Databricks Associate Data Engineer Certification Course in Chennai

Module 1: Certification Roadmap & Platform Orientation

• Associate Data Engineer exam: 45 questions, 90 minutes, 70% passing threshold
• Five exam domains: weights, sub-topics, and recommended depth of knowledge
• Databricks workspace fundamentals: notebooks, clusters, repos, and DBFS
• Setup guide: Databricks Community Edition for free hands-on practice

Module 2: ELT with Spark & Delta Lake

• Reading and writing data: CSV, JSON, Parquet, and Delta format syntax
• Essential transformations: filter, select, withColumn, join, and groupBy
• Writing to Delta tables: overwrite, append, and merge insert patterns
• Practice labs: ELT exercises on Indian FMCG supply chain datasets

Module 3: Incremental Processing & Streaming

• Auto Loader: cloud file ingestion with schema inference and rescue data column
• Structured Streaming: readStream, writeStream, and trigger modes explained
• Checkpointing: ensuring fault-tolerant streaming pipeline restarts
• MERGE INTO: full syntax and upsert patterns most frequently tested in exam

Module 4: Delta Live Tables

• DLT syntax: @dlt.table and @dlt.expect decorators for pipeline definition
• Streaming tables vs materialised views: choosing the right table type
• Pipeline modes: development vs production and continuous vs triggered
• Hands-on lab: building a Bronze-Silver-Gold DLT pipeline on sample data

Module 5: Production Workflows

• Databricks Workflows: creating multi-task jobs with notebook and DLT tasks
• Task dependencies: linear, fan-out, and fan-in dependency configurations
• Retry policies and timeout settings: building resilient production pipelines
• Alerting: email and webhook notifications for job success and failure events

Module 6: Data Governance with Unity Catalog

• Unity Catalog hierarchy: metastore -> catalog -> schema -> table -> column
• Creating and querying objects: three-level namespace syntax in SQL
• Permissions: GRANT, REVOKE, and SHOW GRANTS syntax tested in certification
• Exam-focus: row filters, column masks, and audit log query patterns

Module 7: Full Mock Exam -- Attempt 1

• 45-question timed mock at Associate exam difficulty -- complete in 90 minutes
• Section-by-section answer walkthrough with concept reinforcement notes
• Tracking sheet: domain-wise score breakdown to guide revision priorities
• Lab reinforcement: hands-on exercises for the two lowest-scoring domains

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

• 45-question timed mock with completely new question set
• Exam-day checklist: system requirements, ID verification, and environment setup
• Last-day revision: 60 key facts covering the most examined concepts
• Post-certification path: Professional Data Engineer roadmap and job market

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.