Descriptions
Databricks Certified Data Engineer Associate – Bootcamp, Are you ready to become a DATABRICKS DATA ENGINEER [WITH UPDATED 2025 SYLLABUS]? 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. You will gain strong hands-on experience with Lakehouse Architecture, Lakehouse Federation, and Lakeflow Connect to understand how Databricks handles structured and unstructured data, and how Lakehouse Federation lets you query external sources seamlessly. You’ll learn to create Databricks Asset Bundles for CI/CD, manage data and permissions with Unity Catalog, Metastore, Volumes, and UDFs, and master PySpark for Big Data with real use cases. The course covers building real-time pipelines using Structured Streaming and Autoloader, deep dives into Delta Lake Architecture including ACID transactions, time travel, schema evolution, and performance tuning, and teaches you to use Databricks SQL Warehouses for parameterized queries, dashboards, and alerts. You’ll also work with LakeFlow Declarative Pipelines, Delta Live Tables for robust pipelines and data quality checks, Databricks Git Folders for repo management, and orchestrate ETL with LakeFlow Jobs. Security and sharing topics include row-level security, data masking, and Delta Sharing for secure collaboration.
What you’ll learn
- [UPDATED JULY 2025 SYLLABUS] – All the important topics you need to PASS the Certification
- Databricks Asset Bundles and Databricks Repos for CI/CD workflows
- 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
Who this course is for
- Anyone who WANTS to become a DATABRICKS DATA ENGINEER
Specificatoin of Databricks Certified Data Engineer Associate – Bootcamp
- Publisher : Udemy
- Teacher : Ansh Lamba JSR
- Language: English
- Level : All Levels
- Lectures : 173
- Duration : 21 hours and 49 minutes
Content of Databricks Certified Data Engineer Associate – Bootcamp
Requirements
- Basic SQL knowledge will be required
- Basic Python programming knowledge will be required
- No DATABRICKS knowledge is required – Everything is covered from SCRATCH
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720
The 2026/5 version has increased the number of lessons by 36 and the duration increased by 3 hours 8 minutes compared to 2025/11.
Download Links
Password File(s): www.downloadly.ir
File size
15.34 GB
