AWS Big Data Blog

Category: Amazon QuickSight

Analyze Amazon Connect records with Amazon Athena, AWS Glue, and Amazon QuickSight

In this blog post, we focus on how to get analytics out of the rich set of data published by Amazon Connect. We make use of an Amazon Connect data stream and create an end-to-end workflow to offer an analytical solution that can be customized based on need.

Read More

Getting started: Training resources for Big Data on AWS

Whether you’ve just signed up for your first AWS account or you’ve been with us for some time, there’s always something new to learn as our services evolve to meet the ever-changing needs of our customers. To help ensure you’re set up for success as you build with AWS, we put together this quick reference guide for Big Data training and resources available here on the AWS site.

Read More

Amazon QuickSight Adds Support for Combo Charts and Row-Level Security

We are excited to announce support for two new features in Amazon QuickSight: 1) Combo charts, the first visual type in QuickSight to support dual-axis visualization, and 2) Row-Level Security, which allows access control over data at the row level based on the user who is accessing QuickSight. Together, these features enable you to present more engaging and personalized dashboards in Amazon QuickSight, while enforcing stricter controls over data.

Read More

Query and Visualize AWS Cost and Usage Data Using Amazon Athena and Amazon QuickSight

If you’ve ever wondered if a serverless alternative existed for consuming and querying your AWS Cost and Usage report data, then wonder no more. The answer is yes, and this post both introduces you to that solution and illustrates the simplicity and effortlessness of deploying it.

Read More

Unite Real-Time and Batch Analytics Using the Big Data Lambda Architecture, Without Servers!

In this post, I show you how you can use AWS services like AWS Glue to build a Lambda Architecture completely without servers. I use a practical demonstration to examine the tight integration between serverless services on AWS and create a robust data processing Lambda Architecture system.

Read More