghu Nandikanti
Data Engineering Leader - Enterprise Data Platform, Red Ventures
Akash Mavle
Principal Data Scientist, Icertis
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Agenda
The 'data lakehouse' is quickly becoming popular in the data analytics community. Data lakehouse architecture combines the benefits of a data warehouse and a data lake. It aims to merge the data warehouse’s data structure and management features along with the flexibility and relatively low cost of the data lake.
Attend this panel discussion to learn how the data lakehouse can address the limitations of the data lake and data warehouse architecture to deliver significant value for organizations. Explore why the data lakehouse is an ideal option for enterprise data storage initiatives.
What you'll learn
The Fundamentals of a Data Lakehouse
Data Lake vs Warehouse vs Data Lakehouse
Why your Data Needs a Data Lakehouse
Building a Data Lakehouse
Key factors for the Successful Implementation of a Data Lakehouse
Managing Data in the Lakehouse
How to Avoid a Data Swamp
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