AWS Big Data Blog

Category: Amazon QuickSight

How Eightfold AI implemented metadata security in a multi-tenant data analytics environment with Amazon Redshift

This is a guest post co-written with Arun Sudhir from Eightfold AI. Eightfold is transforming the world of work by providing solutions that empower organizations to recruit and retain a diverse global workforce. Eightfold is a leader in AI products for enterprises to build on their talent’s existing skills. From Talent Acquisition to Talent Management […]

Architecture Diagram

Visualize Amazon DynamoDB insights in Amazon QuickSight using the Amazon Athena DynamoDB connector and AWS Glue

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. DynamoDB offers built-in security, continuous backups, automated multi-Region replication, in-memory caching, and data import and export tools. The scalability and flexible data schema of DynamoDB make it well-suited for a variety of use cases. These include internet-scale […]

BMW Cloud Efficiency Analytics powered by Amazon QuickSight and Amazon Athena

This post is written in collaboration with Philipp Karg and Alex Gutfreund  from BMW Group. Bayerische Motoren Werke AG (BMW) is a motor vehicle manufacturer headquartered in Germany with 149,475 employees worldwide and the profit before tax in the financial year 2022 was € 23.5 billion on revenues amounting to € 142.6 billion. BMW Group is one of the […]

Deploy Amazon QuickSight dashboards to monitor AWS Glue ETL job metrics and set alarms

No matter the industry or level of maturity within AWS, our customers require better visibility into their AWS Glue usage. Better visibility can lend itself to gains in operational efficiency, informed business decisions, and further transparency into your return on investment (ROI) when using the various features available through AWS Glue. As your company grows, […]

How healthcare organizations can analyze and create insights using price transparency data

In recent years, there has been a growing emphasis on price transparency in the healthcare industry. Under the Transparency in Coverage (TCR) rule, hospitals and payors to publish their pricing data in a machine-readable format. With this move, patients can compare prices between different hospitals and make informed healthcare decisions. For more information, refer to […]

Extracting key insights from Amazon S3 access logs with AWS Glue for Ray

This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. We will partition and format the server access logs with Amazon Web Services (AWS) Glue, a serverless data integration service, to generate a catalog for access logs and create dashboards for insights.

Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

We recently announced support for streaming extract, transform, and load (ETL) jobs in AWS Glue version 4.0, a new version of AWS Glue that accelerates data integration workloads in AWS. AWS Glue streaming ETL jobs continuously consume data from streaming sources, clean and transform the data in-flight, and make it available for analysis in seconds. AWS also offers a broad selection of services to support your needs. A database replication service such as AWS Database Migration Service (AWS DMS) can replicate the data from your source systems to Amazon Simple Storage Service (Amazon S3), which commonly hosts the storage layer of the data lake. This post demonstrates how to apply CDC changes from Amazon Relational Database Service (Amazon RDS) or other relational databases to an S3 data lake, with flexibility to denormalize, transform, and enrich the data in near-real time.

Estimating Scope 1 Carbon Footprint with Amazon Athena

Today, more than 400 organizations have signed The Climate Pledge, a commitment to reach net-zero carbon by 2040. Some of the drivers that lead to setting explicit climate goals include customer demand, current and anticipated government relations, employee demand, investor demand, and sustainability as a competitive advantage. AWS customers are increasingly interested in ways to […]

Dimensional modeling in Amazon Redshift

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model. Amazon Redshift […]

Introducing field-based coloring experience for Amazon QuickSight

Color plays a crucial role in visualizations. It conveys meaning, captures attention, and enhances aesthetics. You can quickly grasp important information when key insights and data points pop with color. However, it’s important to use color judiciously to enhance readability and ensure correct interpretation. Color should also be accessible and consistent to enable users to […]