Category: AWS Lake Formation

This blog post was last reviewed and updated May, 2022 to include AWS Lake Formation resource sharing model. Many AWS customers use a multi-account strategy to host applications for different departments within the same company. However, you might deploy services like Amazon QuickSight using a single-account approach, which raises challenges when you need to use […]

This post is co-written with Mat Sharpe, Technical Lead, AWS & Systems Engineering from Integral Ad Science. Integral Ad Science (IAS) is a global leader in digital media quality. The company’s mission is to be the global benchmark for trust and transparency in digital media quality for the world’s leading brands, publishers, and platforms. IAS […]

The detection and prevention of financial crime continues to be an important priority for banks. Over the past 10 years, the level of activity in financial crimes compliance in financial services has expanded significantly, with regulators around the globe taking scores of enforcement actions and levying $36 billion in fines. Apart from the fines, the […]

This is a guest blog post co-written by Leonardo Pêpe, a Data Engineer at MOIA. MOIA is an independent company of the Volkswagen Group with locations in Berlin and Hamburg, and operates its own ride pooling services in Hamburg and Hanover. The company was founded in 2016 and develops mobility services independently or in partnership […]

Thousands of customers are building petabyte-scale data lakes on AWS. Many of these customers use AWS Lake Formation to easily build and share their data lakes across the organization. As the number of tables and users increase, data stewards and administrators are looking for ways to manage permissions on data lakes easily at scale. Customers […]

Apr 2023: This post was updated with the latest dataset and the updated CloudFormation template. July 2023: This post was reviewed for accuracy. Increasingly, customers are looking at data lakes as a core part of their strategy to democratize data access across the organization. Data lakes enable you to handle petabytes and exabytes of data […]

AWS Lake Formation provides a machine learning (ML) capability (FindMatches transform) to identify duplicate or matching records in your dataset, even when the records don’t have a common unique identifier and no fields match exactly. Customers across many industries have come to rely on this feature for linking datasets like patient records, customer databases, and […]

You can build data lakes with millions of objects on Amazon Simple Storage Service (Amazon S3) and use AWS native analytics and machine learning (ML) services to process, analyze, and extract business insights. You can use a combination of our purpose-built databases and analytics services like Amazon EMR, Amazon OpenSearch Service, and Amazon Redshift as […]

April 2024: This post was reviewed for accuracy.  Organizations of all sizes have recognized that data is one of the key enablers to increase and sustain innovation, and drive value for their customers and business units. They are eagerly modernizing traditional data platforms with cloud-native technologies that are highly scalable, feature-rich, and cost-effective. As you […]

July 2023: This post was reviewed for accuracy. We announced the general availability of AWS Lake Formation transactions, cell-level and row-level security, and acceleration at AWS re: Invent 2021. In this post, we focus on cell-level and row-level security and show you how to enforce business needs by restricting access to specific rows. Effective data […]