Conquering modern data stack complexities

2023-04-14 03:00

How are data teams conquering the complexity of the modern data stack? Unravel Data has asked 350+ data scientists, engineers, analysts, and others who rely upon real-time data insights for decision-making to share their practices.

"For the third year in a row we've had the opportunity to take the pulse of enterprise data teams to better understand the daily challenges they face as they accelerate their ambitious big data analytics programs," said Kunal Agarwal, CEO of Unravel Data.

"In just the course of a year we've seen a significant shift in how these growing, cross-functional teams are prioritizing DataOps as an established discipline across their organizations in a similar way that DevOps became an entrenched practice among software teams a decade ago. But despite this progress, this year's survey also demonstrates that issues like FinOps, cloud utilization, and data security continue to present unique challenges to data teams," Agarwal continued.

Data teams challenges Cloud spending is now a critical KPI for the majority of data teams.

Despite the fact that data teams have reported a lack of visibility into cloud spending, the adoption of mature FinOps practice was not viewed as an immediate priority among respondents with just over 20% reporting that their data teams have an established FinOps practice while a third of data teams reported that they are still in the early planning phase of implementing FinOps.

This year when participants were asked what they viewed as the top challenge with operating their data stack, 41% respondents cited the lack of data quality as their most significant obstacle, while 35% noted that the lack of visibility across their environments was the second biggest obstacle to managing their data stack.

News URL

https://www.helpnetsecurity.com/2023/04/14/data-teams-challenges/