AWS Big Data Blog

Amazon QuickSight is a fast, cloud-native, serverless, business intelligence service that makes it easy to deliver insights to everyone. QuickSight has carefully designed concepts and features that enable analysis builders, such as QuickSight authors, to design content-rich, interactive, and dynamic dashboards to share with dashboard viewers. As authors build an analysis, QuickSight transforms, filters, and […]

Organizations typically store business and customer data in databases like Amazon Relational Database Service (Amazon RDS) and Amazon Redshift, and often want to enrich this data by integrating with external services. One such enrichment is to add spatial attributes such as location coordinates for an address. With the introduction of Amazon Location Service, you now […]

Amazon Redshift is a data warehouse that can expand to exabyte-scale. Today, tens of thousands of AWS customers (including NTT DOCOMO, Finra, and Johnson & Johnson) use Amazon Redshift to run mission-critical business intelligence dashboards, analyze real-time streaming data, and run predictive analytics jobs. Amazon Redshift powers analytical workloads for Fortune 500 companies, startups, and […]

This is the second post in a multi-part series. We’re excited to shared dozens of new features to automate your schema conversion; preserve your investment in existing scripts, reports, and applications; accelerate query performance; and potentially reduce your overall cost to migrate to Amazon Redshift. Check out the first post Accelerate your data warehouse migration […]

Amazon QuickSight is a scalable, serverless, embeddable, machine learning-powered business intelligence (BI) service built for the cloud. QuickSight lets you easily create and publish interactive BI dashboards that include Machine Learning-powered insights. QuickSight dashboards can be accessed from any device, and seamlessly embedded into your applications, portals, and websites. QuickSight offers several sources for data, […]

When designing multi-tenant streaming ingestion pipelines, there are myriad ways to design and build your streaming solution, each with its own set of trade-offs. The first decision you have to make is the strategy that determines how you choose to physically or logically separate one tenant’s data from another. Sharing compute and storage resources helps […]

Amazon Athena is an interactive query service that makes it easy to analyze data in a data lake using standard SQL. One of the key elements of Athena is that you only pay for the queries you run. This is an attractive feature because there is no hardware to set up, manage, or maintain. You can query Athena […]

Today, the most successful and fastest growing companies are generally data-driven organizations. Taking advantage of data is pivotal to answering many pressing business problems; however, this can prove to be overwhelming and difficult to manage due to data’s increasing diversity, scale, and complexity. One of the most popular technologies that businesses use to overcome these […]

If you use data lakes in Amazon Simple Storage Service (Amazon S3) and use Teradata as your transactional data store, you may need to join the data in your data lake with Teradata in the cloud, Teradata running on Amazon Elastic Compute Cloud (Amazon EC2), or with an on-premises Teradata database, for example to build […]

On July 16, 2021, Amazon Athena upgraded its Apache Hudi integration with new features and support for Hudi’s latest 0.8.0 release. Hudi is an open-source storage management framework that provides incremental data processing primitives for Hadoop-compatible data lakes. This upgraded integration adds the latest community improvements to Hudi along with important new features including snapshot […]