Machine Learning and Streaming Data Pipelines, Part II: Training and Operating Streaming ML Models

Jan 13, 2022 by Kevin Petrie in Decoding Data Software

ABSTRACT:

To succeed with streaming ML, data science teams must implement a feature store as part of a flexible machine learning architecture.

Patching Data Pipeline Leaks: Meeting the Challenge of Data Quality in the Cloud

Jan 12, 2022 by Joe Hilleary in Delving Into Data

ABSTRACT:

Data pipelines in the cloud drop data due to issues outside companies’ control. At scale, identifying these errors requires an automated approach.

Getting Started with DataOps

Jan 12, 2022 by Joe Hilleary in Delving Into Data

ABSTRACT:

The DataOps methodology promises to help businesses build data solutions faster with fewer errors. Moving from theory to practice, however, takes careful planning. This article will outline the basic tenets of the strategy and give you a framework from which to launch your own DataOps initiative.

Information Management Evolution: Endings and Beginnings

Jan 12, 2022 by Dave Wells in Data Management

ABSTRACT:

Information management is continuously evolving. Automated data storytelling and data mesh architecture are two of today’s most interesting game changers.

What to Expect in 2022: Ten Predictions to Ring in the New Year

Dec 22, 2021 by Wayne Eckerson and Wayne Eckerson, Kevin Petrie, Joe Hilleary, Dave Wells & Rich Fox in Data Strategy Insider

ABSTRACT:

Eckerson Group experts offer predictions that include the emergence of data governance platforms, convergence of machine learning and cloud data platforms, and explosion of data marketplaces. Also look for data literacy to become an HR priority.