Automating the Open Data Lakehouse Using an Open Intelligent Metastore

The innovative idea of a data lake holding a collection of data assets in their original or raw forms has influenced cloud-based data storage tactics. This is especially true in organizations wanting to empower a variety of data consumers of different levels of technical expertise. However, it is apparent that the absence of governance coupled with limited data awareness has diminished the utility of the data lake.

Speaker

David Loshin
President
Knowledge Integrity

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This webinar focuses on how coupling governance with an intelligent metastore can transform a data lake into a data lakehouse that can support the organization’s data workflows and analytics applications.

Our discussion of open data lakehouse architecture will inform you about:

Semantic tagging for data asset classification
Empowering data collaboration in ways similar to shared developer code repositories
Asserting a semantic layer providing virtual schemas
Versioning of data lake data across time
Data optimizations to automate common data management practices
Improving data democratization while simplifying data utility