DevOps isn't just for application deployments, it also applies to database development. DataOps is a variation which encourages automating the flow of data through enterprises, from source to storage.

Since the term’s inception in the late 2000s, “DevOps” is by far the most common approach to product development. During the last 15 years, DevOps processes have evolved to new speeds and scales, with ...

CAMBRIDGE, England--(BUSINESS WIRE)--Increasing complexity, the rapid adoption of emerging technologies and a growing skills gap are the biggest concerns facing IT leaders in 2024, according to The ...

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Last week’s Informatica World 2016 brought out a lot of talk involving data quality, real-time live data and the automation of ingesting and analyzing data in order to turn it into something ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Fusion IT methodologies that blend previously siloed processes to speed innovation and streamline deployment are on the rise. While DevOps is perhaps the most widely recognized hybrid process, there ...

The number of enterprise developers and their teams adopting DevOps practices across both applications and databases saw something of a spike last year, a Redgate Software survey concluded. This ...

Data science and machine learning are often associated with mathematics, statistics, algorithms and data wrangling. While these skills are core to the success of implementing machine learning in an ...

Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key Data scientists have some practices and needs in ...