Category: Advanced (300)

In this post, we show you how the read-replica prewarm feature of Amazon EMR 7.12 improves HBase cluster operations by minimizing the hard cutover constraints that make infrastructure changes challenging. This feature gives you a consistent blue-green deployment pattern that reduces risk and downtime for version upgrades and security patches.

Tipico is the number one name in sports betting in Germany. Every day, we connect millions of fans to the thrill of sport, combining technology, passion, and trust to deliver fast, secure, and exciting betting, both online and in more than a thousand retail shops across Germany. We also bring this experience to Austria, where we proudly operate a strong sports betting business. In this post, we show how Tipico built a unified data transformation platform using Amazon Managed Workflows for Apache Airflow (Amazon MWAA) and AWS Batch.

In this post, we discuss how you can use Amazon Redshift as a knowledge base to provide additional context to your LLM. We share best practices and explain how you can improve the accuracy of responses from the knowledge base by following these best practices.

In this post, we take you through customization options for managing the schedule of your Amazon Redshift maintenance events, along with Amazon Redshift maintenance tracks for optimizing cluster performance. We also walk you through how to set up Amazon Redshift event notifications using Amazon SNS.

Amazon EMR Serverless is a deployment option for Amazon EMR that you can use to run open source big data analytics frameworks such as Apache Spark and Apache Hive without having to configure, manage, or scale clusters and servers. Based on insights from hundreds of customer engagements, in this post, we share the top 10 best practices for optimizing your EMR Serverless workloads for performance, cost, and scalability. Whether you’re getting started with EMR Serverless or looking to fine-tune existing production workloads, these recommendations will help you build efficient, cost-effective data processing pipelines.

In this post, we explore different OpenSearch Service authentication methods and network topology considerations. Then we show how to build an architecture to access an OpenSearch Service domain hosted in a VPC using AWS Client VPN, AWS Transit Gateway, and AWS IAM Identity Center.

In this post, we explore key benefits, technical capabilities, and considerations for getting started with Spark 4.0.1 on Amazon EMR Serverless. With the emr-spark-8.0-preview release label, you can evaluate new SQL capabilities, Python API improvements, and streaming enhancements in your existing EMR Serverless environment.

In this post, we show how to migrate an Oracle data warehouse to Amazon Redshift using Oracle GoldenGate and DMS Schema Conversion, a feature of AWS Database Migration Service (AWS DMS). This approach facilitates minimal business disruption through continuous replication.

Amazon MSK Express brokers are a key component to dynamically scaling clusters to meet demand. Express based clusters deliver 3 times higher throughput, 20 times faster scaling capabilities, and 90% faster broker recovery compared to Amazon MSK Provisioned clusters. In addition, Express brokers support intelligent rebalancing for 180 times faster operation performance, so partitions are automatically and consistently well distributed across brokers. Intelligent rebalancing automatically tracks cluster health and triggers partition redistribution when resource imbalances are detected, maintaining performance across brokers. This post demonstrates how to use the intelligent rebalancing feature and build a custom solution that scales Express based clusters horizontally (adding and removing brokers) dynamically based on Amazon CloudWatch metrics and predefined schedules. The solution provides capacity management while maintaining cluster performance and minimizing overhead.

In this post, we guide you through connecting various analytics tools to Amazon SageMaker Unified Studio using the Athena JDBC driver, enabling seamless access to your subscribed data within your Amazon SageMaker Unified Studio projects.