Category: Analytics

January 2023: This post was reviewed and updated to use version 3 of the settings for AWS Lake Formation, which allows for cross-account grants with AWS Resource Access Manager. Customers are exploring building a data mesh on their AWS platform using AWS Lake Formation and sharing their data lakes across the organization. A data mesh […]

With the shift to value-based care, tapping data to its fullest to improve patient satisfaction tops the priority of healthcare executives everywhere. To achieve this, reliance on key technology relevant to their sphere is a must. This is where data lakes can help. A data lake is an architecture that can assist providers in storing, […]

This post is co-written with Richard Li from SailPoint. SailPoint Technologies is an identity security company based in Austin, TX. Its software as a service (SaaS) solutions support identity governance operations in regulated industries such as healthcare, government, and higher education. SailPoint distinguishes multiple aspects of identity as individual identity security services, including cloud governance, […]

Data lakes, business intelligence, operational analytics, and data warehousing share a common core characteristic—the ability to extract, transform, and load (ETL) data for analytics. Since its launch in 2017, AWS Glue has provided serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS […]

When we first launched Amazon Athena, our mission was to make it simple to query data stored in Amazon Simple Storage Service (Amazon S3). Athena customers found it easy to get started and develop analytics on petabyte-scale data lakes, but told us they needed to join their Amazon S3 data with data stored elsewhere. We […]

dbt has established itself as one of the most popular tools in the modern data stack, and is aiming to bring analytics engineering to everyone. The dbt tool makes it easy to develop and implement complex data processing pipelines, with mostly SQL, and it provides developers with a simple interface to create, test, document, evolve, […]

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards, and share these with tens of thousands of users, either directly within a QuickSight application, or embedded in web apps and portals. QuickSight Enterprise Edition now supports 1-click public embedding, a feature […]

June 2023: This post was reviewed and updated for accuracy. Data created in the cloud is growing fast in recent days, so scalability is a key factor in distributed data processing. Many customers benefit from the scalability of the AWS Glue serverless Spark runtime. Today, we’re pleased to announce the release of AWS Glue Auto […]

In today’s market, business success often lies in the ability to glean accurate insights and predictions from data. However, data scientists and analysts often find that the data they have at their disposal isn’t enough to help them make accurate predictions for their use cases. A variety of factors might alter an outcome and should […]

Many enterprise customers have demanding query throughput requirements for their data warehouses. Some may be able to address these requirements through horizontally or vertically scaling a single cluster. Others may have a short duration where they need extra capacity to handle peaks that can be addressed through Amazon Redshift concurrency scaling. However, enterprises with consistently […]