Category: Analytics

Guy Ernest is a Solutions Architect with AWS This post builds on Guy’s earlier posts Building a Numeric Regression Model with Amazon Machine Learning and Building a Multi-Class ML Model with Amazon Machine Learning. Many decisions in life are binary, answered either Yes or No. Many business problems also have binary answers. For example: “Is […]

Matt Yanchyshyn is a Sr. Manager for AWS Solutions Architecture AWS offers a number of events during the year such as our annual AWS re:Invent conference, the AWS Summit series, the AWS Pop-up Loft, and a variety of roadshows. All of these provide opportunities for AWS customers to attend talks focused on big data and […]

Hernan Vivani is a Big Data Support Engineer for Amazon Web Services A previous post showed you how to get started with Elasticsearch and Kibana on Amazon EMR. In that post, we installed Elasticsearch and Kibana on an Amazon EMR cluster using bootstrap actions. This post shows you how to build a simple application with […]

Chris Keyser is a Solutions Architect for AWS Many organizations implement star and snowflake schema data warehouse designs and many BI tools are optimized to work with dimensions, facts, and measure groups. Customers have moved data warehouses of all types to Amazon Redshift with great success. The Amazon Redshift team has released support for interleaved […]

Leena Joseph is an SDE for AWS Data Pipeline In an earlier post, we introduced you to ETL processing using AWS Data Pipeline and Amazon EMR. This post shows how to build ETL workflow templates with AWS Data Pipeline, and build a library of recipes to implement common use cases. This is an introduction to […]

Daniel Garrison is a Big Data Support Engineer for Amazon Web Services In Part 1 you learned how Amazon EMR uses Amazon VPC DNS hostname and DHCP settings to satisfy the Hadoop requirements. Because it’s common to change the domain name setting in your DHCP options set to a custom internal domain name, this post […]

This is a guest post by Nate Sammons, a Principal Architect for Nasdaq The Nasdaq group of companies operates financial exchanges around the world and processes large volumes of data every day. We run a wide variety of analytic and surveillance systems, all of which require access to essentially the same data sets. The Nasdaq […]

Manan Gosalia is an SDE for Amazon Kinesis This blog post shows you how to get started with the Amazon Kinesis Client Library (KCL) for Node.js. The Node.js framework uses an event-driven, non-blocking I/O model that makes it lightweight, efficient, and perfect for data-intensive, real-time applications that run across distributed devices. JavaScript is also simple […]

Nick Durkin is a Senior Solution Engineer for DataTorrent. DataTorrent is an AWS Technology Partner. In this blog post, we introduce fast big data and provide context about the DataTorrent RTS streaming analytics platform. In addition, we show you how to implement a real-time, streaming analytics application for capturing social media trends from Twitter using […]

NOTE: This article contains information and instructions only pertinent to older EMR releases (emr-4.6.0 and earlier) and may no longer be applicable.  For latest information please refer to the current user guide. Daniel Garrison is a Big Data Support Engineer for Amazon Web Services Introduction With Amazon EC2 now firmly in the VPC-by-default model, it’s […]