Databricks Associate Skill Builder -- Exam Prep Course in Chennai

825 Ratings

Build a strong foundation in modern Data, Analytics, and AI technologies with Edubrights’ Databricks Associate Skill Builder Training in Chennai. This course is designed for students, freshers, aspiring data professionals, software developers, and working professionals who want to develop practical Databricks skills and prepare for entry-level roles in the data ecosystem.

Gain hands-on experience in Databricks Lakehouse fundamentals, Apache Spark basics, SQL analytics, data engineering workflows, machine learning concepts, and cloud-based data processing through real-world projects and guided practical sessions.

Key Highlights:

✅ Beginner-Friendly Databricks Learning Path

✅ Real-Time Projects & Industry-Oriented Practical Training

✅ Live Instructor-Led Sessions by Certified Databricks Experts

✅ Hands-On Training with Databricks Lakehouse Platform

✅ Apache Spark Fundamentals & Distributed Data Processing

✅ SQL Analytics, Data Exploration & Reporting Techniques

✅ Data Engineering & ETL Workflow Fundamentals

✅ Introduction to Machine Learning & AI Concepts

✅ Delta Lake Fundamentals & Modern Data Architecture

✅ Certification Readiness & Skill Assessment Activities

✅ Resume Building, Portfolio Development & Mock Interview Preparation

✅ Career Guidance & Placement Assistance

✅ Flexible Online, Classroom & Weekend Training Options

✅ Corporate Training for Data & Analytics Teams

Develop job-ready Databricks skills and build a strong foundation for careers in Data Engineering, Analytics, Machine Learning, and Cloud Data Technologies.

Call Course Advisor

₹19999

₹45000

Enroll Now View Syllabus

Case Studies and Projects

Hours of Training

20+

Placement Assurance

100%

Expert Support

Yes

Support & Access

Lifetime

CertificationCertification

Yes

Skill Level

All

Language

All

Course Objectives

1 Understand Databricks Lakehouse Platform

This objective helps learners understand the Databricks Lakehouse architecture, including data storage, processing, and analytics in one unified system.

2 Master Data Engineering Concepts

Learn how to build, manage, and optimize data pipelines using ETL processes on large-scale data systems.

3 Work with Apache Spark in Databricks

Gain hands-on knowledge of Apache Spark for distributed data processing, transformations, and analytics.

4 Build End-to-End Data Pipelines

Understand how to create real-time and batch data pipelines using Databricks workflows.

5 Learn Data Analytics and Visualization

Develop skills to analyze processed data and create meaningful insights for business decision-making.

6. Prepare for Databricks Associate Level Certification

Build the essential knowledge required to move toward Databricks Associate Data Engineer certification.

Popular Techniques Covered in This Course

1. Databricks Workspace Usage

2. Basic PySpark Programming

3. SQL for Data Analysis

4. Data Ingestion Basics

5. ETL Process Understanding

6. Data Cleaning Techniques

7. Introduction to Delta Lake

8. Batch Data Processing

9. Basic Streaming Concepts

10. Certification Exam Basics

Get Hands-on Knowledge about Real-Time Projects

Project 1

1. Sales Data Analysis Project

Analyze sales data to find trends and business insights.

Project 2

2. Customer Data Cleaning Pipeline

Build a pipeline to clean and organize customer data.

Project 3

3. Simple Fraud Detection Model

Identify unusual transactions using basic rules and logic.

Project 4

4. Retail Data ETL Project

Move data from source to target using ETL workflow.

Project 5

5. Order Processing System

Track and process online orders using Databricks.

Key Features

Edubrights offers Databricks Associate Skill Builder Training in virtual mode with expert trainers. Here are the key features,

40 Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 500+ Batches

Certification Guidance

Curriculum

Module 1: Exam Structure & Study Strategy

Databricks Associate Data Engineer exam: domains, question count, and passing score
Study plan design: 4-week schedule balancing concepts, practice, and revision
Exam environment: proctoring requirements, allowed resources, and time management
Identifying knowledge gaps: self-assessment quiz across all exam domains

Module 2: Databricks Lakehouse Platform Domain

Lakehouse benefits: concurrency, reliability, and BI + ML on a single platform
Cluster types and use cases: All-Purpose, Jobs, and SQL warehouse selection
Databricks Runtime versions: difference between DBR, ML Runtime, and Photon
Practice questions: 20 lakehouse platform domain questions with explanations

Module 3: ELT with Apache Spark Domain

Spark transformations vs actions: understanding lazy evaluation for exam questions
DataFrame operations: filter, join, groupBy -- common exam question patterns
Spark SQL: writing correct multi-table queries under exam time pressure
Practice questions: 25 Spark ELT questions covering common trick scenarios

Module 4: Incremental Data Processing Domain

Auto Loader: file discovery, schema inference, and checkpoint management
Structured Streaming: triggers, watermarks, and output modes for exam
MERGE INTO: upsert pattern syntax and common exam edge cases
Practice questions: 20 incremental processing questions with detailed solutions

Module 5: Production Pipelines Domain

Delta Live Tables: expectations, pipeline modes, and table types for exam
Databricks Workflows: task dependencies, retries, and notification settings
Job clusters vs All-Purpose clusters: cost and isolation trade-offs
Practice questions: 20 production pipeline questions with answer walkthroughs

Module 6: Data Governance Domain

Unity Catalog hierarchy: metastore, catalog, schema, table -- exam-level detail
GRANT syntax: table, schema, and catalog-level permissions for exam scenarios
Dynamic views and row filters: column masking patterns tested in the exam
Practice questions: 15 governance and security questions with full explanations

Module 7: Full Mock Exam -- Attempt 1

Mock exam 1: 45 timed questions simulating real exam difficulty and format
Answer review session: detailed explanation for every correct and incorrect answer
Weak area identification: mapping wrong answers to specific knowledge domains
Revision checklist: prioritised topics to revisit before the second mock

Module 8: Full Mock Exam -- Attempt 2 & Final Revision

Mock exam 2: 45 fresh timed questions with increased scenario complexity
Comparison analysis: tracking score improvement from mock 1 to mock 2
Last-mile revision: 50 high-frequency flashcard concepts for exam day
Exam day strategy: time allocation, flagging questions, and review techniq

Receive Training From Our Skilled and Effective Trainers

Experience in the Industry Gain expertise from Azure-certified data engineers who have built cloud data platforms using Azure Databricks, ADLS Gen2, Azure Data Factory, and Azure Synapse for enterprises on the Microsoft Azure ecosystem.

Backgrounds at the Top Our Azure Databricks trainers have delivered cloud data engineering projects at financial institutions, retail companies, and healthcare organisations leveraging the full Microsoft Azure data platform stack.

Clear & Effective Teaching Azure Databricks workspace setup, ADLS Gen2 integration, Delta Lake, ADF orchestration, Structured Streaming, Azure ML integration, and Unity Catalog governance are taught with real Azure data platform examples.

Hands-On Learning Focus Students build Azure data pipelines, work with Delta Lake on ADLS Gen2, orchestrate notebooks with ADF, stream from Event Hubs, and configure Unity Catalog through structured hands-on lab exercises.

Up-to-Date Knowledge Trainers keep content current with the latest Azure Databricks releases, Microsoft Fabric integration considerations, Unity Catalog on Azure enhancements, and evolving Azure data platform best practices.

Databricks Associate Skill Builder Certification

Our institution offers a recognized Databricks Associate Skill Builder certification that validates your ability to design and prototype professional user interfaces efficiently. This certification enhances your design portfolio and prepares you for collaborative projects in real-world environments. Gain practical skills through hands-on training and assessments.