Category: AWS Data Exchange

In this post, we will show how it may be possible to avoid wastage and better forecast food needs using PredictHQ’s dataset with  Amazon Forecast and other machine learning services.

In this blog post, we explore how businesses can use AWS Data Exchange with their on-premises Hive-compliant data source using Dremio to integrate third-party and on-premises data without moving or copying data. We also demonstrate how customers can use the consolidated data for business intelligence (BI) and exploratory analytics.

In this blog post, we demonstrate joining data from Snowflake with data shared from a third party provider via AWS Data Exchange in Amazon Redshift. This solution lets you access and combine data from all these resources without needing to build and maintain complex data pipelines.

In this post, Brian, Snehanshu, and I’ll show you how to mask healthcare data for regulatory compliance using Amazon HealthLake and DataMasque.

Spatial data is a key ingredient for many analytical use cases, such as route optimization, location-based marketing, asset tracking, or environmental risk assessment. Bulk geospatial tasks like geocoding and generating isoline polygons have traditionally required complex APIs or highly specialized software—not to mention the Extract Transform Load (ETL) processes involved in those approaches. CARTO has […]

In this blog post, Boris, Pramod, and Alex use Amazon Elastic MapReduce (Amazon EMR)  to analyze historical market data provided by Refinitiv, part of LSEG, on AWS Data Exchange. We also show how AWS Data Exchange for Amazon S3 (Preview) and Amazon EMR enable us to eliminate undifferentiated heavy lifting and analyze terabytes of data cost-effectively by deploying Amazon EMR on Spot Instances.

In this post, I recap what’s new with AWS Marketplace, along with additional resources to help you get started using new products and features. To view keynotes and breakout sessions on demand, visit re:Invent 2022 watch on demand.

In this post, Michal, Atilla, Christopher, and I will explain what a data mesh is and show why Vista decided to create one. We’ll also show how Vista uses AWS services combined with solutions available in AWS Marketplace to build a multi-tenant data platform that enables its data mesh approach.

This post lists AWS Marketplace re:Invent breakout sessions happening on Thursday, December 1.

In this blog post, I will show how data-driven organizations can easily integrate third-party data products procured via AWS Data Exchange into your data mesh using the new AWS Data Exchange for AWS Lake Formation feature.