Category: Analytics

Apache Spark is an open-source, distributed processing system commonly used for big data workloads. Spark application developers working in Amazon EMR, Amazon SageMaker, and AWS Glue often use third-party Apache Spark connectors that allow them to read and write the data with Amazon Redshift. These third-party connectors are not regularly maintained, supported, or tested with […]

Most AWS analytics services have compelling serverless offerings that make it even easier for customers to analyze vast amounts of data without having to configure, scale, or manage the underlying infrastructure. Along with other serverless analytics, such as Amazon QuickSight for business intelligence and AWS Glue for data integration, we have introduced Amazon EMR Serverless, […]

There are various ways to report on data insights, and paginated reports is one of them. Paginated reports are essential documents that contain critical business information for end-users. For decades, paginated reports have been the standard business reporting format. The following are examples of paginated reports. On the left shows the report for income statement […]

Regular readers of this blog, and AWS customers alike, know the benefits of infrastructure as code (IaC). It allows you to describe your infrastructure using a programming language to consistently deploy your infrastructure to multiple environments or AWS Regions. Other benefits are the possibility to version-control your infrastructure using the same development tools and workflow […]

AWS Glue is a scalable, serverless tool that helps you to accelerate the development and execution of your data integration and ETL workloads. Today we are launching Glue 4.0, with updated engines, support for additional data formats, Ray support, and a lot more. Before I dive in, just a word about versioning. Unlike most AWS […]

With Amazon Redshift, you can analyze data in the cloud at any scale. Amazon Redshift offers native data protection capabilities to protect your data using automatic and manual snapshots. This works great by itself, but when you’re using other AWS services, you have to configure more than one tool to manage your data protection policies. […]

The experience customers have when interacting with a contact center can have a profound impact on them. For this reason, we launched Amazon Transcribe Call Analytics last year to help you analyze customer call recordings and get insights into issues and trends related to customer satisfaction and agent performance. To assist agents in resolving live […]

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! A new week starts, and the News Blog team is getting ready for AWS re:Invent! Many of us will be there next week and it would be great to meet […]