AWS Big Data Blog

Top 10 Performance Tuning Techniques for Amazon Redshift

Ian Meyers is a Solutions Architecture Senior Manager with AWS Zach Christopherson, an Amazon Redshift Database Engineer, contributed to this post Amazon Redshift is a fully managed, petabyte scale, massively parallel data warehouse that offers simple operations and high performance. Customers use Amazon Redshift for everything from accelerating existing database environments that are struggling to […]

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Big Data AWS Training Course Gets Big Update

Michael Stroh is Communications Manager for AWS Training & Certification AWS offers a number of in-depth technical training courses, which we’re regularly updating in response to student feedback and changes to the AWS platform. Today I want to tell you about some exciting changes to Big Data on AWS, our most comprehensive training course on […]

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Building a Near Real-Time Discovery Platform with AWS

Assaf Mentzer is a Senior Consultant for AWS Professional Services In the spirit of the U.S presidential election of 2016, in this post I use Twitter public streams to analyze the candidates’ performance, both Republican and Democrat, in a near real-time fashion. I show you how to integrate AWS managed services—Amazon Kinesis Firehose, AWS Lambda […]

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Building a Recommendation Engine with Spark ML on Amazon EMR using Zeppelin

Guy Ernest is a Solutions Architect with AWS Many developers want to implement the famous Amazon model that was used to power the “People who bought this also bought these items” feature on Amazon.com. This model is based on a method called Collaborative Filtering. It takes items such as movies, books, and products that were […]

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Integrating Splunk with Amazon Kinesis Streams

Prahlad Rao is a Solutions Architect wih AWS It is important to not only be able to stream and ingest terabytes of data at scale, but to quickly get insights and visualize data using available tools and technologies. The Amazon Kinesis platform of managed services enables continuous capture and stores terabytes of data per hour from […]

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Using AWS Lambda for Event-driven Data Processing Pipelines

awVadim Astakhov is a Solutions Architect with AWS Some big data customers want to analyze new data in response to a specific event, and they might already have well-defined pipelines to perform batch processing, orchestrated by AWS Data Pipeline. One example of event-triggered pipelines is when data analysts must analyze data as soon as it […]

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