Category: Learning Levels

Large-scale HBase deployments on Amazon EMR suffer from unpredictable garbage collection behavior that creates performance bottlenecks for business-critical applications. To solve this problem, Amazon EMR leverages Oracle’s generational ZGC technology from JDK 21 to deliver predictable, sub-millisecond pause times. This post shows you how to configure generational ZGC in Amazon EMR 7.10.0, apply performance tuning methods, and optimize HBase RegionServer garbage collection settings.

ATPCO is the backbone of modern airline retailing, helping airlines and third-party channels deliver the right offers to customers at the right time. ATPCO addressed data governance challenges using Amazon DataZone. SageMaker Unified Studio, built on the same architecture as Amazon DataZone, offers additional capabilities, so users can complete various tasks such as building data pipelines using AWS Glue and Amazon EMR, or conducting analyses using Amazon Athena and Amazon Redshift query editor across diverse datasets, all within a single, unified environment. In this post, we walk you through the challenges ATPCO addresses for their business using SageMaker Unified Studio.

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.

This post demonstrates how Amazon Athena CREATE TABLE AS SELECT (CTAS) simplifies the data transformation process through a practical example: migrating an existing Parquet dataset into Amazon S3 Tables.

In this post, we demonstrate how you can export the JMX metrics for Debezium connector when used with Amazon MSK Connect.

Amazon OpenSearch Service has taken a significant leap forward in scalability and performance with the introduction of support for 1,000-node OpenSearch Service domains capable of handling 500,000 shards with OpenSearch Service version 2.17. This post explains cluster state publication, Remote Publication, and their benefits in improving durability, scalability, and availability.

In this post, we explore a streamlined, configuration-driven approach to orchestrate dbt Core jobs using Amazon Managed Workflows for Apache Airflow (Amazon MWAA) and Cosmos, an open source package. These jobs run transformations on Amazon Redshift. With this setup, teams can collaborate effectively while maintaining data quality, operational efficiency, and observability.

In this post, we show how automatic semantic enrichment removes friction and makes the implementation of semantic search for text data seamless, with step-by-step instructions to enhance your search functionality.

This post demonstrates how to harness OpenSearch Dashboards to analyze logs visually and interactively. With this solution, IT administrators, developers, and DevOps engineers can create custom dashboards to monitor system behavior, detect anomalies early, and troubleshoot issues faster through interactive charts and graphs.

In this post, we address common multi-tenancy challenges and provide actionable solutions for security, tenant isolation, workload management, and cost optimization across diverse healthcare tenants.