Every business must either become a data business or face potentially going out of business. When data goes to work, organizations can maximize productivity and profits. Data mitigates the guesswork ...

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the ...

Ashish Thusoo and Joydeep Sen Sarma know a thing or two about big data. They led the team that built Facebook's data infrastructure, and they are also the co-authors of the Apache Hive project and ...

The practice focuses on collaboration and automation to speed delivery of analytics—and accelerate innovation. Produced in association withHitachi Vantara Businesses today are facing a mammoth digital ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

NewVantage Partners 2018 Big Data Executive Survey, demonstrates that culture and organizational impediments are leading barriers to harnessing Big Data. Over half of executives surveyed reported that ...

Over the past decade, the push for digital transformation has touched nearly every industry and has changed the game for BI. Now, every system and device has a digital trail, with data varying in ...

DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best ...

Pune, Feb. 07, 2025 (GLOBE NEWSWIRE) -- DataOps Platform Market Size Analysis: “According to the latest SNS Insider report, the DataOps Platform Market was valued at USD 4.0 billion in 2023 and is ...