ByVitaly Chernobyl

April 8, 2022

Some enterprises are still limping along on legacy data warehouse architecture, partying like it’s 1989. They’re used to doing things a certain, specific way, to observing certain, specific customs...

ByVitaly Chernobyl

March 24, 2022

By next year, Gartner Inc. projects that three quarters of all database deployments will have shifted to the cloud. Gartner’s report did not speak specifically to deployments of the data warehouse ...

ByVitaly Chernobyl

March 17, 2022

If you want more, better, different analytic insights, you need more, better, different sources of data.  This is especially true of data science and machine learning (ML) engineering. Rather than ...

ByVitaly Chernobyl

March 10, 2022

What if managing change were as simple as manipulating different types of logical abstractions? In software engineering, this is the conceit behind model-driven software development.  MDSD is not a...

ByVitaly Chernobyl

February 17, 2022

Imagine a business intelligence (BI) and analytics platform comparable in its way to Snowflake, the platform-as-a-service (PaaS) data warehousing specialist. A PaaS designed with the pluses and min...

ByVitaly Chernobyl

February 10, 2022

Sometimes, the very idea of sales force automation (SFA) can seem like a contradiction in terms. Thirty years into the SFA revolution, a stubborn remnant of the sales process is still human-labor-i...

ByVitaly Chernobyl

February 10, 2022

It’s easy for an enterprise that uses cloud services to feel as if it has been transported back in time. Back to the early 1980s, to be exact, when the concept of a central, time-variant repository...

ByVitaly Chernobyl

January 24, 2022

Do you ever get confused by all of the new terms and trends in tech, especially in data and analytics? For example, when you hear a term like “reverse ETL,” do you automatically think: “Um, LTE? Is...

ByVitaly Chernobyl

January 22, 2022

As far as predictive modeling is concerned, you can do too much or too little. Believe it or not, most people try to do too much! Kathleen L. D. Maley, vice president of analytics production with E...

ByVitaly Chernobyl

January 18, 2022

The data catalog products of today are completely different beasts  Don’t think of the data catalog as “just” a technology, think of it as a lens: a panoramic aperture you can use to zoom in to get...

ByVitaly Chernobyl

January 15, 2022

It’s about time to start treating it like one, anyway If you still approach data engineering as a disconnected series of one-off projects, you’re doing it wrong. Consciously or unconsciously, you’r...

ByVitaly Chernobyl

December 17, 2021

Pity the modern sales manager: in a market teeming with software-as-a-service (SaaS) CRM solutions, she’s forced to make do with sales enablement and sales engagement services that have been design...

ByVitaly Chernobyl

November 4, 2021

What can you do with sensor data? Real-time, event-driven process automation, you say? Sign me up! But what do you actually need to be able to do this on the tech side? This is the question a lot o...

ByVitaly Chernobyl

October 4, 2021

To explain insanity, Albert Einstein used the example of a person who keeps making the same mistake over and over again – yet each time expects a different outcome. Implicit in this is the anti-str...