Category: Advanced (300)

Today’s modern data lakes span multiple accounts, AWS Regions, and lines of business in organizations. Companies also have employees and do business across multiple geographic regions and even around the world. It’s important that their data solution gives them the ability to share and access data securely and safely across Regions. The AWS Glue Data […]

We recently announced support for streaming extract, transform, and load (ETL) jobs in AWS Glue version 4.0, a new version of AWS Glue that accelerates data integration workloads in AWS. AWS Glue streaming ETL jobs continuously consume data from streaming sources, clean and transform the data in-flight, and make it available for analysis in seconds. AWS also offers a broad selection of services to support your needs. A database replication service such as AWS Database Migration Service (AWS DMS) can replicate the data from your source systems to Amazon Simple Storage Service (Amazon S3), which commonly hosts the storage layer of the data lake. This post demonstrates how to apply CDC changes from Amazon Relational Database Service (Amazon RDS) or other relational databases to an S3 data lake, with flexibility to denormalize, transform, and enrich the data in near-real time.

Today, more than 400 organizations have signed The Climate Pledge, a commitment to reach net-zero carbon by 2040. Some of the drivers that lead to setting explicit climate goals include customer demand, current and anticipated government relations, employee demand, investor demand, and sustainability as a competitive advantage. AWS customers are increasingly interested in ways to […]

April 2025: This post was reviewed and updated for accuracy. Amazon Kinesis Data Streams is a serverless data streaming service that makes it easy to capture, process, and store streaming data at any scale. As customers collect and stream more types of data, they have asked for simpler, elastic data streams that can handle variable and […]

Data has become an integral part of most companies, and the complexity of data processing is increasing rapidly with the exponential growth in the amount and variety of data. Data engineering teams are faced with the following challenges: Manipulating data to make it consumable by business users Building and improving extract, transform, and load (ETL) […]

Amazon Athena is a serverless, interactive analytics service built on the Trino, PrestoDB, and Apache Spark open-source frameworks. You can use Athena to run SQL queries on petabytes of data stored on Amazon Simple Storage Service (Amazon S3) in widely used formats such as Parquet and open-table formats like Apache Iceberg, Apache Hudi, and Delta […]

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. With the launch of Amazon Redshift Serverless and the various deployment options Amazon Redshift provides (such as instance types and cluster sizes), customers […]

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. Many organizations have a distributed tools and infrastructure across various business units. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture […]

The technology landscape has been evolving rapidly, with waves of change impacting IT from every angle. It is causing a ripple effect across IT organizations and shifting the way IT delivers applications and services. The change factors impacting IT organizations include: The shift from a traditional application model to a services-based application model (SaaS, PaaS) […]

AWS customers are looking for an efficient tracking method of support cases raised with AWS Support across their multiple interconnected accounts. Having a unified view lets the cloud operations team derive actionable insights across the support cases raised by different business units and accounts. This helps ensure that the team has a comprehensive understanding of […]