Databricks Certified Data Engineer Associate - Bootcamp
Date: 7 April 2026 | Posted by: AD-TEAM
Databricks Certified Data Engineer Associate - Bootcamp
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.71 GB | Duration: 15h 43m
Databricks Data Engineer [2025] | Strong Hands-on for Databricks Certified Data Engineer Associate Certification Exam
What you'll learn
All the important topics you need to PASS the Certification - with deep hands-on practice
Understand key concepts like Lakehouse Federation, Lakeflow Connect, and the Medallion Architecture
Strong hands-on with Unity Catalog, Volumes, Metastore, Catalog UDFs, and utils
PySpark Big Data Crash Course - from basics to real-world use cases
Master Spark Structured Streaming using Auto Loader for INCREMENTAL real-time data ingestion
Learn the complete Delta Lake Architecture, its benefits, and how to implement & tune it for performance
Deploy and manage Databricks SQL Warehouses with parameterized queries, alerts, and query caching
Build streaming pipelines using Streaming Tables, Materialized Views, and Lakeflow Declarative Pipelines
Implement Slowly Changing Dimensions (SCDs) and add Data Quality checks using Delta Live Tables
Master Lakeflow Jobs to orchestrate your ETL pipelines like a pro
Understand and apply Row-Level Security, Data Masking, and Delta Sharing for secure data access
Learn Data Versioning, Time Travel, ZORDERING, Cloning, and Liquid Clustering
Requirements
Basic SQL knowledge will be required
Basic Python programming knowledge will be required
No DATABRICKS knowledge is required - Everything is covered from SCRATCH
Description
Are you ready to become a DATABRICKS DATA ENGINEER?Whether you're a beginner or a working professional who wants to level up, this course will guide you step by step with a hands-on, practical, and engaging approach.GAIN STRONG HANDS-ON WITH:Lakehouse Architecture, Lakehouse Federation, and Lakeflow Connect – Understand how Databricks handles structured and unstructured data, and how Lakehouse Federation lets you query external sources seamlessly.Unity Catalog, Metastore, Volumes, and UDFs – Learn how to manage data, permissions, and catalogs efficiently using Databricks' built-in governance features.PySpark for Big Data – Master PySpark with real use cases, transformations, actions, joins, and more — all from a Data Engineer's point of view.Structured Streaming + Autoloader – Build real-time pipelines using Spark Streaming and learn how Autoloader handles files in cloud storage.Delta Lake Architecture – Dive deep into Delta's features like ACID transactions, time travel, schema evolution, and performance tuning.Databricks SQL Warehouses – Learn how to write parameterized queries, schedule dashboards, and set alerts using SQL Warehousing.LakeFlow Declarative Pipelines – Work with Streaming Tables, Materialized Views, and build low-code data pipelines.Delta Live Tables (DLT) – Build robust pipelines with SCD implementation, data quality checks, expectations, and monitoring.Orchestrate ETL with LakeFlow Jobs – Schedule, monitor, and manage your pipelines using LakeFlow Jobs end-to-end.Security and Sharing – Apply row-level security, data masking, and explore Delta Sharing for secure and scalable collaboration.What Makes This Course Different?Super Engaging Lectures – No boring theory here! I explain every concept in a clear and beginner-friendly way using real-life examples and visuals.Deep Dive into Every Topic – I don't just scratch the surface. You'll understand the "why" and "how" behind every feature .Strong Hands-On Focus – Learn by doing! From pipelines to notebooks to warehouse, you'll build real solutions step-by-step, just like a Databricks Data Engineer does.DISCLAIMER : This course is independently created and not affiliated with or endorsed by Databricks Inc. All content, including explanations and practice materials, is original and intended solely for educational purposes. It does not include any actual certification exam questions and is based on publicly available documentation, real-world scenarios, and personal experience. Product names, logos, and trademarks used are the property of their respective owners and are included only for identification and learning. Always refer to official Databricks documentation for the latest and most accurate information.
Overview
Section 1: Course Introduction & Resources
Lecture 1 Introduction
Lecture 2 Disclaimer
Lecture 3 Resources - Zipped_Folder (Main)
Lecture 4 Resources - Raw Data
Lecture 5 Resources - Course Slides
Lecture 6 Resources - Scripts, Notebook, & Files
Lecture 7 Resources - Databricks Source Code
Section 2: Lakehouse Core Fundamentals
Lecture 8 What is Lakehouse?
Lecture 9 Delta Lake - Backbone of Lakehouse
Lecture 10 What is Databricks? & Why Databricks?
Lecture 11 Databricks Architecture
Lecture 12 What is Medallion Architecture?
Section 3: Get Started With Databricks
Lecture 13 Databricks Free Edition - Newly Announced
Lecture 14 Databricks Overview
Lecture 15 Refer Resources Within Databricks
Lecture 16 Databricks Compute - All The Types
Section 4: Unity Catalog - The Complete Guide
Lecture 17 What is Unity Catalog?
Lecture 18 Evolution With Unity Catalog
Lecture 19 Managed VS External Tables
Lecture 20 Unity Catalog Volumes
Lecture 21 Managed and External Volumes
Lecture 22 DBUTILS - Databricks OS Module
Section 5: Big Data With Apache Spark
Lecture 23 PySpark Transformations - Silver Layer
Lecture 24 Structured Queries With SparkSQL
Lecture 25 PySpark UDF For Custom Functions
Section 6: Databricks Lakehouse Foreign Objects
Lecture 26 Work with Databricks Files
Lecture 27 Databricks Lakehouse Federation
Lecture 28 Foreign Catalogs and Foreign Tables
Section 7: AUTOLOADER - Spark Structured Streaming
Lecture 29 What is Spark Streaming?
Lecture 30 Autoloader - what's that?
Lecture 31 Autoloader Complete Architecture
Lecture 32 The power of Autoloader
Lecture 33 Idempotency with Autoloader
Lecture 34 Schema Evolution with Autoloader - Rescued Data
Lecture 35 Schema Evolution with Autoloader - AddNewColumns
Lecture 36 Incremental Load with COPY INTO
Lecture 37 The power of COPY INTO
Section 8: Databricks SQL Warehouse
Lecture 38 Databricks SQL : a sneak-peek
Lecture 39 What is Databricks SQL Warehouse?
Lecture 40 Databricks SQL Editor
Lecture 41 Parametrized Queries in Databricks SQL
Lecture 42 SQL Query Snippets - Reuse your code
Lecture 43 Common Table Expressions - CTEs
Lecture 44 Query Scheduling
Lecture 45 Query Profile for Monitoring
Lecture 46 Query Cache - Boost Query Performance
Lecture 47 SQL Alerts - Triggers
Lecture 48 Databricks Genie
Lecture 49 Databricks SQL Dashboards
Section 9: Orchestration With Lakeflow Jobs
Lecture 50 What are Lakeflow Jobs?
Lecture 51 Build your first Lakeflow Job
Lecture 52 Conditionals in Jobs
Lecture 53 Control Flow using ForEach Task
Lecture 54 Dynamic Value Reference and Tasks Values
Lecture 55 Quota Limit Exceed Error
Lecture 56 Set and Get Values in Jobs
Lecture 57 SQL rows as output
Lecture 58 SQL First Row as output
Lecture 59 ForEach with SQL Rows
Lecture 60 Passing Large Array With Notebook
Lecture 61 Large Array With SQL Table
Lecture 62 Schedules and Triggers
Lecture 63 Computes For Jobs
Lecture 64 Jobs Monitoring
Lecture 65 Jobs Notification
Section 10: DELTA LIVE TABLES - Lakeflow Declarative Pipelines
Lecture 66 What is DLT - Delta Live Tables?
Lecture 67 DLT Code Editor - New Environment
Lecture 68 Create Streaming Table
Lecture 69 Create Materialized View
Lecture 70 Create Streaming Views
Lecture 71 Build your first DLT pipeline
Lecture 72 Delta Live Table with Autoloader
Lecture 73 DLT Append Flow API
Lecture 74 DLT Auto CDC Flow API
Lecture 75 Slowly Changing Dimension Type 1
Lecture 76 Slowly Changing Dimension Type 2
Lecture 77 Data Quality with DLT Expectations
Lecture 78 Filter out Corrupted Data
Lecture 79 Parametrize your DLT Pipelines
Lecture 80 DLT End-To-End Project
Lecture 81 DLT Pipeline Modes
Lecture 82 Orchestrate your DLT Pipelines
Lecture 83 Monitor your DLT pipelines
Section 11: Unity Catalog User Defined Functions
Lecture 84 What are Unity Catalog Functions?
Lecture 85 What are Scalar Functions?
Lecture 86 Scalar Functions with SQL
Lecture 87 Scalar Functions with Python
Lecture 88 User Defined Table Functions - UDTFs
Lecture 89 Create custom UDTFs
Section 12: Data Access Control and Governance
Lecture 90 Why do we need Data Governance?
Lecture 91 Data Discoverability
Lecture 92 Track Data Quality
Lecture 93 Share your Data with Delta Sharing
Lecture 94 Data Access Control - Non negotiable
Lecture 95 Dynamic Data Masking
Lecture 96 Row Level Security - RLS
Section 13: Build Databricks Applications
Lecture 97 What is Databricks Apps?
Lecture 98 Get started with your first Databricks App
Section 14: Delta Lake Optimization
Lecture 99 Let's talk about this
Lecture 100 OPTIMIZE Command - Coalesce partitions
Lecture 101 ZORDERING - Collocate your data
Lecture 102 Liquid Clustering - Say Good Bye To Partitions
Lecture 103 Data Versioning with Delta Lake
Lecture 104 Time Traveling with Delta Lake - UNDO
Lecture 105 VACUUM Command - Clear the MESS
Lecture 106 CTAS - Copy Table As Select
Lecture 107 Deep Clone Your Data
Lecture 108 Shallow Clone is also GOOD
Section 15: YOUR NEXT STEPS
Lecture 109 All The Best
Anyone who WANTS to become a DATABRICKS DATA ENGINEER
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