AWS Marketplace
Category: Amazon EMR
Automate multi-account storage integrations in AWS using Snowflake and AWS Control Tower
This implementation guide describes how AWS Marketplace customers can integrate AWS Control Tower with Snowflake. The AWS Control Tower integration with Snowflake enables Snowflake storage integrations with Amazon S3 to be automatically available for all newly added AWS accounts in an AWS Control Tower environment. Snowflake is a data warehouse built for the cloud. It […]
Read MoreFive-minute data connection and transformation from AWS to anywhere using Nexla
As data becomes ubiquitous and data environments grow more complex, my customers ask for scalable solutions for managing their data flows. Accessing data from different vendors and data sources can be complicated, and transformations and checkpoints require the expertise of data engineers. Custom in-house solutions present a cost in both development and management time. Businesses […]
Read MoreSimplifying MLOps and improving model accuracy with Trifacta and Amazon SageMaker (Part 1)
This is the first blog post of a two-part series. Part 1 covers data preparation for machine learning (ML) using Trifacta, available in AWS Marketplace. Part 2, Simplifying machine learning operations with Trifacta and Amazon SageMaker, covers training the model using Amazon SageMaker Autopilot and operationalizing the workflow. In the past decade, advancements in machine […]
Read MoreAccelerate Amazon EMR Spark, Presto, and Hive with the Alluxio AMI
Data analytics workloads are increasingly being migrated to the cloud. Amazon EMR is a cloud-native big data platform that makes it easy to process vast amounts of data quickly and cost effectively at scale. Amazon EMR, along with Amazon Simple Storage Service (Amazon S3) provides a flexible storage platform. With the click of a few […]
Read MoreUsing AWS Marketplace for machine learning workloads
Organizations of all sizes are realizing that Machine Learning is more than a nice-to-have capability. It’s becoming a necessary differentiator that has the potential to impact almost every aspect of the business. From back-office optimizations to business forecasting and risk reduction, ML is critical for companies looking to innovate and remain relevant. One way for […]
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