AWS Big Data Blog
Call for Papers! DEEM: 1st Workshop on Data Management for End-to-End Machine Learning
Amazon and Matroid will hold the first workshop on Data Management for End-to-End Machine Learning (DEEM) on May 14th, 2017 in conjunction with the premier systems conference SIGMOD/PODS 2017 in Raleigh, North Carolina. For more details about the workshop focus, see Challenges and opportunities in machine learning below. DEEM brings together researchers and practitioners at […]
Read MoreCreate a Healthcare Data Hub with AWS and Mirth Connect
As anyone visiting their doctor may have noticed, gone are the days of physicians recording their notes on paper. Physicians are more likely to enter the exam room with a laptop than with paper and pen. This change is the byproduct of efforts to improve patient outcomes, increase efficiency, and drive population health. Pushing for […]
Read MoreDecreasing Game Churn: How Upopa used ironSource Atom and Amazon ML to Engage Users
This is a guest post by Tom Talpir, Software Developer at ironSource. ironSource is as an Advanced AWS Partner Network (APN) Technology Partner and an AWS Big Data Competency Partner. Ever wondered what it takes to keep a user from leaving your game or application after all the hard work you put in? Wouldn’t it be great […]
Read MoreMonth in Review: December 2016
Another month of big data solutions on the Big Data Blog. Take a look at our summaries below and learn, comment, and share. Thank you for reading! Implementing Authorization and Auditing using Apache Ranger on Amazon EMR Apache Ranger is a framework to enable, monitor, and manage comprehensive data security across the Hadoop platform. Features […]
Read MorePowering Amazon Redshift Analytics with Apache Spark and Amazon Machine Learning
Air travel can be stressful due to the many factors that are simply out of airline passengers’ control. As passengers, we want to minimize this stress as much as we can. We can do this by using past data to make predictions about how likely a flight will be delayed based on the time of […]
Read MoreServing Real-Time Machine Learning Predictions on Amazon EMR
The typical progression for creating and using a trained model for recommendations falls into two general areas: training the model and hosting the model. Model training has become a well-known standard practice. We want to highlight one of many ways to host those recommendations (for example, see the Analyzing Genomics Data at Scale using R, […]
Read MoreDerive Insights from IoT in Minutes using AWS IoT, Amazon Kinesis Firehose, Amazon Athena, and Amazon QuickSight
Ben Snively is a Solutions Architect with AWS Speed and agility are essential with today’s analytics tools. The quicker you can get from idea to first results, the more you can experiment and innovate with your data, perform ad-hoc analysis, and drive answers to new business questions. Serverless architectures help in this respect by taking […]
Read MoreRun Jupyter Notebook and JupyterHub on Amazon EMR
NOTE: Please note that as of EMR 5.14.0, JupyterHub is an officially supported application. We recommend you use the most recent version of EMR if you would like to run JupyterHub on EMR. In addition, EMR Notebooks allow you to create and open Jupyter notebooks with the Amazon EMR console. We will not provide any […]
Read MoreRespond to State Changes on Amazon EMR Clusters with Amazon CloudWatch Events
Jonathan Fritz is a Senior Product Manager for Amazon EMR Customers can take advantage of the Amazon EMR API to create and terminate EMR clusters, scale clusters using Auto Scaling or manual resizing, and submit and run Apache Spark, Apache Hive, or Apache Pig workloads. These decisions are often triggered from cluster state-related information. Previously, […]
Read MoreBuilding an Event-Based Analytics Pipeline for Amazon Game Studios’ Breakaway
All software developers strive to build products that are functional, robust, and bug-free, but video game developers have an extra challenge: they must also create a product that entertains. When designing a game, developers must consider how the various elements—such as characters, story, environment, and mechanics—will fit together and, more importantly, how players will interact […]
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