Category: AWS Glue

This post offers a solution for monitoring and analyzing QuickSight datasets by providing valuable insights for efficient QuickSight usage and maintenance using a custom QuickSight dashboard. The solution provides a comprehensive view of SPICE ingestion status and type, SPICE usage metrics along with total capacity limit for the account, dataset relationships with dashboards, analyses, and linked data sources along with dataset query mode.

We’ve heard from customers that analyzing user activity and understanding usage patterns has been challenging. Common questions include “How many Reader Pro licenses have we added in the last 90 days?” and “What’s our actual session consumption pattern?” To address these needs, we’re excited to share a solution that makes it easier than ever to gain insights into your QuickSight usage and make data-driven decisions about your BI implementation.

In this post, we explore how to create a simple serverless architecture using AWS Lambda, Amazon Athena, and QuickSight to establish column level lineage. Tracking column-level lineage provides a clear view of each column’s path through different parts of QuickSight, helping to optimize data processing, improve query performance, ensure accuracy, and meet regulatory requirements.

This post is co-written with Olivia Michele and Dariswan Janweri P. at Ruparupa. In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue, Apache Hudi, and Amazon QuickSight. We also discuss the benefits Ruparupa gained after the […]

This is a guest post co-authored by Mahesh Vandi Chalil, Chief Technology Officer of BookMyShow. BookMyShow (BMS), a leading entertainment company in India, provides an online ticketing platform for movies, plays, concerts, and sporting events. Selling up to 200 million tickets on an annual run rate basis (pre-COVID) to customers in India, Sri Lanka, Singapore, […]