Category: Analytics

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 […]

Many of our customers have been asking us for data and tools to allow them to better understand and manage their AWS costs. New Reports Today we are introducing a set of new AWS Cost and Usage Reports that provide you with comprehensive data about products, pricing, and usage. The reports allow you to understand […]

If you attended AWS re:Invent, you were among the first to know about Amazon QuickSight, AWS IoT, Kinesis Firehose, and our other new offerings. Perhaps you had time to attend a session to learn more about the new service or services that were of interest to you. If you didn’t attend re:Invent or missed a […]

Two years ago we introduced Amazon Kinesis, which we now call Amazon Kinesis Streams, to allow you to build applications that collect, process, and analyze streaming data with very high throughput. We don’t want you to have to think about building and running a fleet of ingestion servers or worrying about monitoring, scaling, or reliable […]