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.

Watch 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.

In this session you will learn:

• The Fundamentals of a Data Lakehouse
• Data Lake vs Data 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