Category: Amazon Athena

This is part 2 of a blog series – see part 1 for how to generate the data that is used in this blog. One of the main objectives of creating a data lake is to be able to perform analytics queries across large datasets to gain insights that would not be possible if the […]

As data emerges from population genomics projects all over the world, researchers struggle to perform large-scale genomics analyses with data scattered across multiple data silos within their organizations. In order to be able to perform more sophisticated tertiary analysis on genomics and clinical data, researchers need to be able to access, aggregate, and query the […]

In this blog post, we discuss how to leverage Amazon HealthLake, Amazon Textract,  Amazon Comprehend Medical, Amazon Athena, and Amazon QuickSight to further innovate and simplify healthcare prior authorization form completion. In our previous blog post, we discussed prior authorizations and how the often manual process can lead to delays or denials for care. These […]

Coca-Cola İçecek (CCI) is the world’s sixth largest bottler of Coke products. Headquartered in Istanbul, Turkey, CCI brings some impressive stats: They manufacture 1.2 billion cases of drinks produced annually across 26 bottling plants with operations in 10 countries, including Turkey, Azerbaijan, Iraq, Jordan, Kazakhstan, Kyrgyzstan, Pakistan, Syria, Tajikistan, and Turkmenistan, and serve 400 million […]

Editor’s note: Visit AWS FSI Services Spotlight to view the previous posts of the monthly blog series. In this edition of Financial Services Industry (FSI) Service Spotlight monthly blog series, we highlight five key considerations as they pertain to Amazon Athena including achieving compliance, data protection, isolation of compute environments, audits with APIs, and operational […]

In part one of this series of blog posts, Why CPGs and Logistics Vendors Need a Fleet Management Data Lake, we explained why CPGs and logistics vendors need a data lake for transportation and fleet management. To quickly recap, a data lake is an ideal way to store, manage, and analyze transportation and fleet data […]

The automotive industry is in the midst of a transformation to CASE (Connected, Autonomous, Shared, and Electric) as a mainstream strategy of every OEM (Original Equipment Manufacturer) and tier-one supplier. Connectivity is the foundation to deliver next-generation Autonomous, Shared, and Electric mobility. By 2030, about 95% of new vehicles sold globally will be connected, up […]

Financial institutions such as FINRA, Nasdaq, and National Australia Bank have built data lakes on AWS to collect, store, and analyze increasing amounts of data at speed and scale. A data lake allows organizations to break down data silos and store all of their data – structured, semi-structured, and unstructured – in a centralized repository […]

The Cancer Genome Atlas (TCGA) is a landmark cancer genomics program, producing molecular data for nearly 20,000 primary tumors and matched normal tissues from 11,328 patients across 33 cancer types. The TCGA includes germline and somatic variants, copy number variants, mRNA expression, miRNA expression, DNA methylation, and protein expression for most patients. In addition to […]

The key to meaningful progress in key global healthcare initiatives, like value-based care, reduction in costs, reduction of errors, and improving outcomes, lies within the vast quantity of data from sources ranging from medical imaging to electronic medical records. IDC projects the total universe of healthcare data to grow approximately 400% between 2020 and 2025, […]