The setup # I’m an Apple person. Notes for thinking, Reminders for doing. It’s simple, it syncs everywhere, and it stays out of my way. I’ve used Reminders for years to track what needs to happen and when. But as I started spending more time in AI-powered development environments like Kiro, I noticed a friction point: every time I thought of a task while coding, I had to switch apps to add it to Reminders. Context switch, lose focus, come back, try to remember where I was. The classic productivity killer.

Customers are building large data lakes on Amazon Web Services (AWS) to democratize their access to data. As a result of that, data governance becomes increasingly important. Customers need to know data is accessed at the right time, by the right people, and in the right context. To implement fine-grained data access permissions, customers use AWS Lake Formation. AWS Lake Formation provides data access controls for AWS services like Amazon Redshift, Amazon Athena, and Amazon EMR. It also offers data access controls for AWS Partners like Dremio.

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. In 2022, we talked about the enhancements we had done to these services. We continue to listen to customer stories and work backwards to incorporate their thoughts in our products. In this post, we are happy to summarize the results of our hard work in 2023 to improve and simplify data governance for customers.

Chief data officers, data platform administrators, architects, owners, and consumers are looking to simplify data access permissions and governance. AWS Lake Formation makes it easier to centrally govern, secure, and globally share data for analytics and machine learning use cases. Join this session to learn about new capabilities, customer stories, and how you can get the most out of Lake Formation.

Many organizations have standardized or plan to standardize their unified data security governance on AWS Lake Formation, which provides powerful data access control to Amazon Redshift, Amazon Athena, and Amazon EMR. Some of these organizations are also leveraging Databricks, however, and would like to create and manage data access policies for Databricks using AWS Lake Formation as well. They want to have consistent policy enforcement and monitoring across their AWS services, Databricks, and Amazon Simple Storage Service (Amazon S3). In this post, we will discuss the AWS Lake Formation and Privacera integrated solution that extends AWS Lake Formation source support to Databricks. It provides data access policy authorship and maintenance from one safe and convenient location, AWS Lake Formation.

What’s the point of data if you can’t get your hands on (or mind around) it? In today’s data-driven world, ensuring the security and proper management of sensitive information is paramount. Collibra Protect and AWS Lake Formation offer a powerful combination to address the growing challenges of enterprise data access governance. Collibra Protect, part of the Collibra Data Intelligence Cloud, protects sensitive data and makes it available, or partially available, to specified groups of users. AWS Lake Formation is a fully managed serverless service that allows you to build clean and secure data lakes in days.