AWS Big Data Blog

Wangechi Doble is a Solutions Architect with AWS Organizations are experiencing a proliferation of data. This data includes logs, sensor data, social media data, and transactional data, and resides in the cloud, on premises, or as high-volume, real-time data feeds. It is increasingly important to analyze this data: stakeholders want information that is timely, accurate, […]

Songzhi Liu is a Professional Services Consultant with AWS You can now launch Presto version 0.119 on Amazon EMR, allowing you to easily spin up a managed EMR cluster with the Presto query engine and run interactive analysis on data stored in Amazon S3. You can integrate with Spot instances, publish logs to an S3 […]

Roy Ben-Alta is a Business Development Manager – Big Data & Analytics If you will be attending re:Invent 2015 in Las Vegas next week, you know that you’ll have many opportunities to learn more about Big Data & Analytics on AWS at the conference–and this year we have over 20 sessions! The following breakout sessions compose this […]

This is a guest post by Sourabh Bajaj, a Software Engineer at Coursera. Coursera in their own words: “Coursera is an online educational startup with over 14 million learners across the globe. We offer more than 1000 courses from over 120 top universities.” At Coursera, we use Amazon Redshift as our primary data warehouse because […]

Ian Meyers is a Solutions Architecture Senior Manager with AWS Amazon DynamoDB is a fast, flexible, and fully managed NoSQL database service that supports both document and key-value store models that need consistent, single-digit millisecond latency at any scale. In this post, we discuss a technique that can be used with DynamoDB to ensure virtually […]

Christopher Crosbie is a Healthcare and Life Science Solutions Architect with Amazon Web Services When your doctor takes out a prescription pad at your yearly checkup, do you ever stop to wonder what goes into her thought process as she decides on which drug to scribble down? We assume that journals of scientific evidence coupled […]

This is a guest post by Pratik Verma, Founder and Chief Product Officer at BlueTalon. Leonid Fedotov, Senior Solution Architect at BlueTalon, also contributed to this post. Amazon Elastic MapReduce (Amazon EMR) makes it easy to quickly and cost-effectively process vast amounts of data in the cloud. EMR gets used for log, financial, fraud, and […]

This is a guest post by Ryan Desmond, Solutions Architect at Concurrent. Concurrent is an AWS Advanced Technology Partner. With Amazon Kinesis developers can quickly store, collate and access large, distributed data streams such as access logs, click streams and IoT data in real-time. The question then becomes, how can we access and leverage this […]

Christopher Crosbie is a Healthcare and Life Science Solutions Architect with Amazon Web Services The article was co-authored by Zeynep Onder, Scientist, Seven Bridges Genomics, an AWS Advanced Technology Partner. “ACTGCTTCGACTCGGGTCCA” That is probably not a coding language readily understood by many reading this blog post, but it is a programming framework that defines all […]

Mike Deck is a Solutions Architect with AWS Amazon S3 is a simple key-based object store whose scalability and low cost make it ideal for storing large datasets. Its design enables S3 to provide excellent performance for storing and retrieving objects based on a known key. Finding objects based on other attributes, however, requires doing […]