Data Engineering with Databricks
Description
Data professionals from all walks of life will benefit from this comprehensive introduction to the components of the Databricks Lakehouse Platform that directly support putting ETL pipelines into production. You will 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 & Engineering Workspace, Databricks SQL, Delta Live Tables, Databricks Repos, Databricks Task Orchestration, and the Unity Catalog.
This course will prepare you to take the Databricks Certified Data Engineer Associate exam.
Duration
2 full days or 4 half days
Objectives
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
Prerequisites
Basic knowledge of SQL query syntax, including writing queries using SELECT, WHERE, GROUP BY, ORDER BY, LIMIT, and JOIN
Basic knowledge of SQL DDL statements to create, alter, and drop databases and tables
Basic knowledge of SQL DML statements, including DELETE, INSERT, UPDATE, and MERGE
Experience with or knowledge of data engineering practices on cloud platforms, including cloud features such as virtual machines, object storage, identity management, and metastores
Basic familiarity with Python variables, functions, and control flow (preferred)
Outline
Day 1
Delta Lake
Relational entities on Databricks
ETL with Spark SQL
Incremental data processing with Structured Streaming and Auto Loader
Day 2
Medallion architecture in the data lakehouse
Delta Live Tables
Task orchestration with Databricks Jobs
Databricks SQL
Managing Permissions in the lakehouse
Productionizing dashboards and queries on Databricks SQL
Upcoming Public Classes
Public Class Registration
If your company has purchased success credits or has a learning subscription, please fill out the public training requests form. Otherwise, you can register below.
Private Class Delivery
If your organization would like to request a private delivery of the course, please fill out the request form below.
Questions?
If you have any questions, please refer to our Frequently Asked Questions page.