AWS Big Data Blog

Matt Yanchyshyn is a Principal Solutions Architect with Amazon Web Services AWS Solutions Architect Leo Zhadanovsky also contributed to this post. Introduction One of the biggest challenges facing companies that want to leverage the scale and elasticity of AWS for analytics is how to move their data into the cloud. It’s increasingly common to have […]

Ian Meyers is a Solutions Architecture Senior Manager with AWS Amazon Kinesis provides a scalable and highly available platform for ingesting data from thousands of clients. Once data is available on a Kinesis stream, you can build applications to process the data using the Kinesis Client Library (KCL). KCL provides a framework for managing many […]

NOTE: Amazon Kinesis Data Firehose is a fully managed service for delivering real-time streaming data to Amazon Redshift. For more information, please visit the Amazon Kinesis Data Firehose documentation page, “Choosing Amazon Redshift for Your Destination.” February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New […]

Nate Wiger is Principal Gaming Solutions Architect for AWS. Dave Lang, Senior Product Manager for Amazon DynamoDB, also contributed to this article. Amazon DynamoDB is rapidly becoming the go-to database for many of the fastest-growing games in the world. Games like Fruit Ninja (from Halfbrick Studios) and Battle Camp (from PennyPop) have leveraged Amazon DynamoDB’s […]

This is a guest post by Andrew Musselman, who as chief data scientist leads the global big data practice from the technical side at Accenture. He is a PMC member on the Apache Mahout project and is writing a book on data science for O’Reilly. Accenture is an APN Big Data Competency Partner. This post […]