Category: AWS Big Data

The annual AWS re:Invent learning conference is an exciting time full of new product and program launches. At the first re:Invent conference in 2012, AWS announced Amazon Redshift. Since then, tens of thousands of customers have started using Amazon Redshift as their cloud data warehouse. In 2019, AWS shared several significant launches and dozens of […]

This is a guest post by Verizon Media Group. At Verizon Media Group (VMG), one of the major problems we faced was the inability to scale out computing capacity in a required amount of time—hardware acquisitions often took months to complete. Scaling and upgrading hardware to accommodate workload changes was not economically viable, and upgrading […]

2019 has been an exciting year for Amazon QuickSight. We onboarded thousands of customers, expanded our global presence to 10 AWS Regions, and launched over 60 features—more than a feature a week! We are inspired by you—our customers, and all that you do with Amazon QuickSight. We are thankful for the time you spend with […]

Redshift Spectrum is a feature of Amazon Redshift that allows you to query data stored on Amazon S3 directly and supports nested data types. This post discusses which use cases can benefit from nested data types, how to use Amazon Redshift Spectrum with nested data types to achieve excellent performance and storage efficiency, and some […]

Real-time delivery of data and insights enables businesses to pivot quickly in response to changes in demand, user engagement, and infrastructure events, among many others. Amazon Kinesis offers a managed service that lets you focus on building your applications, rather than managing infrastructure. Scalability is provided out-of-the-box, allowing you to ingest and process gigabytes of […]

New: Read Amazon Redshift continues its price-performance leadership to learn what analytic workload trends we’re seeing from Amazon Redshift customers, new capabilities we have launched to improve Redshift’s price-performance, and the results from the latest benchmarks. Part 1 of this multi-post series, ETL and ELT design patterns for modern data architecture using Amazon Redshift: Part 1, […]

New: Read Amazon Redshift continues its price-performance leadership to learn what analytic workload trends we’re seeing from Amazon Redshift customers, new capabilities we have launched to improve Redshift’s price-performance, and the results from the latest benchmarks. Part 1 of this multi-post series discusses design best practices for building scalable ETL (extract, transform, load) and ELT (extract, […]

Patient matching is a major obstacle in achieving healthcare interoperability. Mismatched patient records and inability to retrieve patient history can cause significant barriers to informed clinical decision-making and result in missed diagnoses or delayed treatments. Additionally, healthcare providers often invest in patient data deduplication, especially when the number of patient records is growing rapidly in […]

AWS offers the broadest set of analytic tools and engines that analyzes data using open formats and open standards. To validate expertise with AWS data analytics solutions, builders can now take the beta for the AWS Certified Data Analytics — Specialty certification. The AWS Certified Data Analytics — Specialty certification validates technical expertise with designing, […]

April 2024: This post was reviewed for accuracy. Amazon Athena is an interactive query service that makes it easy to analyze the data stored in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. You can reduce your per-query […]