AWS Big Data Blog

Using Amazon EMR and Hunk for Rapid Response Log Analysis and Review

Patrick Shumate is a Solutions Architect for AWS. Introduction It is fairly common to collect access and application logs but never interactively review them. Monitoring dashboards, coupled with well-instrumented applications, allow operators to manage day-to-day operations without ever digging into the flood of logs silently stored in Amazon S3. That works until the monitoring dashboard […]

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A Zero-Administration Amazon Redshift Database Loader

Ian Meyers is a Solutions Architecture Senior Manager with AWS With this new AWS Lambda function, it’s never been easier to get file data into Amazon Redshift. You simply push files into a variety of locations on Amazon S3 and have them automatically loaded into your Amazon Redshift clusters. Using AWS Lambda with Amazon Redshift […]

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Using IPython Notebook to Analyze Data with Amazon EMR

Manjeet Chayel is a Solutions Architect with AWS IPython Notebook is a web-based interactive environment that lets you combine code, code execution, mathematical functions, rich documentation, plots, and other elements into a single document. In the background, IPython Notebook stores this information as a JSON document. The main advantage of a notebook when compared to […]

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Snakes in the Stream – Feeding and Eating Amazon Kinesis Streams with Python

Markus Schmidberger is a Senior Consultant for AWS Professional Services The Internet of Things (IoT) is becoming increasingly popular, and it’s easy to see why: it generates new business value for your company by connecting all available machines and devices. The big challenge is real-time data processing and analysis. Cloud computing is an excellent way […]

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Using LDAP via AWS Directory Service to Access and Administer Your Hadoop Environment

Erik Swensson is a Solutions Architect with AWS In this post you will learn how to leverage a Lightweight Directory Access Protocol (LDAP) service via AWS Directory Service to authenticate and define permissions for users and administrators of Amazon EMR, Amazon’s hosted Hadoop service. A centralized LDAP repository for authentication and authorization lets you more […]

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Running Apache Accumulo on Amazon EMR

Manjeet Chayel is a Solutions Architect with Amazon Web Services This post was co-authored by Matt Yanchyshyn, a Principal Solutions Architect with Amazon Web Services Apache Accumulo is a sorted, distributed key-value store that is built on top of Apache Hadoop, Zookeeper, and Thrift. Accumulo was originally modeled after Google’s BigTable and can scale to […]

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Getting Started with Elasticsearch and Kibana on Amazon EMR

Hernan Vivani is a Big Data Support Engineer for Amazon Web Services This post shows you how to install Elasticsearch and Kibana on an Amazon EMR cluster and provides a few simple ways to confirm it is working. (Please also see “Indexing Common Crawl Metadata on Amazon EMR Using Cascading and Elasticsearch.”) NOTE: If your goal […]

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Strategies for Reducing Your Amazon EMR Costs

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 […]

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Node.js Streaming MapReduce with Amazon EMR

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 […]

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