ByStephen Swoyer

December 3, 2021

In an interview earlier this year with DM Radio, a weekly radio show that focuses on data management, Teradata senior vice-president of marketing Chris Twogood argued that it is difficult to predic...

ByStephen Swoyer

December 3, 2021

The use of third-party or “alternative” data in analytics is not a new thing. There’s a sense, however, in which it is a newly feasible thing.  Today, more alternative data than ever before is bein...

ByStephen Swoyer

November 16, 2021

R.I.P. – the data warehouse. You had a good run, from your origins in the 1980s to your obsolescence in the second decade of the new millennium. Like all products of human ingenuity, you addressed ...

ByStephen Swoyer

October 11, 2021

Old-guard data warehousing stalwarts tend to react viscerally when the subject of the data lakehouse comes up. Watch them closely and you’ll see their brows knit sternly and their neck muscles begi...

ByStephen Swoyer

September 23, 2021

Confidentially, many chief data officers will admit that their companies suffer from what might euphemistically be called “data dyspepsia:” they produce and ingest so much data that the...

ByStephen Swoyer

September 2, 2021

Time-series data is inherently statistical. Each of the individual records of a time-series is indexed to a specific point in time. The “series” is the behavior that these records, in t...

ByStephen Swoyer

September 2, 2021

Sure, you trust your machine learning (ML) solutions, but do your customers? Do regulators? Courts of law? How does an ML-based solution inspire trust? Easy, says AI explainability (XAI) specialist...

ByStephen Swoyer

August 22, 2021

The use of alternative or third-party data in analytics is not a new thing. Thanks to a slew of technological, economic, and social transformations, however, it is a newly feasible thing.  Today, m...

ByStephen Swoyer

August 2, 2021

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...

ByStephen Swoyer

June 7, 2021

We live – and thrive – in an era of API-ification. We expose APIs willy-nilly for all sorts of purposes, not all of which are especially well thought out. Nor are we as forward-thinking as we shoul...

ByStephen Swoyer

May 11, 2021

How does one transform an analytics practice to take advantage of radically new tools, practices, and techniques, such as machine learning (ML) and artificial intelligence (AI) engineering? This wa...

ByStephen Swoyer

May 6, 2021

With the industry on the cusp of what proponents describe as a revolution in real-time analytics, businesses must balance known risks against potential rewards as they assess the benefits of techno...

ByStephen Swoyer

May 4, 2021

If you think about it, we should probably fetishize the role of data in relation to machine learning (ML) and artificial intelligence (AI) engineering – or, for that matter, analytics of any type. ...

ByStephen Swoyer

April 27, 2021

Streaming: Easy as E-S-B? Twenty years ago, system or software architectures that were capable of supporting analytics in real-time against fresh data tended to be prohibitively expensive.[i] Today...

ByStephen Swoyer

April 27, 2021

Too many vendors treat the term “cloud native” as little more than a marketing tool. Data warehousing specialist Yellowbrick Data is a notable exception to this trend. At the very least, Yellowbric...