Tag: AWS CodePipeline

In this post, we explore the complexities of data privacy and controls on Amazon Web Services (AWS), examine how creating a landing zone within which to contain such data is important, and highlight the differences between creating a landing zone from scratch compared with using the AWS Landing Zone Accelerator (LZA) for Healthcare. To aid explanation, we use a simple healthcare workload as an example. We also explain how LZA for Healthcare codifies HIPAA controls and AWS Security Best Practices to accelerate the creation of an environment to run protective health information workloads in AWS.

The undergraduate students from the University of New South Wales (UNSW) didn’t just build a race car from scratch—they built a world-record-holding solar electric race car: the Sunswift 7. In three years, they engineered everything from the aerodynamic design to the software used to run the car. After going live with their telemetry system on AWS, the racing team set a new Guinness World Record for the World’s Fastest Electric Vehicle going over 1,000km (621 miles) on a single charge.

McGraw Hill, an AWS Partner, is an education technology (EdTech) and publishing company that provides educational content, software, and services for pre-K through postgraduate education. To meet evolving learner needs, McGraw Hill recently launched the SHARPEN app—a mobile study app that mimics the types of social media content feeds familiar to young learners to foster educational success. Developed in collaboration with the AWS Growth Advisory Team, this dynamic learning experience uses AWS.

Citi Logik is a UK-based government technology (GovTech) company and AWS Partner with Amazon Web Services (AWS). Citi Logik uses AWS to enhance anonymised raw mobile network data (MND) so organisations can identify trends in the flow of people across a variety of different transportation modes. Citi Logik provides their customers, including the West Yorkshire Combined Authority and Wiltshire County Council, with valuable insights to help them make informed decisions about future transportation planning and urban planning development.

At the Baylor College of Medicine Human Genome Sequencing Center (BCM HGSC), we aim to advance precision medicine and research in genomics. In that effort, we joined the ambitious All of Us Research Program funded by the National Institutes of Health (NIH) to help deliver genomic data to over one million individuals across the United States. In early 2019, we estimated that processing whole genome samples for this megaproject would imply a scale-up of over four times the production workload of our center. We used AWS to support our new pipeline demands, which saved time, reduced costs, and created new opportunities for future development.

Forrester estimates that data-driven businesses are growing at an average of more than 30 percent annually. This is also happening at education technology companies. With new data sources have emerging, including real-time streaming data from virtual classrooms, mobile engagement, unique usage, and new learners, these data sources are shaping the next generation of EdTech products that engage learners meaningfully around the world. Learn how four AWS EdStart Members are utilizing data to power their solutions.

Data has become a new global currency in the digital age, thus the capacity to turn it into useful information is becoming increasingly important. Geospatial data is collected and used by the Canadian government to support goals such as economic growth, environmental management, and social well-being.

NHS Digital launched NHS login, a serverless identity platform to facilitate access to a range of health and care apps for residents in England, with AWS, amongst other suppliers. Using the AWS Cloud, NHS Digital achieves scale, high availability, and security for citizens accessing these services, and helps users access NHS services quicker and more simply. NHS login is one of a number of services NHS Digital are hosting on the cloud as part of the UK government’s ‘Cloud First’ policy.

How do you predict and prepare for your citizens’ health and wellness needs during the COVID-19 pandemic? Healthier Lancashire and South Cumbria Integrated Care System (ICS) quickly scaled a platform on AWS to support the 1.8 million people in their region with Nexus Intelligence, an interactive health intelligence application with a suite of predictive models against various measures of need and health outcomes. Nexus Intelligence not only supported the ICS response to the pandemic, but is expected to help reconfigure and re-invest in services to improve the health and well-being of the population and reduce health inequalities.

Modern data engineering covers several key components of building a modern data lake. Most databases and data warehouses, to an extent, do not lend themselves well to a DevOps model. DataOps grew out of frustrations trying to build a scalable, reusable data pipeline in an automated fashion. DataOps was founded on applying DevOps principles on top of data lakes to help build automated solutions in a more agile manner. With DataOps, users apply principles of data processing on the data lake to curate and collect the transformed data for downstream processing. One reason that DevOps was hard on databases was because testing was hard to automate on such systems. At California State University Chancellors Office (CSUCO), we took a different approach by residing most of our logic with a programming framework that allows us to build a testable platform. Learn how to apply DataOps in ten steps.