Category: AWS Lake Formation

Data lakes provide a centralized repository that consolidates your data at scale and makes it available for different kinds of analytics. AWS Glue crawlers are a popular way to scan data in a data lake, classify it, extract schema information from it, and store the metadata automatically in the AWS Glue Data Catalog. AWS Lake […]

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value. Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables […]

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. Both services provide reliable data storage, but some customers want replicated storage, catalog, and permissions for compliance purposes. This post explains how to create a […]

With AWS Lake Formation, you can build data lakes with multiple AWS accounts in a variety of ways. For example, you could build a data mesh, implementing a centralized data governance model and decoupling data producers from the central governance. Such data lakes enable the data as an asset paradigm and unleash new possibilities with […]

Novo Nordisk is a leading global pharmaceutical company, responsible for producing life-saving medicines that reach more than 34 million patients each day. They do this following their triple bottom line—that they must strive to be environmentally sustainable, socially sustainable, and financially sustainable. The combination of using AWS and data supports all these targets. Data is […]

AWS Lake Formation makes it easier to centrally govern, secure, and share data for analytics with familiar database-style grant features managed through the Glue Data Catalog. Lake Formation provides a single place to define fine-grained access control on catalog resources. These permissions are granted to the principals by a data lake admin, and integrated engines […]

Today’s global, data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. Amazon Redshift data sharing allows you to securely share live, transactionally consistent data in one Amazon Redshift data warehouse with another Amazon Redshift data warehouse within the same AWS […]

This is a guest post co-written with Ankit Jhalaria from GoDaddy. GoDaddy is empowering everyday entrepreneurs by providing all the help and tools to succeed online. With more than 20 million customers worldwide, GoDaddy is the place people come to name their idea, build a professional website, attract customers, and manage their work. GoDaddy is […]

In this post, we take the data mesh design discussed in Design a data mesh architecture using AWS Lake Formation and AWS Glue, and demonstrate how to initialize data domain accounts to enable managed sharing; we also go through how we can use an event-driven approach to automate processes between the central governance account and […]

Data lakes are a centralized repository for storing structured and unstructured data at scale. Data lakes enable you to create dashboards, perform big data processing and real-time analytics, and create machine learning (ML) models on your data to drive business decisions. Many customers are choosing AWS Lake Formation as their data lake management solution. Lake […]