In today’s business landscape, data is the key ingredient to long-term growth. However, specialized tools and software are required to translate data into actionable insights. Without it, the data is ...

Big Data refers to a vast and diverse collection of structured, unstructured and semi-structured data that inundates ...

Late last month in Denver, data-warehousing giant Teradata launched its analytics cloud architecture and a raft of new tools designed to help organizations get more value from their data. But for some ...

Tools will enable buy-side clients at Virtu to manage data across trading strategy selection, cost attribution and counterparty evaluation. Virtu Financial has rolled out two big data analytics tools ...

Your SMB may have survived without big data. However, big data isn't just about big business anymore. Learn how to use big ...

The semiconductor industry has come a long way since integrated circuits (ICs) were designed using a pen and heaps of graph paper. Modern chip architects make heavy use of electronic design automation ...

Digital transformation initiatives and becoming a data-driven organization go hand in hand. But data managers, data scientists and business analysts continue to wrestle with the challenge of deriving ...

RAILWAY AGE, MARCH 2020 ISSUE: The December 2019 Big Data in Railroad Maintenance Planning Conference, held at the University of Delaware, continued to highlight the advances the railroad industry is ...

LONDON--(BUSINESS WIRE)--Quantzig, a premier data analytics and advisory firm that delivers actionable analytics solutions to resolve complex business problems, has announced the completion of its ...

In-house sources at Peloton Technology and elsewhere explain that big data analysis tools could be increasingly used for analyses surrounding IP litigation as the technology becomes more reliable ...

It’s no secret that big data can mean big challenges in the ediscovery world. Data volumes and sources are exploding year after year, in part due to a global shift to digital forms of communication in ...

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 ...