AWS Big Data Blog
Author: Gagan Brahmi
Achieve low-latency data processing with Amazon EMR on AWS Local Zones
By deploying Amazon EMR on AWS Local Zones, organizations can achieve single-digit millisecond latency data processing for applications while maintaining data residency compliance. This post demonstrates how to use AWS Local Zones to deploy EMR clusters closer to your users, enabling millisecond-level response times.
Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark
Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Apache Spark enables you to build applications in a variety […]
Automating DBA tasks on Amazon Redshift securely using AWS IAM, AWS Lambda, Amazon EventBridge, and stored procedures
As a data warehouse administrator or data engineer, you may need to perform maintenance tasks and activities or perform some level of custom monitoring on a regular basis. You can combine these activities inside a stored procedure or invoke views to get details. Some of these activities include things like loading nightly staging tables, invoking […]