AWS Big Data Blog
Using Attunity CloudBeam at UMUC to Replicate Data to Amazon RDS and Amazon Redshift
Matt Yanchyshyn is a Principal Solutions Architect at AWS. Brad Helicher, Director of Cloud Business at Attunity, also contributed to this post. Attunity is an APN Big Data Competency Partner. Introduction University of Maryland University College’s mission is to provide a quality education at an affordable cost to busy professionals, mainly adults who are juggling […]
Ensuring Consistency When Using Amazon S3 and Amazon Elastic MapReduce for ETL Workflows
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 […]
Statistical Analysis with Open-Source R and RStudio on Amazon EMR
Markus Schmidberger is a Senior Big Data Consultant for AWS Professional Services Big Data is on every CIO’s mind. It is synonymous with technologies like Hadoop and the ‘NoSQL’ class of databases. Another technology shaking things up in Big Data is R. This blog post describes how to set up R, RHadoop packages and RStudio […]
Using Amazon EMR with SQL Workbench and other BI Tools
This is a guest post by Kyle Porter, a Sales Engineer at Simba Technologies. Jon Einkauf, a Senior Product Manager for Amazon Elastic MapReduce and AWS Senior Technical Writer Jeff Slone also contributed to this post. —————- Note: Ports have changed on EMR 4.x,. Before walking through this post, please consult the EMR documentation to […]
Using Amazon EMR and Tableau to Analyze and Visualize Data
Rahul Bhartia is an AWS Solutions Architect Introduction Hadoop provides a great ecosystem of tools for extracting value from data in various formats and sizes. Originally focused on large-batch processing with tools like MapReduce, Pig and Hive, Hadoop now provides many tools for running interactive queries on your data, such as Impala, Drill, and Presto. […]
Using Amazon Redshift to Analyze Your Elastic Load Balancer Traffic Logs
Biff Gaut is a Solutions Architect with AWS Introduction With the introduction of Elastic Load Balancing (ELB) access logs, administrators have a tremendous amount of data describing all traffic through their ELB. While Amazon Elastic MapReduce (Amazon EMR) and some partner tools are excellent solutions for ongoing, extensive analysis of this traffic, they can require […]
Getting Started with Amazon EMR Bootstrap Actions
Steve McPherson is a Senior Manager for Amazon Elastic MapReduce Note: This post was updated 2/8/16. The Presto bootstrap action documented in the original post has been deprecated because EMR now offers a Presto-Sandbox as a full-fledged EMR application. For details, see the EMR sandbox. Amazon Elastic MapReduce (EMR) is a fully managed Hadoop-as-a-service platform […]
Using AWS for Multi-instance, Multi-part Uploads
James Saull is a Principal Solutions Architect with AWS There are many advantages to using multi-part, multi-instance uploads for large files. First, the throughput is improved because you can upload parts in parallel. Amazon Simple Storage Service (Amazon S3) can store files up to 5TB, yet a single machine with a 1Gbps interface would take […]
Moving Big Data Into the Cloud using Signiant Flight
Matt Yanchyshyn is a Principal Solutions Architect with Amazon Web Services Introduction In the first two parts of this series we discussed two popular products–out of many possible solutions–for moving big data into the cloud: Tsunami UDP and Data Expedition’s ExpeDat S3 Gateway. Today we’ll look at another option that takes a different approach: Signiant […]
Moving Big Data Into The Cloud with ExpeDat Gateway for Amazon S3
Matt Yanchyshyn is a Principal Solutions Architect with Amazon Web Services Introduction A previous blog post (Moving Big Data Into the Cloud with Tsunami UDP) discussed how Tsunami UDP is a fast and easy way to move large amounts of data to and from AWS. Specifically, we showed how you can use it to move […]

