AWS Marketplace
Category: Analytics
Accelerate self-service analytics integrating on-premises and third-party data with AWS Data Exchange and Dremio
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.
Join third-party data in Amazon Redshift with Snowflake using Amazon Athena
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.
Quant research at scale using AWS and Refinitiv data
In this blog post, Alex, Pramod, and I will show how to install and use the infrastructure we built to perform quant research at scale. We made the stack and examples available in the public repository so you can use it in your own investment research. This solution uses Apache Spark, Amazon EMR on EKS, Docker, Karpenter, EMR Studio Notebooks, and AWS Data Exchange for Amazon S3.
Masking Patient Data with DataMasque’s template for Amazon HealthLake
In this post, Brian, Snehanshu, and I’ll show you how to mask healthcare data for regulatory compliance using Amazon HealthLake and DataMasque.
Database auditing with DataSunrise Security in AWS Marketplace
In this post, Juston and I will show you how to make an automated data access report using the DataSunrise application for Aurora PostgreSQL-Compatible Edition.
Create catchment areas using drive times with Redshift and AWS Data Exchange
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 […]
Accelerating Spark workloads on Amazon EMR with Windjammer’s Spark plugin
AWS customers often use Apache Spark for distributed big data processing. Spark has gained popularity due to its fast in-memory computing that enables parallel computation of tasks across multiple nodes. To aid customers with running Spark workloads, Amazon EMR provides a managed cluster platform that makes it easy to run frameworks such as Apache Hadoop, […]
Analyzing impact of regulatory reform on the stock market using AWS and Refinitiv data
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.
What AWS Marketplace launched during re:Invent 2022: recap
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.
Using CUDOS Dashboard visualizations for AWS Marketplace spend visibility and optimization
In this post, Yuriy and I show how to use the changes to the CUDOS Dashboard in Amazon QuickSight to analyze your AWS Marketplace costs, gain insights, and spot trends.