Big Book of Data Engineering: 3rd Edition Best practices and real-world references

As the collection of data continues to increase, 73% of the data goes unused for analytics or decision-making. Complex ETL pipelines hamper workflow continuity, existing infrastructure struggles to cope with the pace of real-time data streams, and considerations for data governance often take a backseat with the exponential data expansion.

Extracting value from the data requires building efficient and reliable pipelines, but that process can be challenging. The Big Book of Data Engineering: 3rd Edition will help data engineers with the actionable strategies and data engineering best practices they need to streamline data workflows, ensure data quality, and unlock the full potential of their data infrastructure. Learn from the successes of industry leaders like AT&T, Grammarly, and Rivian through real-world use cases that showcase end-to-end data engineering solutions with Databricks Lakehouse platform.

Download your complimentary copy today and empower your data team to excel in data-driven decisions.