As part of CRN ’s Stellar Startups for 2025, here are five big data technology startups, founded in 2019 or later, that ...

Organizations face obstacles in building effective unified environments, because these environments are difficult to deploy, and hard to manage with new types of data and multiple systems. Providing ...

Whether your business provides big data and analytics to others, or you use big data and analytics to enhance your own products, research and marketing, it is necessary to have a fast, efficient and ...

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 ...

It's been amusing to watch the NoSQL movement transition from a "We don't need no stinking SQL" attitude to a "Can I please have some SQL with that?" philosophy. The nonrelational databases that ...

Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...

Today, organizations are concerned about the integration, optimization, performance and skills required to deploy big data solutions. The enterprise-ready Teradata Aster Big Analytics Appliance breaks ...

SAP and SAS announced a new partnership to create a joint product roadmap for in-memory analytics solutions. The aim is to make SAS’s advanced analytics software run smoothly on SAP’s HANA in-memory ...

If you work for a large financial firm, it’s safe to assume that your data architecture is probably what UBS Group CTO Rick Carey calls a “big red blob.” Like many technologists whose job it is to ...