Tag: Apache HBase

In this post, we dive deep into the new HAQM EMR WAL feature to help you understand how it works, how it enhances durability, and why it’s needed. We explore several scenarios that are well-suited for this feature.

Apache HBase is a massively scalable, distributed big data store in the Apache Hadoop ecosystem. We can use HAQM EMR with HBase on top of HAQM Simple Storage Service (HAQM S3) for random, strictly consistent real-time access for tables with Apache Kylin. This post demonstrates how to gracefully decommission target region servers programmatically.

Many customers have taken advantage of the numerous benefits of running Apache HBase on HAQM S3 for data storage, including lower costs, data durability, and easier scalability. Customers such as FINRA have lowered their costs by 60% by moving to an HBase on S3 architecture along with the numerous operational benefits that come with decoupling […]

Starting with HAQM EMR 5.2.0, you have the option to run Apache HBase on HAQM S3. Running HBase on S3 gives you several added benefits, including lower costs, data durability, and easier scalability. HBase provides several options that you can use to migrate and back up HBase tables. The steps to migrate to HBase on […]

John Hitchingham is Director of Performance Engineering at FINRA The Financial Industry Regulatory Authority (FINRA) is a private sector regulator responsible for analyzing 99% of the equities and 65% of the option activity in the US. In order to look for fraud, market manipulation, insider trading, and abuse, FINRA’s technology group has developed a robust […]

With today’s launch of HAQM EMR release 4.7, you can now create clusters with Apache Phoenix 4.7.0 for low-latency SQL and OLTP workloads. Phoenix uses Apache HBase as its backing store (HBase 1.2.1 is included on HAQM EMR release 4.7.0), using HBase scan operations and coprocessors for fast performance. Additionally, you can map Phoenix tables […]