The Total Economic Impact of Data Engineering: A Fireside Chat with iPipeline

Research has found that enterprise data engineers spend 44% of their time building and maintaining ETL pipelines, costing on average $520,000 USD per year. Complexity of data pipelines and infrastructures brings challenges every step of the way for data engineers. Webinar [ForresterTEI-DataEngineering - Banner.png]() Hi there, Research has found that enterprise data engineers spend 44% of their time building and maintaining ETL pipelines, costing on average $520,000 USD per year. Complexity of data pipelines and infrastructures brings challenges every step of the way for data engineers. During this webinar our guest speakers will discuss how modern data engineering can not only improve productivity and performance for data engineering teams, but also drive beneficial impact to the entire business, from improving operational efficiency to driving new business outcomes. [Join this fireside chat style webinar]() with guest speakers Noel Yuhanna, VP, Principal Analyst at Forrester, and David Libesman, VP of Data Analytics at iPipeline to learn: - The top challenges and trends in data engineering - How data engineers’ productivity can be improved by 66% - What benefits modern data engineering practices can bring to the entire organization - How businesses achieved 616% ROI in three years [Register Now]() The Total Economic Impact™ of Snowflake for Data Engineering Read this study to learn how four customers leveraged Snowflake for their data engineering workloads, simplified their data pipelines and infrastructure, improved productivity for their data teams, increased the business value from data initiatives, freed bandwidth, and more. "Snowflake allows us to do ETL and reporting faster. With other solutions, it would require a lot more juggling to maintain robust data pipelines." - Director of Insights and Data Science, CarTrawler [Download Now]() Suite 3A, 106 East Babcock Street, Bozeman, Montana 59715 You’re receiving this email because you’re signed up to receive updates from Snowflake. If you’d prefer not to receive updates, you can [unsubscribe](.