Unlock the Power of Data and AI Transformation with
Databricks Expertise
Accelerate new hire readiness with skill paths for emerging Data+AI talent. Our Databricks training equips your team to master Apache Spark, Delta Lake, and MLflow for efficient data engineering and AI workflows.Request a demo
Databricks Data Engineering
Databricks Data Engineering
Master the art of building robust, scalable, and efficient data pipelines on Databricks to drive actionable insights and accelerate business outcomes.95%Learner SatisfactionOur data engineering program consistently receives top ratings for its practical approach and comprehensive coverage of modern data pipeline architectures.
800+Data Engineers CertifiedOver 800 professionals have advanced their careers by mastering data engineering concepts and best practices on the Databricks Lakehouse Platform.
20%Improvement in Pipeline EfficiencyOrganizations leveraging our Databricks Data Engineering training report an average 20% boost in pipeline performance and reduced maintenance overhead through optimized workflows and automation.
CONTENTS
Discover contents
3 Scenarios
01h
Data Governance with Unity Catalog in Databricks
general
batch-etl
data-governance
access-control-security
+4
5 Scenarios
02h 20m
Working with Structured Streaming Data using Autoloader
general
approach
data-understanding
data-wrangling
+4.webp&w=3840&q=100)
2 Scenarios
40m
Need for Pyspark to Build ELT Pipelines
e-commerce
general
approach
data-storage
data-quality
+7
3 Scenarios
01h 30m
Introduction to SQL Warehouse: Compute, Dashboard & Alerts
general
data-understanding
data-visualization
batch-etl
+6
4 Scenarios
01h 40m
Working with Structured Streaming Data
general
approach
data-understanding
data-wrangling
+4
6 Scenarios
02h 35m
Introduction to Delta Live Tables (DLT) in Databricks
general
approach
data-wrangling
batch-etl
+4