Data Engineering Accelerator Skill Path
13 Modules
12 Hours 30 Minutes
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Overview
Build essential data engineering skills with this focused program covering SQL querying, Python programming, Azure cloud services, PySpark distributed processing, and Databricks platform mastery. Gain practical experience through hands-on labs and real-world projects designed to prepare you for advanced data engineering roles.
Master the tools and techniques to design, build, and optimize scalable data pipelines and analytics workflows in today’s cloud-driven world.
Skill path
1
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Scenario
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5
Scenario
7
Scenario
11
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ProjectServerless Data Integration and Workflow Orchestration for Data Processing on Azure
e-commerce
data-understanding
data-storage
batch-etl
cloud-management
azure
data-wrangling
1 Hour 20 Minutes
12
ProjectWorking with Pyspark & it's Optimizations
e-commerce
data-wrangling
approach
databricks
spark
problem-understanding
performance-tuning
data-storage
1 Hour 10 Minutes
13
ScenarioImplementing Medallion Architecture
e-commerce
approach
data-wrangling
batch-etl
data-quality
databricks
spark
12 Inputs
2 Hours 30 Minutes