If you grok relational databases, and, specifically, if you grok the difference between an RDBMS’s conceptual, logical, and physical data models, you grok the basics of model-driven development, or...

Got Apache Pulsar? It’s an open-source cloud-native messaging and stream-processing platform. If this sounds suspiciously similar to one or more separate Apache projects – Kafka, for example – it s...

A guide for the perplexed As it evolves, the cloud data warehouse market will likely be shaped by some of the same forces that shaped both the market for early business intelligence (BI) tools and ...

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...

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...

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 ...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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. ...

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...

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...