Category: Analytics*

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, […]

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 , 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 […]

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. […]

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 […]

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, […]

Many of the things that I blog about lately seem to involve interesting combinations of two or more AWS services and today’s post is no exception. Before I dig in, I’d like to briefly introduce all of the services that I plan to name-drop later in this post. Some of this will be review material, […]

My colleague Jon Fritz wrote the guest post below to introduce a powerful new feature for . We updated it on May 16, 2017 in order to describe some new console features and to account for the availability of Spark 2.0. — Jeff; I’m happy to announce that Amazon EMR now supports Apache Spark. Amazon […]

is a managed service designed to handle real-time streaming of big data. It can accept any amount of data, from any number of sources, scaling up and down as needed (see my introductory post for more information on Kinesis). Developers can use the Kinesis Client Library (KCL) to simplify the implementation of apps that consume […]

makes it easy for you to save user data such as app preferences in the AWS Cloud without writing any backend logic or managing any infrastructure. You can focus on creating a great app instead of worrying about creating server-side code to handle identity management, network state, storage, and sync. Today we are giving you […]