Category: Analytics

Amazon EMR allows you to quickly and cost-effectively process vast amounts of data. Since the 2009 launch, we have added many new features and support for an ever-increasing roster of applications from the Hadoop ecosystem. Here are a few of the additions that we have made this year: April – Support for Apache HBase 1.2 […]

Apache HBase is a distributed, scalable big data store designed to support tables with billions of rows and millions of columns. HBase runs on top of Hadoop and HDFS and can also be queried using MapReduce, Hive, and Pig jobs. AWS customers use HBase for their ad tech, web analytics, and financial services workloads. They […]

Amazon Kinesis makes streaming data easy in the cloud.The Amazon Kinesis platform is comprised of three distinct services: Kinesis Streams allows developers to build their own stream processing applications; Kinesis Firehose simplifies the process of loading streaming data into AWS for storage and analytics; Kinesis Analytics supports the analysis of streaming data using standard SQL […]

My colleague Ray Zhu wrote the guest post below to introduce you to some new data preprocessing features for the Amazon Kinesis Agent. — Jeff; Amazon Kinesis Agent is a stand-alone Java software application that provides an easy and reliable way to send data to Amazon Kinesis Streams and Amazon Kinesis Firehose. The agent monitors […]

Rob Leidle, Development Manager for Amazon EMR, wrote the guest post below to introduce you to the latest and greatest version! — Jeff; Today we are announcing Amazon EMR release 4.4.0, which adds support for Apache Sqoop (1.4.6) and Apache HCatalog 1.0.0, an upgraded release of Apache Mahout (0.11.1), and upgraded sandbox releases for Presto […]

My colleague Abhishek Sinha wrote the guest post below to tell you about the latest additions to Amazon EMR. — Jeff; Amazon EMR is a service that allows you to use distributed data processing frameworks such as Apache Hadoop, Apache Spark and Presto to process data on a managed cluster of EC2 instances. Newer versions […]

My colleague Jon Fritz wrote the blog post below to introduce you to some new features of Amazon EMR. — Jeff; Today we are announcing Amazon EMR release 4.3.0, which adds support for Apache Hadoop 2.7.1, Apache Spark 1.6.0, Ganglia 3.7.2, and a new sandbox release for Presto (0.130). We have also enhanced our maximizeResourceAllocation […]

My colleague Jon Fritz wrote the guest post below to introduce you to an important new feature for Amazon EMR. — Jeff; Today we are announcing that Amazon EMR now supports launching clusters in Amazon Virtual Private Cloud (VPC) private subnets, allowing you to quickly, cost-effectively, and securely create fully configured clusters with Hadoop ecosystem […]