Databricks Certified Data Engineer Associate - Bootcamp
Published 7/2025
Created by Ansh Lamba JSR
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 109 Lectures ( 15h 42m ) | Size: 11.8 GB
DATABRICKS BOOTCAMP 2025 : Master PySpark, Lakeflow Jobs, Lakeflow Declarative Pipelines, Databricks Warehouse, DLT
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.
Who this course is for
Anyone who WANTS to become a DATABRICKS DATA ENGINEER
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