BMC Launches BMC Helix Control-M on AWS with Support from AWS SaaS Factory

By Dustin Ward

Amazon Web Services FeedBMC Launches BMC Helix Control-M on AWS with Support from AWS SaaS Factory By Jon Christofaris, Sr. Practice Lead, AWS SaaS Factory The AWS SaaS Factory program was launched at re:Invent in 2017, and provides AWS Partners with resources, guidance, and expertise to accelerate and optimize their software-as-a-service (SaaS) launches on Amazon…

How to Build and Deploy Amazon SageMaker Models in Dataiku Collaboratively

By Dustin Ward

Amazon Web Services FeedHow to Build and Deploy Amazon SageMaker Models in Dataiku Collaboratively By Sunny Porinju, Sr. Product Marketing Manager at Dataiku Organizations often need business analysts and citizen data scientists to work with data scientists to create machine learning (ML) models, but they struggle to provide a common ground for collaboration. Newly enriched…

Exploratory data analysis, feature engineering, and operationalizing your data flow into your ML pipeline with Amazon SageMaker Data Wrangler

By Dustin Ward

Amazon Web Services FeedExploratory data analysis, feature engineering, and operationalizing your data flow into your ML pipeline with Amazon SageMaker Data Wrangler According to The State of Data Science 2020 survey, data management, exploratory data analysis (EDA), feature selection, and feature engineering accounts for more than 66% of a data scientist’s time (see the following…

Detecting sensitive data in DynamoDB with Macie

By Dustin Ward

Amazon Web Services FeedDetecting sensitive data in DynamoDB with Macie Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect your sensitive data in Amazon Web Services (AWS). It gives you the ability to automatically scan for sensitive data and get an…