10 Best Practices for Data Engineers

Logo
Presented by

Clarke Patterson, Head of Product Marketing, Snowflake

About this talk

Data engineering is one of the fastest growing jobs in the United States. In fact, in many organizations data engineers are essential for guiding data strategy and pipeline optimization to help businesses leverage their data for increased profitability and growth. If you’re a data engineer looking to make the right decisions about data strategies and tools for your organization, join our live webinar, as we discuss 10 best practices for data engineering. This webinar will cover: - Tips for streamlining and operationalizing pipeline development - The benefits of using data streaming instead of batch ingestion - The types of tools to invest in - Skills to help your organization harness the power of data
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (8)
Subscribers (6540)
Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use
Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com
(NYSE: SNOW).