Category: Analytics

The new AWS Region in the Middle East brings new infrastructure to the United Arab Emirates (UAE) and will consist of three Availability Zones, giving local customers more choice and flexibility to leverage advanced cloud technologies. Learn more about how organizations in the UAE public sector are already innovating with AWS at home and in space.

The College of Liberal Arts at University of Texas at Austin wanted to make it simple for students, faculty, and staff to contact support agents. This is how they built and scaled a contact center solution on AWS with Amazon Connect that reduced call wait time, cut costs, and more easily resolved technical issues — all while call volume more than quadrupled.

Rush University Medical Center embraced cloud transformation for internal operations and organizational needs as well as in response to the COVID-19 pandemic. The Rush analytics team worked with the city of Chicago department of public health to create a working reference implementation of a cloud-based public health analytics hub. This hub aggregates, combines, and analyzes multi-hospital data related to patient admissions, discharges and transfers, electronic lab reporting, hospital capacity, and clinical care documents of COVID-19 patients receiving care in and across Chicago hospitals.

Data is at the heart of showing citizens how public services are working, and it enables the public sector to improve policy and operational delivery. Citizens expect accessible and useful services. The public sector aims to demonstrate success through data. To build trust in this relationship and promote accountability, public sector organizations need to communicate the data-driven performance of the services they provide. To help address these challenges, AWS is releasing Performance Dashboard on AWS. Performance Dashboard on AWS is a new open source solution to help you measure and share what’s important in one place and at minimal cost, and you can have the solution up and running in a matter of minutes.

The Urban Analytics Lab at the National University of Singapore (NUS) spearheads research in geospatial data analysis and 3D city modelling. The lab’s work underpins the development of smart cities and provides scientists, architects, urban planners, and real estate developers with data insights. These insights help parties make informed decisions about projects ranging from energy modelling to urban farming. To meet rising global demand for its data analytics and planning tools, Urban Analytics Lab turned to Amazon Web Services (AWS).

Join us at the upcoming AWS Public Sector Summit Online (April 15-16, 2021) where attendees will have the opportunity to test their knowledge and learn new skills in the AWS Jam Lounge and virtual workshops. Put your skills to the test in the AWS Jam Lounge (Sponsored by Intel and Fortinet) and learn something new by attending virtual workshops

Times Higher Education (THE) is a data-driven business that, with the help of AWS, is now realising the value of their data, which enables them to be better informed and make faster decisions for customers. THE provides a broad range of services to help set the agenda in higher education, and their insights help universities improve through performance analysis. THE worked with the AWS Data Lab to create a centralised repository of their data. Launching a data lake helped with providing a cost-effective platform and cataloguing data so they could understand their data and design new products to make use of it.

If you share data with other researchers, especially if they are using a different tool, you can quickly run into version issues, not knowing which file is the most current. Rather than sending data files everywhere, AWS offers a simple way to store your data in one central location so that you can read your data into SAS and still share it with other colleagues. In this blog post, I will explain how to export your data, store it in AWS, and query the data using SAS.

Many organizations including the intelligence community, security organizations, law enforcement, regulatory bodies, news organizations, and non-governmental organizations work together to disrupt transnational crime networks. Their missions include combating illicit trade; disrupting human, animal, and narcotics trafficking; detecting money laundering; and exposing political corruption. This community needs rapid analysis of large, diverse streams of information about air transportation networks, because air transportation is the fastest way to conduct illicit trade internationally. The nonprofit Center for Advanced Defense Studies (C4ADS) built the Icarus Flights application to meet this need. By building on AWS using managed cloud services, C4ADS spends less time and energy managing infrastructure, which frees them to focus on building innovative analytics and alerting services that their user community needs.

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.