Build & Query Secure S3 Data Lakes with Ahana Cloud and AWS Lake Formation

Build & Query Secure S3 Data Lakes with Ahana Cloud and AWS Lake Formation

AWS Lake Formation is a service that allows data platform users to set up a secure data lake in days. Creating a data lake with Presto and AWS Lake Formation is as simple as defining data sources and what data access and security policies you want to apply. In this talk, Wen will walk through the recently announced AWS Lake Formation and Ahana integration.

Introducing Materialized View in Presto – Rohit Jain, Meta

Introducing Materialized View in Presto – Rohit Jain, Meta

The materialized view is a well-known technique in the data world, it is used to increase the performance and efficiency of queries by precomputing and persisting results. We are announcing materialized view support in the PrestoDB in this talk. Please join us to learn more about it.

Authorizing Presto with AWS Lake Formation – Jalpreet Singh Nanda, Ahana & Roy Hasson, Amazon

Authorizing Presto with AWS Lake Formation – Jalpreet Singh Nanda, Ahana & Roy Hasson, Amazon

AWS Lake Formation is a service that allows data platform users to set up a secure data lake in days. Creating a data lake with Presto and Lake Formation is as simple as defining data sources and what data access and security policies you want to apply. At Ahana and Amazon, engineers are working on Presto and Lake Formation integration to support Authorization on Presto. This means that Presto clusters will be enforce data permissions on user queries against Lake Formation backed data lakes, which is a tightly integrated Lake Formation, AWS Glue, and Amazon S3 data lake stack. In this session we will present high level design, our leanings, future plans and demo how data platform users can use Lake Formation integration to support fine-grained data access controls on Presto.