Category: AWS Lake Formation

This is a guest post written by Dr. Yannick Misteli, lead cloud platform and ML engineering in global product strategy (GPS) at Roche. Recently the Roche Data Insights (RDI) initiative was launched to achieve our vision using new ways of working and collaboration in order to build shared, interoperable data & insights with federated governance. […]

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 […]

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 coming from a multitude of sources in varying formats, and gives users the ability to access it from their choice of analytics and […]

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 (successor to Amazon Elasticsearch […]

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 look to make business decisions driven by data, […]

We announced the general availability of AWS Lake Formation transactions, cell-level and row-level security, and acceleration at AWS re: Invent 2021. In Parts 1 , 2, and 3 of this series, we explained how to set up governed tables, add streaming and batch data to them, and use ACID transactions. In this post, we focus […]