Data Engineering with Databricks

DBDE-QA
Cena na vyžádání

Data professionals from all disciplines will benefit from this comprehensive introduction to the components of the Databricks Lakehouse Platform that directly support putting ETL pipelines into production. You’ll leverage SQL and Python to define and schedule pipelines that incrementally process new data from a variety of data sources to power analytic applications and dashboards in the lakehouse. This course offers hands-on instruction in Databricks Data Science and Engineering Workspace, Databricks SQL, Delta Live Tables, Databricks Repos, Databricks Task Orchestration and Unity Catalog.This course will prepare you to take the Databricks Certified Data Engineer Associate exam.

Leverage the Databricks Lakehouse Platform to perform core responsibilities for data pipeline development
Use SQL and Python to write production data pipelines to extract, transform and load data into tables and views in the lakehouse
Simplify data ingestion and incremental change propagation using Databricks-native features and syntax, including Delta Live Tables
Orchestrate production pipelines to deliver fresh results for ad hoc analytics and dashboarding

Data Engineering with Databricks

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