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 ...

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 ...

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 ...

A dataops team will help you get the most out of your data. Here’s how people, processes, technology, and culture bring it all together Have you noticed that most organizations are trying to do a lot ...

DataOps, an adaptation of what’s traditionally known as DevOps, has evolved into an essential component of modern business operations. DataOps applies the concepts that have fostered more agility and ...

The most vulnerable points in modern business operations are not where you think they are. It’s not the scale and complexity of modern data architecture that makes business operations vulnerable. It’s ...

It’s sad but true, most attempts by companies to leverage data as a strategic asset fail. The challenge of both managing vast amounts of disparate data and then distributing it to those who can use it ...

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DataOps is a viable approach that combines data engineering into operations processes. It aims to promote data management practices and procedures that improve the speed and accuracy of analytics.

As industrial organizations scale digital transformation initiatives, the ability to reliably move, contextualize, and standardize operational data is critical. Without the right data architecture, ...