Overview
This skill path prepares you for the Databricks Data Engineer Associate certification, equipping you with the skills to design and implement scalable data solutions in Databricks. You’ll start with foundational concepts, including data ingestion, transformation, and storage in the Databricks environment. Topics cover critical areas like building ETL pipelines, optimizing performance, and ensuring data quality. Through hands-on exercises and projects, you’ll master using Delta Lake, Spark SQL, and Databricks Workflows to construct and maintain efficient data pipelines.
By the end of this path, you’ll be ready to confidently apply your knowledge and take the Databricks Data Engineer Associate certification exam.
Skill path
1
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MasterclassNeed for Pyspark to Build ELT Pipelines
e-commerce
general
approach
data-storage
data-quality
data-wrangling
batch-etl
data-governance
databricks
spark
data-understanding
python
40m
2
MasterclassIntroduction to Databricks: The Unified Analytics Platform
general
e-commerce
approach
data-understanding
data-storage
data-wrangling
batch-etl
databricks
spark
cloud-management
01h 25m
3
ScenarioDatabricks Architecture, Cluster & Lakehouse: Practice Questions
e-commerce
approach
data-understanding
data-storage
data-quality
data-wrangling
batch-etl
distributed-processing
databricks
30m
4
MasterclassData Ingestion using Databricks
general
e-commerce
approach
data-understanding
data-storage
batch-etl
data-wrangling
databricks
50m
5
MasterclassData Analysis using Pyspark
e-commerce
data-wrangling
databricks
sql
spark
python
data-understanding
batch-etl
data-storage
55m
6
MasterclassData Analysis using SparkSQL
e-commerce
general
approach
data-storage
data-wrangling
batch-etl
databricks
spark
sql
data-understanding
01h 15m
7
ScenarioETL Transformations using Pyspark & SQL: Practice Questions
e-commerce
approach
data-understanding
data-quality
data-wrangling
batch-etl
data-storage
databricks
spark
50m
8
ScenarioDatabricks DE Associate Partial Mock Test - 01
e-commerce
approach
data-storage
data-quality
data-wrangling
batch-etl
cloud-management
code-versioning
distributed-processing
databricks
01h
9
ScenarioIntroduction to Medallion Architecture
e-commerce
data-storage
batch-etl
approach
databricks
25m
10
ScenarioIntroduction to Lakehouse & Delta Lake
general
data-understanding
data-storage
data-wrangling
batch-etl
approach
databricks
45m
11
Building ETL Pipeline using Medallion Architecture
general
e-commerce
approach
data-understanding
data-storage
data-quality
batch-etl
databricks
data-wrangling
data-modelling
quality
sql
python
03h 20m
12
ScenarioETL & Medallion Architecture: Practice Questions
general
batch-etl
approach
databricks
30m
13
Delta Lake Operations - 01: Timetravel, Optimize & Vacuum
general
approach
data-understanding
data-storage
data-quality
batch-etl
databricks
data-wrangling
01h
14
ScenarioDelta Lake Operations - 01: Practice Questions
e-commerce
approach
quality
data-storage
data-quality
data-wrangling
batch-etl
distributed-processing
data-understanding
databricks
spark
01h
15
Delta Lake Operations - 02: Handle Incremental Data
e-commerce
general
approach
data-understanding
data-wrangling
batch-etl
data-storage
databricks
01h 10m
16
ScenarioDelta Lake Operations - 02: Practice Questions
e-commerce
approach
data-understanding
data-storage
data-wrangling
batch-etl
databricks
spark
01h
17
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ScenarioDatabricks DE Associate Partial Mock Test - 02
e-commerce
approach
quality
data-understanding
data-storage
data-modelling
data-wrangling
batch-etl
databricks
45m
18
Working with Structured Streaming Data
general
approach
data-understanding
data-wrangling
stream-etl
data-storage
databricks
spark
01h 40m
19
Working with Structured Streaming Data using Autoloader
general
data-wrangling
stream-etl
data-storage
databricks
45m
20
ScenarioStructured Streaming & Autoloader: Practice Questions
e-commerce
approach
data-storage
data-modelling
data-wrangling
stream-etl
data-understanding
databricks
spark
40m
21
MasterclassIntroduction to Delta Live Tables (DLT) in Databricks
general
approach
data-wrangling
batch-etl
data-quality
databricks
data-storage
data-understanding
02h 35m
22
ScenarioDelta Live Tables(DLT): Practice Questions
e-commerce
approach
databricks
40m
23
ScenarioIntroduction to Workflows in Databricks
e-commerce
batch-etl
approach
databricks
50m
24
ScenarioWorkflows in Databricks: Practice Questions
e-commerce
approach
batch-etl
databricks
20m
25
MasterclassIntroduction to SQL Warehouse: Compute, Dashboard & Alerts
general
data-understanding
data-visualization
batch-etl
databricks
sql
approach
data-storage
data-modelling
data-wrangling
01h 30m
26
ScenarioSQL Warehouse - Databricks: Practice Questions
e-commerce
approach
data-storage
data-quality
data-wrangling
batch-etl
databricks
sql
01h
27
MasterclassIntroduction to Unity Catalog in Databricks
general
batch-etl
data-governance
access-control-security
approach
databricks
data-storage
data-modelling
01h 20m
28
ScenarioCode versioning with Github & Databricks
general
approach
code-versioning
batch-etl
databricks
30m
29
ScenarioUnity Catalog & Code versioning in Databricks: Practice Questions
general
code-versioning
data-governance
access-control-security
databricks
30m
30
ScenarioDatabricks DE Associate Partial Mock Test - 03
e-commerce
approach
data-quality
data-wrangling
batch-etl
stream-etl
code-versioning
data-understanding
databricks
45m
31
ScenarioDatabricks DE Associate Full Length Mock Test - 01
e-commerce
approach
data-storage
data-quality
data-wrangling
batch-etl
stream-etl
code-versioning
distributed-processing
data-modelling
databricks
sql
01h 30m
32
ScenarioDatabricks DE Associate Full Length Mock Test - 02
e-commerce
approach
data-understanding
data-storage
data-wrangling
batch-etl
stream-etl
code-versioning
data-governance
access-control-security
cloud-management
databricks
spark
01h 30m
33
ScenarioDatabricks DE Associate Full Length Mock Test - 03
e-commerce
approach
data-understanding
data-storage
data-quality
data-wrangling
batch-etl
stream-etl
cloud-management
code-versioning
distributed-processing
databricks
spark
01h 30m