New Research Reveals 97% of Data Teams Are at or Over Capacity
PALO ALTO, Calif., July 23, 2020 /PRNewswire/ -- Ascend.io, the data engineering company, today announced results from a new research study about the work conditions of data scientists, data engineers, and enterprise architects in the U.S. Conducted in June 2020, findings from over 300 professionals reveal key insights on their teams' current workload, productivity bottlenecks, and perspectives on automation and low-code technologies. Since the onset of the COVID-19 pandemic, the majority (78%) of data professionals have been asked to take on responsibilities outside of their core job function, with 97% now signaling their teams are at or over capacity. To support their teams and increase overall capacity, 89% of data professionals are turning to automation, low-code, or no-code technologies, with 73% citing automation as an opportunity for career advancement.
Pressures on Data Teams Escalate
All Roads Lead to Data Engineering
"Organizations are quickly discovering that data engineers are essential to unlocking the value of data and to removing bottlenecks across the entire data team," said Sean Knapp, CEO and founder of Ascend.io. "LinkedIn's 2020 Emerging Jobs Report found that data engineering has surged onto the scene, quickly becoming one of the top-ten jobs experiencing tremendous growth. At present, there are simply not enough data engineers to meet the demand. To enable more data professionals to tackle the growing backlog of data engineering tasks, tools such as automation, low-, and no-code technology can provide tremendous leverage and scalability for exsting data engineers, while at the same time enabling a new era of citizen data engineers."
Data Teams Level Up With Automation to Advance Careers and Empower Teams
The majority (73%) of respondents view automation as an opportunity to advance their career.
Enterprise architects are the most welcoming of automation, with 85% citing that it would provide an opportunity to further advance their career, followed by data engineers at 72%.
Perspectives about what is holding data teams back are more diverse depending on who was asked:
More Than Half of Data Engineers Seek Low- and No-Code Technologies
25% of data engineers are using low- and no-code solutions today and 53% are currently considering such technology, compared to 48% of enterprise architects and 42% of data scientists.
"The research demonstrates that across the board, teams are being asked to do more with less and they are turning to low-code solutions as a means of continuing to deliver on business needs," continued Knapp. "Low-code solutions are great at simplifying what used to be incredibly complex tasks. They also tend to encourage better modularity and system design, which keeps things simpler and more maintainable."
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