Level up your data engineering skills and get certified as a Databricks Certified Data Engineer Associate by attending these instructor-led training classes, free of charge, taking place between 17 and 20 April.

The training series consists of four half-day sessions facilitated live by Databricks instructors and teaching assistants, who will answer all of your questions. Upon completion of the course, survey and accreditation, you will receive a 75% discount certification voucher to use on a Databricks certification exam for the course.

Data Engineering With Databricks

Monday 17 April–Thursday 20 April 
8:00 AM-1:00 PM IST

10:30 AM-3:30 PM SGT

12:30 PM-5:30 PM AEST

Description

Data professionals from all industries 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 analytics applications and dashboards in the lakehouse. This course offers hands-on instructions in Databricks Data Science & Engineering Workspace, Databricks SQL, Delta Live Tables, Databricks Repos, Databricks Task Orchestration, and the Unity Catalog.

Duration

• 4 half days (4.5-5 hours per day) from 17 to 20 April

Learning outcomes

• 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
• Get certified as a Databricks Certified Data Engineer Associate upon completion of this 4-day course, normally worth US$1.5K

Prerequisites

• Experience using SQL to query data from enterprise data stores
• Familiarity with basic cloud concepts (virtual machines, object storage, identity management)
• Basic familiarity with Python variables, functions and control flow (preferred)

Topic outline

• Delta Lake
• Relational entities on Databricks
• ETL with Spark SQL
• Just enough Python for Spark SQL
• Incremental data processing with Structured Streaming and Auto Loader
• 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
• Certification Overview - Databricks Certified Data Engineer Associate

Speakers

Register Now