Category: Amazon QuickSight

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. In this post, we talk about designing a cloud-native data warehouse as a replacement for our legacy data warehouse built on a relational database. At the beginning of the design process, the […]

April 2024: This post was reviewed for accuracy. Although structured data remains the backbone for many data platforms, increasingly unstructured or semi-structured data is used to enrich existing information or create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in CSV or Apache Parquet files, data […]

Starting today, you can embed Amazon QuickSight dashboards in your applications. This means you can now quickly and efficiently enhance your applications with advanced interactive data visualizations and analytics capabilities without any custom development.

Amazon QuickSight is a fast, cloud-powered BI service that makes it easy for everyone in an organization to get business insights from their data through rich, interactive dashboards. With pay-per-session pricing and embedded dashboard, we made BI even more cost-effective and accessible to everyone. However, as the volume of data that customers generate continues to […]

Amazon QuickSight recently launched table calculations, which enable you to perform complex calculations on your data to derive meaningful insights. In this blog post, we go through examples of applying these calculations to a sample sales data set so that you can start using these for your own needs. You can find the sample data […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. In part 1 of this series, we demonstrated how to build a data pipeline in support of a data lake. We used key AWS services such as Amazon Kinesis Data Streams, Kinesis […]

In this two-part series, we show you how to build a data pipeline in support of a data lake. We use key AWS services such as Amazon Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and AWS Lambda. In part 2, we focus on generating simple inferences from that data that can support RTP parameters.

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.

Today, we are excited to announce the availability of email reports and data labels in Amazon QuickSight. Email reports With email reports in Amazon QuickSight, you can receive scheduled and one-off reports delivered directly to your email inbox. Using email reports, you have access to the latest information without logging in to your 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.