Category: Analytics

As a large Amazon Web Services (AWS) public sector customer, you might need information about which accounts contributed to this month’s billing surge, which workloads generated the most security findings, or which services experienced the highest adoption rates. Although straightforward in single-account environments, finding such information becomes complex when organizations manage hundreds or thousands of AWS accounts.

In this blog post, we demonstrate how public sector organizations can overcome the challenges that emerge when integrating Amazon Redshift and other AWS relational databases with Amazon Bedrock. You’ll learn how to utilize enterprise data to generate AI-powered analytical insights by using natural language queries through Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases. This custom solution enables seamless connectivity between your structured data sources and generative AI applications, eliminating the need for data duplication and significantly reducing development effort.

This post shares lessons learned by Pariveda, a strategy and technology services firm, during the implementation of a scalable and flexible data integration pipeline for a customer. We review three approaches, all leveraging AWS Glue and Salesforce capabilities, to securely publish data to polymorphic objects and compounded fields.

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. AWS works with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-based techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. Through the AWS Open Data Sponsorship Program, customers are making over 300 PB of high-value, cloud-optimized data available for public use.

In this post, we explore how TalkingPoints partnered with AWS and Ednition to build a real-time, scalable infrastructure that powers more proactive communication between schools and families.

In this post, we explore how Singapore’s Housing & Development Board (HDB) worked with AWS Professional Services to design and build the ARK data lakehouse on AWS, detailing the data strategy, platform architecture, and the benefits realized.

In this post, you’ll see how the nonprofit Bible ministry, Truth For Life, built a cost-optimized viewer analytics pipeline on AWS to gain new insights on their followers and help develop new growth strategies.

Through the AWS Open Data Sponsorship Program, customers are making over 300 PB of high-value, cloud-optimized data available for public use. All publicly available datasets can be found in the Registry of Open Data on AWS and are now also discoverable on Exchange. This quarter, AWS released 66 new or updated datasets. Read this post to learn more.

The post-secondary education sector is about to experience a seismic shift in how it manages data. In a landmark announcement, Amazon Web Services (AWS) and MortarCAPS have revealed a strategic partnership that promises to transform the way that tertiary education institutions handle information, support students, and drive innovation.

The University of Minnesota Athletics Department had access to a lot of data, but lacked a way to bring it together. Even answering simple questions, like how many tickets were sold and who received them, required hours of cross-platform data wrangling. In less than a year, the department replaced that complexity with a scalable data lake built on AWS. The new data architecture—which gives the department full visibility into ticketing transactions and digital behavior—was built by a small internal team, without requiring a complete overhaul of their existing systems.