AWS Public Sector Blog
Tag: Data Lake
Grand River Hospital builds data lake on AWS, achieves “seamless business continuity”
In 2019, Grand River Hospital turned to AWS to build the first AWS healthcare data lake in Canada. The data lake was built to house the hospital’s sensitive patient and administrative data while retiring its legacy hospital information systems, comprised of electronic patient record and other administrative systems. Grand River Hospital in Ontario, Canada is a 580-bed community hospital with a yearly operating budget of around $400 million CAD serving a community of 600,000-650,000 people.
How the University of British Columbia uses the cloud to reduce sunflower genomic processing time and research costs with a data lake
The botany department at the University of British Columbia (UBC) and the UBC Data Science Institute are working together to research the evolution and genetic makeup of sunflowers – a critical crop in addressing global food security.
OSU-OKC upskills its workforce and drives real-time decision making with live reporting and analytical modeling
Oklahoma State University in Oklahoma City (OSU-OKC), a two-year, technical-focused college, has historically faced challenges with consistent reporting, database management, and analytics. Technology generalists hired to do these tasks required extensive training to successfully extract data from traditional student information systems, manipulate data for state and federal compliance reporting, and generate limited campus reporting for operational or academic program review and analysis.
Virginia Tech’s experience building modern analytics on Amazon Web Services
Virginia Tech wanted to build a modern data warehouse to complete new requests and quickly answer difficult questions in order to make more informed decisions. To do this, we turned to AWS. We were looking for a way to build forecasting models faster so we could quickly react to changing conditions.
From data silos to data domains – Bringing common data together
Although more customers every day are using AWS to build, run and gain insights from data lakes, the journey to a data lake for many organizations can be one of uncertainty, and a path that may even seem too difficult to attempt. In this blog, we will discuss the challenges organizations can face with siloed data and how data from disparate systems can be brought together using data domains.
Analytics Without Limits: FINRA’s Scalable and Secure Big Data Architecture – Part 2
A guest post by John Brady, CISSP, VP Cyber Security/CISO, Financial Industry Regulatory Authority The Financial Industry Regulatory Authority (FINRA) oversees more than 3,900 securities firms with approximately 640,000 brokers. Every day, we watch over nearly 6 billion shares traded in U.S. equities markets—using technology powerful enough to help detect fraud, abuse and insider trading. In […]
Analytics Without Limits: FINRA’s Scalable and Secure Big Data Architecture – Part 1
A guest post by John Brady, CISSP, VP Cyber Security/CISO, Financial Industry Regulatory Authority The Financial Industry Regulatory Authority (FINRA) oversees more than 3,900 securities firms with approximately 640,000 brokers. Every day, we watch over nearly 6 billion shares traded in U.S. equities markets—using technology powerful enough to help detect fraud, abuse, and insider trading. In […]