The question of the day is, “What is data fabric?” Data-driven decision-making and increasing data practices are becoming more widespread in the business world. The epidemic may have compelled them to act, but they’ve recognized the value of data and will never go back to making judgments based on hunches.

For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information that can be pulled from the massive amounts of data being generated, accessed, and stored in myriad locations, from corporate data centers to the cloud

Data professionals have long debated the merits of the data lake versus the data warehouse. But this debate has become increasingly intense in recent times with the prevalence of data and analytics workloads in the cloud, the growing frustration with the brittleness of Hadoop, and hype around a new architectural

Data professionals across industries recognize they must effectively harness data for their businesses to innovate and gain competitive advantage. High quality, reliable data forms the backbone for all successful data endeavors, from reporting and analytics to machine learning. Delta Lake is an open-source storage layer that solves many concerns around data

Data lakes are based on a simple idea: You can store and analyze massive amounts of raw data at scale. But why data lakes? Here are five reasons why IT leaders are excited about this idea: Unfortunately, lots of companies end up with a data swamp instead of a data

When I start helping a company unlock the vast potential of big data, I often get a tour of the technology they’ve acquired and data repositories bursting with potential. But frankly, that’s not what I want to see because shiny new technology and boatloads of data are not the keys