Data Management | News, how-tos, features, reviews, and videos
By focusing machine learning on systematically getting smarter about how it analyzes, rates and utilizes data, we can not only reduce coding-hours but also worry less about imperfect data.
Itu2019s never too late to do something about your regrets and wake up to a happier, data-fueled Christmas.
Sherlock Holmes had a keen ability to see minute details often overlooked by other investigators, but also possessed a unique capability to stitch together clues and apply context to arrive at the correct answers that eluded others.
From data concerns to staffing needs to technology combinations, data analytics misconceptions abound. Hereu2019s a no-bull look at how to leverage data science to deliver bona fide business results.
Redefine Your Modern Analytics Infrastructure
With the generation of more and more data, the opportunity for businesses to derive profitable outcomes through data analytics is enormous.
Elastic database systems address multiple needs with cloud-native and container-native designs that allow them to scale-out and scale-in dynamically.
It's just more complex, harder and significant.
As image and data quality goes up u2013 driven by better capture, transfer, processing and compressing technologies u2013 the ability to store and process these images and video data easily becomes a competitive advantage.
Companies are increasingly developing new executive roles aimed at making the organization as a whole more data-driven and digitally adept. Here's how three new tech exec titles take different approaches to tackling the same problem.
A universal semantic data layer is a single business representation of all corporate data aimed at helping users access data using common business terms via the BI and analytics tools of their choice.
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