AWS Big Data Blog

Andy Werth

Author: Andy Werth

Month in Review: August 2016

Another month of big data solutions on the Big Data Blog. Take a look at our summaries below and learn, comment, and share. Thanks for reading! Readmission Prediction Through Patient Risk Stratification Using Amazon Machine Learning With this post, learn how to apply advanced analytics concepts like pattern analysis and machine learning to do risk […]

AWS re:Invent 2016 Registration is Now Open

Register now for the fifth annual AWS re:Invent, the largest gathering of the global cloud computing community. Join us in Las Vegas for opportunities to connect, collaborate, and learn about AWS solutions. There will be many opportunities for developers and data scientists working in big data to sharpen their skills and learn what’s coming next […]

Month in Review: June 2016

Lots to see on the Big Data Blog in June! Please take a look at the summaries below for something that catches your interest. Use Sqoop to Transfer Data from Amazon EMR to Amazon RDS Customers commonly process and transform vast amounts of data with EMR and then transfer and store summaries or aggregates of […]

Month in Review: April 2016

Lots to see on the Big Data Blog in April! Please take a look at the summaries below for something that catches your interest. Exploring Geospatial Intelligence using SparkR on Amazon EMR The number of data sources that use location, such as smartphones and sensory devices used in IoT (Internet of things), is expanding rapidly. […]

Sharpen your Skill Set with Apache Spark on the AWS Big Data Blog

The AWS Big Data Blog has a large community of authors who are passionate about Apache Spark and who regularly publish content that helps customers use Spark to build real-world solutions. You’ll see content on a variety of topics, including deep-dives on Spark’s internals, building Spark Streaming applications, creating machine learning pipelines using MLlib, and ways […]

AWS at Strata+Hadoop 2016: Building a Scalable Architecture on AWS to Process Streaming Data

Gone are the days when big data was confined to batch processing.  To remain competitive, companies must be able to analyze real-time data streams in areas such as video streaming, real-time recommendation engines, preventive maintenance, and fraud detection applications. Last month, Siva Raghupathy and Manjeet Chayel presented “Building a scalable architecture for processing streaming data […]

Month in Review: March 2016

March provided another full slate of big data solutions on the AWS Big Data Blog! Take a look at the summaries below for something that catches your interest and share with anyone who’s interested in big data. Will Spark Power the Data behind Precision Medicine? Spark is already known for being a major player in […]