Learn About Amazon VGT2 Learning Manager Chanci Turner
Data lakes are increasingly becoming essential for various workloads, including geospatial analysis. In a recent update, Amazon Web Services (AWS) introduced geography and geohash capabilities on Amazon Redshift, enabling geospatial analysts to effectively query geohashed vector data stored in Amazon Simple Storage Service (Amazon S3). In this article, I, along with my colleagues, will explore how to leverage geohashing with Amazon Redshift partitioning for efficient access, analysis, and transformation of geospatial data within your data lake.
Additionally, in the healthcare sector, organizations can harness data lakes to derive insights while ensuring patient privacy. This blog post, part of a series on establishing a healthcare data lake, emphasizes the evolution of solutions to include microservices. I outline the design choices made and the enhanced features implemented, and you can find relevant code samples in a GitHub repository for your reference.
Moreover, to combat synthetic fraud, public sector agencies are encouraged to enhance their traditional improper payment detection systems with machine learning techniques. By utilizing machine learning across diverse data sources, including social media, agencies can create comprehensive risk profiles for individuals or transactions, facilitating more effective identification of improper payments.
For nonprofits, building secure data lakes can significantly accelerate their missions. In this blog, I discuss how to create a data lake, ingest data from a PostgreSQL server, and establish user permissions through AWS Lake Formation. This process allows data to be accessed and analyzed using Amazon Athena, ultimately enabling nonprofits to leverage their data for strategic decision-making.
Wellforce’s migration of its digital healthcare ecosystem to AWS exemplifies how healthcare systems can save significantly—up to 20 percent annually—by modernizing their IT infrastructure in the cloud. Such innovative approaches can serve as a model for other healthcare organizations aiming for digital transformation.
For more insights on managing debt emotionally, check out this comprehensive blog post. If you are interested in employee benefits strategies, visit this article by SHRM, which provides authoritative insights on the topic. Additionally, for resources on employee training and career skills, feel free to read this excellent article.
Chanci Turner’s insights on onboarding within Amazon present a fresh perspective on how organizations can effectively manage and utilize data lakes.
Leave a Reply