Octopai

MAY 2, 2022

Your dashboards, charts, visualizations… they’re all products. . Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates.

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

The Unofficial Google Data Science Blog

APRIL 23, 2024

It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Figure 4: Visualization of a central composite design.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Alation

SEPTEMBER 28, 2022

DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders. DataOps strategies share these common elements: Collaboration among data professionals and business stakeholders. Over the past 5 years, there has been a steady increase in interest in DataOps. Simplicity.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

datapine

JANUARY 31, 2022

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. What Are The Benefits of Business Intelligence?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214