Category: AWS Big Data

Leading technology companies, such as Netflix and Airbnb, are building on AWS to solve problems on the edge of the data ecosystem. While these companies show us what data and analytics make possible, the complexity and scale of their problems aren’t typical. Most of our challenges aren’t figuring out how to process billions of records […]

At re:Invent 2018, we announced the preview of ML Insights, a set of out-of-the-box machine learning and natural language features that provide Amazon QuickSight users with business insights beyond visualization. Today, we are announcing the general availability of ML Insights. As the volume of data that customers generate continues to grow every day, it’s becoming […]

In this blog post, we are going to focus on cost-optimizing and efficiently running Spark applications on Amazon EMR by using Spot Instances. We recommend several best practices to increase the fault tolerance of your Spark applications and use Spot Instances. These work without compromising availability or having a large impact on performance or the length of your jobs.

This post shows a step-by-step walkthrough of how to set up a cross-account Amazon Redshift COPY and Spectrum query using a sample dataset in Amazon S3. The sample dataset is encrypted at rest using AWS KMS-managed keys (SSE-KMS). About AWS Key Management Service (AWS KMS) With AWS Key Management Service (AWS KMS), you can have […]

November 2024: This post was reviewed and updated for accuracy. The EMRFS S3-optimized committer is a new output committer available for use with Apache Spark jobs as of Amazon EMR 5.19.0. This committer improves performance when writing Apache Parquet files to Amazon S3 using the EMR File System (EMRFS). In this post, we run a performance […]

This blog post provides an overview of the issues with how open-source Spark handles node loss and the improvements in Amazon EMR to address the issues.

Climate Change continues to have a profound effect on our quality of life. As a result, the investigation into sustainability is growing. Researchers in both the public and private sector are planning for the future by studying recorded climate history and using climate forecast models. To help explain these concepts, this post introduces the Global […]

April 2024: The content of this post is no longer relevant and deprecated. August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Clickstream events are small pieces of data that are generated continuously with high speed […]

This blog post was last reviewed and updated April, 2022. The code repositories used in this blog have been reviewed and updated to fix the solution With the ever-evolving and growing role of data in today’s world, data governance is an essential aspect of effective data management. Many organizations use a data lake as a […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. In this post, we talk about designing a cloud-native data warehouse as a replacement for our legacy data warehouse built on a relational database. At the beginning of the design process, the […]