July 29, 2020

AWS Data Lake Architectures

Customers today analyze more and more data and are looking to modernize their analytics stack. Data lakes on AWS have become a popular architecture for massive scale analytics and also machine learning. In this session, we will take a look at the general data lake architecture on AWS and dive deep into our newly released analytics service, AWS Lake Formation, which can be used to secure your data lake. As part of this session, we will review some of our customers’ data lake architectures and use cases that are being solved.

Topics Covered

AVRO
AWS Glue
CSV
Dremio Subsurface for Apache Parquet
Dremio Subsurface: Advanced Storage Solutions
Optimized Row Columnar (ORC)
Subsurface S3 Integration Guide
Subsurface: Navigating JSON Data

Speakers

Raghu Prabhu Dremio Author & Contributor

Raghu Prabhu

Raghu Prabhu is a global business development manager for data lakes on AWS, where he’s been for over four years. He helps organizations across all industry verticals around the world build data lakes on AWS that are secure, massively scalable and cost-effective. Before working at AWS, Raghu was the co-founder and CTO of a marketing tech firm where he developed marketing ETL applications and APIs into marketing and CRM products.
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