O'Reilly on Data

OCTOBER 19, 2021

Data is at the core of any ML project, so data infrastructure is a foundational concern. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. Data Science Layers. However, none of these layers help with modeling and optimization.

IT 364

IT Testing Experimentation Software 364

Jet Global

APRIL 2, 2019

Thankfully, with widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated daily are presenting a new problem for businesses—what data matters? How should data be tagged, sorted, grouped, and analyzed?

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Alation

AUGUST 9, 2021

Let People Tell Their Data Story In Their Own Way. Business users are told that they must be data-driven and they must justify decisions with data. Yet, they have few means for contextualizing data or data storytelling that are as easy to use and customize as their old standby: PowerPoint.

Analytics 98

Analytics Data-driven Data Analytics Contextual Data 98

Jet Global

AUGUST 14, 2019

Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? Enter data warehousing.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

OCTOBER 2, 2019

Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? Enter data warehousing.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40