Testing Capabilities and Tools for Data Engineers – Part 2

Jun 03, 2022 by Guest Author and Wayne Yaddow in Guest Blogs

ABSTRACT:

This article outlines how and why data engineers perform tests on their work efforts as they use automated testing and monitoring tools.

Deep Dive on Machine Learning Platforms: Three Tools to Consider

Jun 03, 2022 by Kevin Petrie in Decoding Data Software

ABSTRACT:

Enterprises need to foster open collaboration between business owners, data scientists, machine learning (ML) engineers, and data engineers. The machine learning platform enables these cross-functional teams to build and manage ML projects as part of an efficient, governed, and scalable process....

Autonomous Data Management: Requirements, Use Cases, and Guidelines

May 20, 2022 by Kevin Petrie in Decoding Data Software

ABSTRACT:

Autonomous data management (ADM) software uses metadata, automation, and artificial intelligence to standardize and accelerate data delivery. ADM guides data teams with prompts and recommendations as they manage infrastructure, data pipelines, and governance. Enterprises can use ADM to ease...

How Promethium Weaves a Data Fabric

May 17, 2022 by Jay Piscioneri in Reinventing with Data

ABSTRACT:

By using pervasive metadata and intelligent automation, a data fabric can make it easier to find, use, and manage today’s diverse and distributed data.

Location Intelligence Part I: Leveraging Geospatial Data to Drive Your Organization

May 13, 2022 by Joe Hilleary in Delving Into Data

ABSTRACT:

This article, the first in a series, presents the fundamentals of location intelligence, what it is and the kinds of insights it can provide.