Category: AWS Big Data

March 2023: You can now use AWS Glue Data Quality to measure and manage the quality of your data. AWS Glue Data Quality is built on DeeQu and it offers a simplified user experience for customers who want to this open-source package. Refer to the blog and documentation for additional details. Many enterprises are migrating their […]

Traditionally, read replicas of relational databases are often used as a data source for non-online transactions of web applications such as reporting, business analysis, ad hoc queries, operational excellence, and customer services. Due to the exponential growth of data volume, it became common practice to replace such read replicas with data warehouses or data lakes […]

Over the last several years, enterprises have accumulated massive amounts of data. Data volumes have increased at an unprecedented rate, exploding from terabytes to petabytes and sometimes exabytes of data. Increasingly, many enterprises are building highly scalable, available, secure, and flexible data lakes on AWS that can handle extremely large datasets. After data lakes are […]

This post is co-written with Madhavan Sriram and Diego Menin from Amazon Transportation Services (ATS). The transportation and logistics industry covers a wide range of services, such as multi-modal transportation, warehousing, fulfillment, freight forwarding, and delivery. At Amazon Transportation Service (ATS), the lifecycle of the shipment is digitally tracked and appended to tens of tracking […]

June 2023: This post was reviewed and updated for accuracy. August 2021: AWS Glue custom blueprints are now generally available. Please visit https://docs.aws.amazon.com/glue/latest/dg/blueprints-overview.html to learn more. Organizations spend significant time developing and maintaining data integration pipelines that hydrate data warehouses, data lakes, and lake houses. As data volume increases, data engineering teams struggle to keep up with […]

This blog post was last reviewed and updated in June 2025. Many AWS customers use a multi-account strategy to host applications for different departments within the same company. However, you might deploy services like Amazon QuickSight using a single-account approach, which raises challenges when you need to use QuickSight in combination with Amazon Athena to […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. MEDHOST has been providing products and services to healthcare facilities of all types and sizes for over 35 years. Today, more than 1,000 healthcare facilities are partnering with MEDHOST and enhancing their […]

May 2022: This post was reviewed for accuracy. In August 2020, we announced the availability of AWS Glue 2.0. AWS Glue 2.0 reduced job startup times by 10x, enabling customers to reali­­ze an average of 45% cost savings on their extract, transform, and load (ETL) jobs. The fast start time allows customers to easily adopt […]

If you use data lakes in Amazon Simple Storage Service (Amazon S3) and use Teradata as your transactional data store, you may need to join the data in your data lake with Teradata in the cloud, Teradata running on Amazon Elastic Compute Cloud (Amazon EC2), or with an on-premises Teradata database, for example to build […]

This post was last reviewed and updated July, 2022 with updates in Athena federation connector. If you use data lakes in Amazon Simple Storage Service (Amazon S3) and use Snowflake as your data warehouse solution, you may need to join your data in your data lake with Snowflake. For example, you may want to build […]