The DataOps methodology offers a new way to improve both the quality and speed of data analytics.

DataOps graphic, with permission from Ascend’s dataops.dev

The proliferation of data and data systems — spurred by an increasing number of use cases for advanced data analytics — has catapulted DataOps into the mainstream for modern organizations. The DataOps methodology has been growing in popularity among data teams, offering a new way to improve both the quality and speed of data analytics.

Traditionally, data pipelines relied on very little automation and required intensive coding. …


Photo by Kevin Ku on Unsplash

Earlier this year, in the LinkedIn 2020 Emerging Jobs Report, the role of the data engineer was listed as number eight in a ranking of emerging jobs in the U.S. — with a 33% annual hiring growth rate. More recently, the Robert Half Technology’s Salary Guide ranked data engineering as the highest-paying IT job in 2021. According to Robert Half, data engineering talent will continue to be compensated well above average as organizations will heavily rely on “individuals who can transform large amounts of raw data into actionable information for strategy-setting, decision making and innovation.”

As the demand for data…

Sheel Choksi

Solutions Architect at Ascend.io

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