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This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! A new week starts, and Spring is almost here! If you’re curious about AWS news from the previous seven days, I got you covered. Last Week’s Launches Here are the Read more about AWS Week in Review – March 20, 2023[…]
Happy New Year! As we kick off 2023, I wanted to take a moment to remind you of some 2023 predictions by AWS leaders for you to help prepare for the new year. Five Tech Predictions for 2023 and Beyond by Dr. Wener Vogels, CTO of Amazon.com – Read how these technologies and trends will Read more about Happy New Year! AWS Week in Review – January 9, 2023[…]
With the Graviton Challenge last year, we helped customers migrate to Graviton-based EC2 instances and get up to 40 percent price performance benefit in as little as 4 days. Tens of thousands of customers, including 48 of the top 50 Amazon Elastic Compute Cloud (Amazon EC2) customers, use AWS Graviton processors for their workloads. In Read more about Graviton Fast Start – A New Program to Help Move Your Workloads to AWS Graviton[…]
A few weeks ago, we hosted the first EMEA AWS Heroes Summit in Milan, Italy. This past week, I had the privilege to join the Americas AWS Heroes Summit in Seattle, Washington, USA. Meeting with our community experts is always inspiring and a great opportunity to learn from each other. During the Summit, AWS Heroes Read more about AWS Week In Review – July 25, 2022[…]
This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! I’ve just come back from a long (extended) holiday weekend here in the US and I’m still catching up on all the AWS launches that happened this past week. I’m Read more about AWS Week In Review – June 6, 2022[…]
At AWS re:Invent 2021, we introduced three new serverless options for our data analytics services – Amazon EMR Serverless, Amazon Redshift Serverless, and Amazon MSK Serverless – that make it easier to analyze data at any scale without having to configure, scale, or manage the underlying infrastructure. Today we announce the general availability of Amazon Read more about Amazon EMR Serverless Now Generally Available – Run Big Data Applications without Managing Servers[…]
Last AWS re:Invent, we announced the general availability of Amazon EMR on Amazon Elastic Kubernetes Service (Amazon EKS), a new deployment option for Amazon EMR that allows customers to automate the provisioning and management of Apache Spark on Amazon EKS. With Amazon EMR on EKS, customers can deploy EMR applications on the same Amazon EKS Read more about Customize and Package Dependencies With Your Apache Spark Applications on Amazon EMR on Amazon EKS[…]
Tens of thousands of customers use Amazon EMR to run big data analytics applications on frameworks such as Apache Spark, Hive, HBase, Flink, Hudi, and Presto at scale. EMR automates the provisioning and scaling of these frameworks and optimizes performance with a wide range of EC2 instance types to meet price and performance requirements. Customer Read more about New – Amazon EMR on Amazon Elastic Kubernetes Service (EKS)[…]
AWS Step Functions allows you to add serverless workflow automation to your applications. The steps of your workflow can run anywhere, including in AWS Lambda functions, on Amazon Elastic Compute Cloud (EC2), or on-premises. To simplify building workflows, Step Functions is directly integrated with multiple AWS Services: Amazon ECS, AWS Fargate, Amazon DynamoDB, Amazon Simple Read more about New – Using Step Functions to Orchestrate Amazon EMR workloads[…]
Storing your data in Amazon S3 provides lots of benefits in terms of scale, reliability, and cost effectiveness. On top of that, you can leverage Amazon EMR to process and analyze your data using open source tools like Apache Spark, Hive, and Presto. As powerful as these tools are, it can still be challenging to deal with use cases where Read more about New – Insert, Update, Delete Data on S3 with Amazon EMR and Apache Hudi[…]