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…
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…
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…
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…
Google is deprecating webview support starting January 4, 2021.
Amazon Web Services FeedAmazon QuickSight now supports Amazon Elasticsearch Service, and adds new box plot and filled map visuals Amazon QuickSight dashboards can now visualize data from Amazon Elasticsearch Service. Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and run Elasticsearch cost effectively at scale. Authors…