Plan, Design and Build a Successful Data Lake on AWS

Data lakes are a popular approach for organizations to break down data silos and make data accessible to their users in a secure manner. There are also numerous ways a company can build a data lake to fit their business needs. However, there are just as many ways to fail. In this session, you will learn from the journey of others how to best plan, design and build a successful data lake that will scale and evolve as your business needs and demands increase.

Topics Covered

AWS Glue
Subsurface S3 Integration Guide

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Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse

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Dremio Upgrade Testing Framework

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Operating Dremio Cloud Runbook

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