Databricks for Data Engineering
Building Production Data Pipelines with Apache® Spark™ in the Cloud
Data engineers perform mission-critical tasks such as Extract Transform Load (ETL) of unstructured data into a data warehouse or featuring engineering to train machine learning algorithms. As companies set their sights on making data-driven decisions or automating business processes with intelligent algorithms, mastering data engineering is an essential step.
In this solution brief, we will dive into why Apache Spark™ is the data engineering technology of choice for leaders such as Facebook, Uber, Netflix, and Tencent. We'll also share why Databricks is the best place to run Apache Spark and how it helps data engineers securely build and manage production-quality data pipelines more efficiently and cost effectively.
Download the solution brief to learn more.