Tag: Amazon Quicksight

Amazon QuickSight added support for parameters, on-screen controls, and URL actions earlier this year. In this blog post, we walk through several examples to show how you can use these capabilities within interactive dashboards for your audience.

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.

In this post, I walk through using AWS Glue and AWS Lambda to convert AWS CloudTrail logs from JSON to a query-optimized format dataset in Amazon S3. I then use Amazon Athena and Amazon QuickSight to query and visualize the data.

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.

You can provide access from an Amazon Cognito user pool to Amazon QuickSight with IAM identity federation in a serverless way. This solution uses Amazon API Gateway and AWS Lambda as a backend fronted by a simple web app.

In this post, I show how to build a schema-on-read analytical pipeline, similar to the one used with relational databases, using Amazon Athena. The approach is completely serverless, which allows the analytical platform to scale as more data is stored and processed via the pipeline.

Starting today, QuickSight will allow users to save the contents of a dashboard as an analysis within their account. As the user of a dashboard, this will allow you to create an analysis that contains all visuals from the dashboard.

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.

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.

I’m excited to share information about some new features in Amazon QuickSight. You can now search for datasets, analyses, and dashboards, you can create filter groups with multiple filter conditions that are evaluated together using the OR operation, and you can now use the built-in Amazon S3 analytics connector to visualize your S3 storage access patterns across multiple S3 buckets and configurations within a single Amazon QuickSight dashboard to optimize for cost.