AWS News Blog

Category: Analytics

New – Launch Amazon EMR Clusters in Private Subnets

My colleague Jon Fritz wrote the guest post below to introduce you to an important new feature for . — 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 applications, […]

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Learn About the newest AWS Services – Attend our October Webinars

If you attended , 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 session […]

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Amazon Kinesis Firehose – Simple & Highly Scalable Data Ingestion

Two years ago we introduced , 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 delivery. […]

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New – Amazon Elasticsearch Service

Elasticsearch  is a real-time, distributed search and analytics engine that fits nicely into a cloud environment. It is document-oriented and does not require a schema to be defined up-front. It supports structured, unstructured, and time-series queries and serves as a substrate for other applications and visualization tools including Kibana. Today we are launching the new […]

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Amazon EMR Release 4.1.0 – Spark 1.5.0, Hue 3.7.1, HDFS Encryption, Presto, Oozie, Zeppelin, Improved Resizing

My colleagues Jon Fritz and Abhishek Sinha are both Senior Product Managers on the team. They wrote the guest post below to introduce you to the newest release of EMR and to tell you about new EMR cluster resizing functionality. — Jeff; is a managed service that simplifies running and managing distributed data processing frameworks, […]

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