AWS Big Data Blog

Join and RSVP! AWS Speaker Christopher Crosbie, Healthcare and Life Sciences Partner Solutions Architect for Amazon Web Services For a long time, R users have sliced and diced their computational problems into smaller pieces to be able to run it in smaller chunks. But what if you want to compute on a huge dataframe with […]

This is a guest post by Richard Freeman, Ph.D., a solutions architect and data scientist at JustGiving. JustGiving in their own words: “We are one of the world’s largest social platforms for giving that’s helped 26.1 million registered users in 196 countries raise $3.8 billion for over 27,000 good causes.” Introduction As more devices, sensors […]

Partners are a vital part of the AWS ecosystem, and AWS Partners have made important contributions to the AWS Big Data Blog. This month’s Partner Post Spotlight is on Attunity, who co-authored the post “Using Attunity CloudBeam at UMUC to Replicate Data to Amazon RDS and Amazon Redshift.” Their post explains how UMUC used Attunity […]

Jorge A. Lopez is responsible for Big Data Solutions Marketing at AWS The big data ecosystem is evolving at a tremendous pace, giving rise to a plethora of tools, use cases, and applications. The new AWS Big Data website is now the ideal starting point to learn about new and existing capabilities, and the services […]

Manjeet Chayel is a Solutions Architect with AWS Every day, tons of customer data is generated, such as website logs, gaming data, advertising data, and streaming videos. Many companies capture this information as it’s generated and process it in real time to understand their customers. Amazon DynamoDB is a fast and flexible NoSQL database service […]

Lots for big data enthusiasts in February on the AWS Big Data Blog. Take a look! Submitting User Applications with spark-submit Learn how to set spark-submit flags to control the memory and compute resources available to your application submitted to Spark running on EMR. Learn when to use the maximizeResourceAllocation configuration option and dynamic allocation […]

Rahul Bhartia is a Solutions Architect with AWS Martin Schade, a Solutions Architect with AWS, also contributed to this post. Do you use real-time analytics on AWS to quickly extract value from large volumes of data streams? For example, have you built a recommendation engine on clickstream data to personalize content suggestions in real time […]

February 2023 Update: Console access to the AWS Data Pipeline service will be removed on April 30, 2023. On this date, you will no longer be able to access AWS Data Pipeline though the console. You will continue to have access to AWS Data Pipeline through the command line interface and API. Please note that […]

Join and RSVP! Guest Speaker: Cory Dolphin from Twitter Learn about how Answers, Fabric’s realtime analytics product, which processes billions of events in realtime, using Twitter’s new stream processing engine, Heron. Cory will explain some of the challenges the team faced while scaling Storm, and how Heron has helped them fly faster. Specifically, Cory will describe how Heron’s […]

Ian Meyers is a Solutions Architecture Senior Manager with AWS Last year, we introduced the Amazon Kinesis Producer Library (KPL) to simplify the development of applications that need to send data to Amazon Kinesis Streams. Many customers use aggregation, which allows you to send multiple records to a single Amazon Kinesis Streams record.  Although the […]