AWS Big Data Blog

For data lake customers who need to discover petabytes of data, AWS Glue crawlers are a popular way to discover and catalog data in the background. This allows users to search and find relevant data from multiple data sources. Many customers also have data in managed operational databases such as MongoDB Atlas and need to […]

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. As the application portfolio grows, customers tend to store data from multiple application and different business functions […]

Every day, Amazon devices process and analyze billions of transactions from global shipping, inventory, capacity, supply, sales, marketing, producers, and customer service teams. This data is used in procuring devices’ inventory to meet Amazon customers’ demands. With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics […]

Amazon EMR provides a managed service to easily run analytics applications using open-source frameworks such as Apache Spark, Hive, Presto, Trino, HBase, and Flink. The Amazon EMR runtime for Spark and Presto includes optimizations that provide over twice the performance improvements compared to open-source Apache Spark and Presto. With Amazon EMR release 6.7, you can […]

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value. Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables […]

At AWS re:Invent 2022, we announced the general availability of two new Amazon QuickSight visuals: small multiples and text boxes. We are excited to add another new visual to QuickSight: radar charts. With radar charts, you can compare two or more items across multiple variables in QuickSight. In this post, we explore radar charts, its […]

We recently announced the general availability of Amazon OpenSearch Serverless , a new option for Amazon OpenSearch Service that makes it easy run large-scale search and analytics workloads without having to configure, manage, or scale OpenSearch clusters. With OpenSearch Serverless, you get the same interactive millisecond response times as OpenSearch Service with the simplicity of […]

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, you will learn how you can use Amazon Kinesis Data Firehose to build a log ingestion pipeline to send VPC flow logs to Amazon OpenSearch Serverless. First, you create […]

In April 2022, Amazon Managed Streaming for Apache Kafka (Amazon MSK) launched an exciting new capability, Amazon MSK Serverless. Amazon MSK is a fully managed service for Apache Kafka that makes it easier for developers to build and run highly available, secure, and scalable applications based on Apache Kafka. With MSK Serverless, developers can run […]

In this post, we analyze the results from our benchmark tests running a TPC-DS application on open-source Apache Spark and then on Amazon EMR 6.9, which comes with an optimized Spark runtime that is compatible with open-source Spark. We walk through a detailed cost analysis and finally provide step-by-step instructions to run the benchmark. With Amazon EMR 6.9.0, you can now run your Apache Spark 3.x applications faster and at lower cost without requiring any changes to your applications. In our performance benchmark tests, derived from TPC-DS performance tests at 3 TB scale, we found the EMR runtime for Apache Spark 3.3.0 provides a 3.5 times (using total runtime) performance improvement on average over open-source Apache Spark 3.3.0.