A Modern Architecture for Interactive Analytics on AWS Data Lakes
Built upon cost-efficient cloud object stores such as Amazon S3, cloud data lakes benefit from an open and loosely-coupled architecture that minimizes the risk of vendor lock-in as well as the risk of being locked out of future innovation. However, the many benefits of cloud data lakes are negated if data is duplicated into a data warehouse and then again into cubes, BI extracts and aggregation tables.
Because of this, many organizations are now striving to find the right balance between their data warehouse and data lake investments. During this webinar, we'll discuss how to find and best implement that balance for your organization. We'll also provide a live demo that shows how Dremio and AWS Glue make it possible to run BI workloads directly on the S3 data lake.
- Which BI and data science workloads are a better fit for cloud data lakes
- How to ensure your data architecture meets the needs of both your data teams and analysts
- Techniques for accelerating analytics queries on your S3 cloud data lake
- How Dremio and AWS enable you to get maximum value from your cloud data lake
Gabriel Jakobson, Senior Solutions Architect, Dremio
Roy Hasson, Sr. Manager, Business Development - Analytics and Data Lakes, AWS
Stephen Faig, Research Director, Unisphere Research and DBTA