DataOps for Machine Learning: A Guide for Data Engineers and Data Scientists

Jul 09, 2019 by Kevin Petrie in Decoding Data Software

ABSTRACT:

DataOps helps data engineers and scientists get machine learning right. Improve results with modular development, flexible execution and rigorous testing.

SAS Addresses Five Key Analytics Challenges

Jul 09, 2019 by Stephen J. Smith in Predictive Analytics Trends

ABSTRACT:

New challenges to analytics platforms have prompted SAS to create new responses. The software giant responds with automation and decision support tools.

Finding Value in Analytics, Part 1: The Journey

Jul 04, 2019 by Richard Hackathorn in Guest Blogs

ABSTRACT:

This article series will help you focus on critical business perspectives on why and how to apply technology to get value from analytics. 

DataOps: More Than DevOps for Data Pipelines

Jul 04, 2019 by Dave Wells in Data Management

ABSTRACT:

Converging development and operations for data pipelines and analytic modeling is the essence of DataOps.

Should a Business Intelligence Leader Hire Specialists or Generalists?

Jul 03, 2019 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

Data analytics leaders can balance the use of specialists and generalists linked via a Competency Center.