Occam's Razor

MARCH 23, 2021

A key part of how this manifested in our work was doing truly super-advanced machine-learning powered analysis to answer hard questions that few can successfully. From 2006: Is Real-Time Analytics Really Relevant? ). So what does a strongly proactive and truly influential data strategy at the bleeding edge look like?

Analytics 131

Analytics Scorecard Strategy Testing 131

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. We keep feeding the monster data.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

DECEMBER 14, 2021

It’s only been 15 years since AWS took the first steps to the cloud with S3 and EC2, which launched in 2006. To that end, AWS is making inroads into the analytics and machine learning space. In summary, AWS powers next-generation analytics with the best of both data lakes and purpose-built data stores.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52