That creates major challenges for businesses and organizations trying to make valuable use of their data assets. They need advanced tools to identify and inventory the data they have and where it ...

Real-time data processing has become essential as organizations demand faster insights. Integration with artificial intelligence and machine learning has expanded predictive capabilities, while edge ...

Managing, moving, transforming and governing data for business applications and data analytics purposes has always been an important part of IT operations. But those chores have taken on a new level ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data governance tools are software applications that enable ...

A new Forrester report projects that the market for Big-Data management tools will grow by double-digit rates. The report, “Big Data, Big Promises, Big Growth,” found the global market for big-data ...

Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management software that help businesses efficiently store, organize and analyze data. Data management software, not to be ...

Komprise announces new enterprise tools and features for unstructured data management Your email has been sent Komprise, a leader in analytics-driven unstructured ...

It is well-established that accounting is a data-intensive stream. It is filled with numerical, non-numerical, statistical and non-statistical data. There is data involved in invoices, purchase orders ...

Thanks to digital solutions, the healthcare industry has made immense progress over the last few decades. In a not-so-distant future, the state of things will be even more exciting. A smartwatch could ...

Reigning in the wild growth of unstructured data in the Big Data era using fewer resources requires Middle East IT managers to implement an intelligent and modern approach to data management DUBAI, ...

Researchers rely on medical imaging curation for artificial intelligence (AI) initiatives that accelerate discovery. In such big data projects, many scientists devote a majority of their time to data ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...