Data Modeling in Hadoop

Presented by

Maloy Manna, Engineering, AXA Data Innovation Lab

About this talk

The USP of Hadoop over traditional RDBMS is "Schema on Read". While the flexibility of choices in data organization, storage, compression and formats in Hadoop makes it easy to process data, understanding the impact of these choices on search, performance and usability allows better design patterns. Learning when and how to use schemas and data model evolution due to required changes is key to building data-driven applications. This webinar will explore the various options available and their impact to allow better design choices for data processing and metadata management in Hadoop.

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