DataRobot Blog

OCTOBER 3, 2017

This highlights the two companies’ shared vision on self-service data discovery with an emphasis on collaboration and data governance. 2) When data becomes information, many (incremental) use cases surface.

Data Lakes 52

Data Lakes Azure Data Pipeline Hadoop 52

ODSC - Open Data Science

JUNE 12, 2023

From a data governance perspective, this is a massive risk to organizations by exposing them to the whole laundry of privacy and security breaches. No-code/low-code experience using a diagram view in the data preparation layer similar to Dataflows. Therefore, Datamarts are not a replacement for Dataflows.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Pickl AI

NOVEMBER 4, 2024

Key Takeaways Data Engineering is vital for transforming raw data into actionable insights. Key components include data modelling, warehousing, pipelines, and integration. Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

IBM Journey to AI blog

MARCH 14, 2024

Whether it’s for ad hoc analytics, data transformation, data sharing, data lake modernization or ML and gen AI, you have the flexibility to choose. Integrated solutions for zero-ETL data preparation: IBM databases on AWS offer integrated solutions that eliminate the need for ETL processes in data preparation for AI.

AWS 93

AWS Database ETL AI 93

Alation

FEBRUARY 13, 2020

Data Literacy—Many line-of-business people have responsibilities that depend on data analysis but have not been trained to work with data. Their tendency is to do just enough data work to get by, and to do that work primarily in Excel spreadsheets. Will data stewards assume curation responsibilities?

Data Governance 52

Data Governance Data Analysis Data Analysis Data Preparation 52

Alation

FEBRUARY 20, 2020

Even something like gamification may emerge as a way to fully engage data shoppers as a community. Behind the scenes, ‘backroom services” will power the storefront, performing such tasks as data acquisition, data preparation, data curation and cataloging, and tracking. Building the EDM.

Data Warehouse 52

Data Warehouse Data Lakes Hadoop Data Preparation 52

Pickl AI

OCTOBER 10, 2024

Support for Advanced Analytics : Transformed data is ready for use in Advanced Analytics, Machine Learning, and Business Intelligence applications, driving better decision-making. Compliance and Governance : Many tools have built-in features that ensure data adheres to regulatory requirements, maintaining data governance across organisations.

Data Quality 52

Data Quality AWS Machine Learning Machine Learning 52

The MLOps Blog

JUNE 27, 2023

See also Thoughtworks’s guide to Evaluating MLOps Platforms End-to-end MLOps platforms End-to-end MLOps platforms provide a unified ecosystem that streamlines the entire ML workflow, from data preparation and model development to deployment and monitoring.

Machine Learning 134

Machine Learning Machine Learning ML ML 134