AWS Big Data Blog

Category: Analytics

Visualizing Real-time, Geotagged Data with Amazon Kinesis

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 […]

Implement a Real-time, Sliding-Window Application Using Amazon Kinesis and Apache Storm

Rahul Bhartia is an AWS Solutions Architect Streams of data are becoming ubiquitous today – clickstreams, log streams, event streams, and more. The need for real-time processing of high-volume data streams is pushing the limits of traditional data processing infrastructures. Building a clickstream monitoring system, for example, where data is in the form of a continuous clickstream rather […]

Building Multi-AZ or Multi-Region Amazon Redshift Clusters

This blog post was last reviewed July, 2022. This post explores customer options for building multi-region or multi-availability zone (AZ) clusters. By default, Amazon Redshift has excellent tools to back up your cluster via snapshot to Amazon Simple Storage Service (Amazon S3). These snapshots can be restored in any AZ in that region or transferred […]

Installing Apache Spark on an Amazon EMR Cluster

Jonathan Fritz is a Senior Product Manager for Amazon EMR ———————– Please note – Amazon EMR now officially supports Spark. For more information about Spark on EMR, visit the Spark on Amazon EMR page or read Intent Media’s guest post on the AWS Big Data Blog about Spark on EMR. ——–————— Over the last five […]

Deploying Cloudera’s Enterprise Data Hub on AWS

Karthik Krishnan is an AWS Solutions Architect UPDATE April 6, 2015: The newest quickstart reference guide supports Cloudera Director 1.1.0. To manage your cluster with Cloudera Director 1.1.0, refer to the updated reference guide.  Apache Hadoop is an open-source software framework to store and process large scale data-sets.  In this post, we discuss the deployment of […]

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. […]