Scalability in Data Engineering: Preparing Your Infrastructure for Digital Transformation
In the present era of data-centricity, institutions are amassing an immense amount of information at an unparalleled pace. This inundation…
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In the present era of data-centricity, institutions are amassing an immense amount of information at an unparalleled pace. This inundation…
I’ve been thinking a lot about data mapping lately. I know, weird, right? With analytics, AI, cloud, etc., why would…
Part I When I finished my last column, “Through the Looking Glass: Metaphors, MUNCH, and Large Language Models,” I stated…
In the digital age, businesses rely on high-quality, easily accessible data to guide all manner of decisions and encourage growth.…
There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in…
The insight we gain from an IoT system is derived from the data obtained by its sensors. Driven by innovations…
In today’s data-driven world, efficiently extracting data from large datasets is crucial for businesses to gain valuable insights and make…
I have been in data (in the fuzziest sense of the word) since about 2009, whether that means data engineering,…
The Internet of Things (IoT) is changing industries by enabling real-time data collection and analysis from many connected devices. IoT…
If you haven’t heard about metrics stores yet, they’re “newish,” so you likely will. They are interesting to an extent,…