Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing ...

So, in the big data space, a converged architecture will in effect productize Hadoop by using the raw open source components, adding what’s missing, and then productizing the integration to ...

Here we are, a decade later—swamped in countless technologies, methodologies, applications, visualization techniques and data-aggregation capabilities—and many companies are still failing to ...

It wasn’t long ago that developers looked to the Lamba architecture for hints on how to design big data applications that needed elements of both batch and streaming data. But already, the Lamba ...

You can solve this streaming problem by modeling what is, in reality, an unbounded stream as periodically-arriving bounded data sets. Or the stream might arrive in higher-latency intervals (say ...

The Fusion Computing Model: Harnessing the Data Fountain. According to Earl J. Dodd, WWT, Global HPC Business Practice Leader, “Data are at the core of the Fusion Computing Model. Think of data as a ...

Radiant Advisors' John O'Brien explained modern data architecture at Data Summit Connect Fall 2020, presented by DBTA and Big Data Quarterly. There are a lot of components to a modern data ...

For businesses and their customers, the answers to most questions rely on data that is locked away in enterprise systems. Here’s how to deliver that data to GPT model prompts in real time.

Big data technology and data science with person touching data flowing on virtual screen. Business analytics, artificial intelligence, machine learning. Engineer or scientist analyzing stream of data.