AWS Big Data Blog

Category: Analytics

Collect and distribute high-resolution crypto market data with ECS, S3, Athena, Lambda, and AWS Data Exchange

This is a guest post by Floating Point Group. In their own words, “Floating Point Group is on a mission to bring institutional-grade trading services to the world of cryptocurrency.” The need and demand for financial infrastructure designed specifically for trading digital assets may not be obvious. There’s a rather pervasive narrative that these coins […]

Under the hood: Scaling your Kinesis data streams

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 […]

ETL and ELT design patterns for modern data architecture using Amazon Redshift: Part 2

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, […]

ETL and ELT design patterns for lake house 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, […]

Matching patient records with the AWS Lake Formation FindMatches transform

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 […]

Retain more for less with UltraWarm for Amazon OpenSearch Service

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Machine-generated data powers solutions and causes problems. It’s indispensable for identifying operational issues in today’s modern software applications, yet you need flexible, scalable tools like Amazon OpenSearch Service to analyze it in real time. This log data is so valuable […]

Highlight the breadth of your data and analytics technical expertise with new AWS Certification beta

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, […]

Extract, Transform and Load data into S3 data lake using CTAS and INSERT INTO statements in Amazon Athena

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 […]

Connect Amazon Athena to your Apache Hive Metastore and use user-defined functions

Amazon Athena is an interactive query service that makes it easy to analyze data 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. This post details the two new preview features that you can start using today: connecting […]

Prepare data for model-training and invoke machine learning models with Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data 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. Amazon Athena has announced a public preview of a new feature that provides an easy […]