AWS Big Data Blog

This post demonstrates how to migrate nearly any amount of data from an on-premises Apache Hadoop environment to Amazon Simple Storage Service (Amazon S3) by using S3DistCp on Amazon EMR with AWS Direct Connect. To transfer resources from a target EMR cluster, the traditional Hadoop DistCp must be run on the source cluster to move […]

This post is written in collaboration with Clarisa Tavolieri, Austin Rappeport and Samantha Gignac from Zurich Insurance Group. The growth in volume and number of logging sources has been increasing exponentially over the last few years, and will continue to increase in the coming years. As a result, customers across all industries are facing multiple […]

This post is co-written with Çağrı Çakır and Özge Kavalcı from PostNL. PostNL is the designated universal postal service provider for the Netherlands and has three main business units offering postal delivery, parcel delivery, and logistics solutions for ecommerce and cross-border solutions. With 5,800 retail points, 11,000 mailboxes, and over 900 automated parcel lockers, the […]

A protein is a sequence of amino acids that, when chained together, creates a 3D structure. This 3D structure allows the protein to bind to other structures within the body and initiate changes. This binding is core to the working of many drugs. A common workflow within drug discovery is searching for similar proteins, because […]

Amazon OpenSearch Service introduced the OpenSearch Optimized Instances (OR1), deliver price-performance improvement over existing instances. The newly introduced OR1 instances are ideally tailored for heavy indexing use cases like log analytics and observability workloads. OR1 instances use a local and a remote store. The local storage utilizes either Amazon Elastic Block Store (Amazon EBS) of […]

We are excited to announce a new capability of the AWS Glue Studio visual editor that offers a new visual user experience. Now you can author data preparation transformations and edit them with the AWS Glue Studio visual editor. The AWS Glue Studio visual editor is a graphical interface that enables you to create, run, […]

Today, we are pleased to announce a new capability for the AWS Glue Data Catalog: generating column-level aggregation statistics for Apache Iceberg tables to accelerate queries. These statistics are utilized by cost-based optimizer (CBO) in Amazon Redshift Spectrum, resulting in improved query performance and potential cost savings. Apache Iceberg is an open table format that […]

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that significantly improves security and availability, and reduces infrastructure management overhead when setting up and operating end-to-end data pipelines in the cloud. Today, we are announcing the availability of Apache Airflow version 2.9.2 environments on Amazon MWAA. Apache Airflow […]

In this post, we show you how to get started with Apache XTable on AWS and how you can use it in a batch pipeline orchestrated with Amazon Managed Workflows for Apache Airflow (Amazon MWAA). To understand how XTable and similar solutions work, we start with a high-level background on metadata management in an OTF and then dive deeper into XTable and its usage.

EchoStar, a connectivity company providing television entertainment, wireless communications, and award-winning technology to residential and business customers throughout the US, deployed the first standalone, cloud-native Open RAN 5G network on AWS public cloud. This post provides an overview of real-time data analysis with Amazon Redshift and how EchoStar uses it to ingest hundreds of megabytes per second. As data sources and volumes grew across its network, EchoStar migrated from a single Redshift Serverless workgroup to a multi-warehouse architecture with live data sharing.