AWS Big Data Blog

Category: Analytics

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 […]

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 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 […]

Hosting Amazon Kinesis Applications on AWS Elastic Beanstalk

Ian Meyers is a Solutions Architecture Senior Manager with AWS Amazon Kinesis provides a scalable and highly available platform for ingesting data from thousands of clients. Once data is available on a Kinesis stream, you can build applications to process the data using the Kinesis Client Library (KCL). KCL provides a framework for managing many […]

Best Practices for Micro-Batch Loading on Amazon Redshift

NOTE: Amazon Kinesis Data Firehose is a fully managed service for delivering real-time streaming data to Amazon Redshift. For more information, please visit the Amazon Kinesis Data Firehose documentation page, “Choosing Amazon Redshift for Your Destination.” February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New […]