Tag: Amazon S3

Cybersecurity analytics is a systematic methodology designed to collect, ingest, process, aggregate, and analyze security events. This methodology empowers organizations to proactively perform security investigations, powered by advanced analytics and machine learning (ML), which help mitigate cyber issues more effectively and efficiently at scale. Learn about the core components of a cybersecurity analytics framework and how organizations can use AWS to design a cybersecurity analytics platform with analytics and ML services.

Advances in technology are transforming the way health research can be conducted. It is now possible to integrate data from siloed sources into a data lake, a central repository where health data are aggregated and analyzed at scale. Now, more than ever, there are opportunities for collaborative research to accelerate life-saving medical innovation – and that’s exactly what JDRF International, the leading global Type 1 Diabetes research and advocacy organization, is doing with AWS.

Learn how government agencies can use AWS to build data interchange zones to automate their ability to ingest and validate data from other agencies or external entities in a secure manner. Automating this process can help agencies save time to focus on more strategic aspects of their mission.

SibsForever is a nonprofit created to support and provide a safe community for people who have lived through the loss of a sibling. SibsForever.org is a progressive web application that runs on AWS and functions as an online memory book for surviving siblings. By sharing their stories and experiences, the SibsForever.org community has become a safe and supportive space for surviving siblings. In this guest post from SibsForever founder Audree Thurman, Audree describes why she decided to work with AWS to create her nonprofit’s web application, and how she built SibsForever in the cloud.

On September 20, 2022, Americans celebrate National Voter Registration Day with a massive cross-country effort to register voters ahead of the federal midterm elections. AWS is a proud sponsor of National Voter Registration Day to help drive civic engagement. AWS supports important resources for US citizens to register to vote; plus, government technology companies (GovTechs) use AWS to expand voting resources to Americans across the country. Read on to learn more about how organizations use AWS to make it simple to register to vote.

The Port of Long Beach, California is the second busiest port in the United States and needs to effectively process and oversee more than $200 billion worth of cargo each year. In addition to keeping track of items and effectively communicating with stakeholders, the Port in recent times has had to contend with shipping delays and other supply change issues exacerbated by the pandemic. To increase visibility and efficiency of cargo movement, the Port turned to AWS to pioneer an innovative solution in the cloud.

Data lakes are becoming increasingly common in many different workloads, and geospatial is no exception. In 2021, Amazon Web Services (AWS) announced geography and geohash support on Amazon Redshift, so geospatial analysts have the capability to quickly and efficiently query geohashed vector data in Amazon Simple Storage Service (Amazon S3). In this blog post, I walk through how to use geohashing with Amazon Redshift partitioning for quick and efficient geospatial data access, analysis, and transformation in your data lake.

In 2017, the Alex’s Lemonade Stand Foundation (ALSF) founded the Childhood Cancer Data Lab (Data Lab) to address an important gap in the pediatric cancer field: vast amounts of accumulated data were not being put to use at scale. To address this gap, the Data Lab used AWS to build refine.bio, an openly available collection of normalized bulk gene expression data, to make public datasets interoperable and reusable.

Security is priority number one at AWS. Data stored in Amazon Simple Storage Service (Amazon S3) is private by default. However, some datasets are made to be shared. In this blog post, we cover the no-cost mechanisms data providers can utilize to create access control policies for their highly distributed open datasets.

Increasingly, AWS customers are operating workloads both in AWS GovCloud (US) and standard AWS Regions. Dependencies between workloads, changing data controls, or enrichment of data across multiple data levels are examples of business needs that may require moving data in and out of AWS GovCloud (US). In this blog post, I explain how to move data between Amazon Simple Storage Service (Amazon S3) buckets in the AWS GovCloud (US) and standard partitions.