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Mastering Databricks and Apache Spark

This course is ideal for individuals who

New to Azure tech stack and already have a basic knowledge of SQL or Python

Seeking Big Data processing and Spark skills

Looking for 3 real time projects

Prefers interactive learning

Desires hands-on experience Databricks(Basic-Advance) and Spark(Basic-Advance)

The Ultimate Guide for Databricks and Spark is crafted just for you!

If that sounds enticing and you aspire to become a proficient Data Engineer, then

Get Your Access Now
Modules covered in

The Ultimate Guide for Databricks and Spark

Download Your Roadmap Guide Now/ Full Curriculum/ Syllabus

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Demo video for reference

Module 1

Introduction to Databricks Essentials
(2 week)
  • Introduction to Databricks and Spark Architecture
  • Databricks Workspace Overview
  • Understanding Databricks Architecture and Services
  • Cluster Management: Creation and Administration
  • Dbutils and Usage of Dbutils
  • Parameterization of Notebook Using Dbutils
  • Understanding Spark UI
  • Git Integration, Cherry Pick, Git Revert
  • Secret Scope
  • Databricks CLI and Backup Process Setup

Module 2

Delta Lake Fundamentals
(1 week)
  • Delta Lake Introduction and Table Management
  • Table Manipulation with Delta Lake
  • Advanced Delta Features and Delta Lab

Module 3

Relational Data Management
(1 week)
  • Delta Lake Introduction and Table Management
  • Table Manipulation with Delta Lake
  • Advanced Delta Features and Delta Lab

Module 4

Task Orchestration and Automation
(1 week)
  • Orchestration and Scheduling Techniques

Milestone: Project 1

Bonus: Resume guidance and sample resume.

Module 5

Advanced Spark Performance Optimization
(2 week)
  • RDD and DataFrame Fundamentals
  • Read and Process CSV, JSON, XML File
  • Handling Complex JSON and Struct Data Types
  • Handling Data Skew and Salting
  • DataFrame Spark API and Data Source Spark API
  • Conversion between PySpark and Pandas
  • Common Transformation Techniques in PySpark
  • Directed Acyclic Graphs (DAG) and Adative Query Execution
  • Catalyst Optimizer and DataFrame.explain
  • Predicate Pushdown and Projection Pushdown
  • Repartition, Coalesce and Cache, Persist
  • Sort Merge Join, Broadcast Join, and Z-Ordering

Module 6

Advanced Topics in Lakehouse Architecture
(1 week)
  • Lakehouse Architecture and Medallion Architecture
  • Unity Catalog and SCD Implementation

Milestone: Project 2

Bonus: Mock interview sessions and interview doubt sessions.