Whatever happened to Big Data?

In the world of AI, cloud services, and automation, the tools and expertise engineering managers need to mine large-scale data sets are changing, fast.

Big Data was born with the internet age, when web servers, social media platforms, and ecommerce applications started generating so much valuable information that only automated tools could deliver the insight digital businesses craved. As we enter the generative AI era, big data is only getting bigger, and the tools that defined the previous era are getting left behind.

Data storage options are proliferating, leaving engineering managers to grapple with a complex web of terminology and vendor options to store and mine their organizational data for insights.

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