AWS Big Data Blog

UPDATE, MAY 2019: We have updated the Amazon EC2 Spot pricing model as of November, 2017. The new pricing model simplifies purchasing without bidding and with fewer interruptions. Learn more about the updated pricing model. —————————————————— This is a guest post by Prateek Gupta, a lead engineer at BloomReach BloomReach has built a personalized discovery […]

Ian Meyers is a Solutions Architecture Senior Manager with AWS Introduction Node.js is a JavaScript framework for running high performance server-side applications based upon non-blocking I/O and an asynchronous, event-driven processing model. When customers need to process large volumes of complex data, Node.js offers a runtime that natively supports the JSON data structure. Languages such […]

This is a guest post by K Young, co-founder and CEO of Mortar Data. Mortar Data is an AWS advanced technology partner. UPDATE: MortarData has transitioned into Datadog and has wound down the public Mortar service. The tutorial below no longer works. To learn more about building a recommendation engine on AWS, see Building a […]

Wangechi Doble is an AWS Solutions Architect Introduction Apache HBase is an open-source, column-oriented, distributed NoSQL database that runs on the Apache Hadoop framework. In the AWS Cloud, you can choose to deploy Apache HBase on Amazon Elastic Compute Cloud (Amazon EC2) and manage it yourself or leverage Apache HBase as a managed service on […]

Nick Corbett is a Big Data Consultant for AWS Professional Services Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to process large amounts of data efficiently.  Amazon EMR uses the popular open source framework Apache Hadoop combined with several other AWS products to do such tasks as web indexing, data […]

February 2023 Update: Console access to the AWS Data Pipeline service will be removed on April 30, 2023. On this date, you will no longer be able to access AWS Data Pipeline though the console. You will continue to have access to AWS Data Pipeline through the command line interface and API. Please note that […]

Nick Corbett is a Big Data Consultant for AWS Professional Services Amazon Kinesis is a fully managed service for processing real-time data at massive scale.  Whether you are building a system that collects data from remote sensors, aggregating log files from multiple servers, or creating the latest Internet of Things (IoT) solution, Amazon Kinesis lets […]

Matt Yanchyshyn is a Principal Solutions Architect at AWS I now have a collection of napkins from customer dinners with various AWS technology solutions sketched on them.  This particular napkin is an Amazon DynamoDB schema design for a customer interested in using the new JSON document support to import a bunch of JSON files into […]

Matt Yanchyshyn is a Principal Solutions Architect at AWS During the keynote on Wednesday we announced Amazon RDS for Aurora, a new high-performance and cost-effective relational database.  I heard from multiple AWS re:Invent attendees that they’re really excited about how AWS is innovating in the data storage space, and from a big data perspective it […]

Matt Yanchyshyn is a Principal Solutions Architect at AWS Today hundreds of AWS customers participated in bootcamps at re:Invent, including three sessions in the big data space: Store, Manage, and Analyze Big Data in the Cloud, Real Time Data Processing and Analysis with Amazon Redshift and Amazon Kinesis and Building High-Performance Applications on DynamoDB.  Chris […]