
MICRO DEGREE
Databricks Data Engineering Certification
Become a professional Certified Databricks Data Engineer
in just 6 weeks!
Application closes on 17 Nov 2025
Become a professional Certified Databricks Data Engineer
in just 6 weeks!

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Reserve your spot today!
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Application closes on:17 Nov 2025
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What is in it for you?
Shape the future with Databricks Certification
Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes at the lowest price ever
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Study Materials
Study Materials
Access comprehensive study materials designed to enhance your learning experience
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Discount applicable for next 10 candidates only.
Reserve your spot today!
Basic Info
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Application closes on:17 Nov 2025
Get instant access of pre-course material!
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Top 1% Industry Experts – Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

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Curriculum
A Curriculum designed for your success
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- What is Data Engineering?
- Understanding Big Data Problems
- Overview of Data Architecture (Batch vs Streaming)
- Role of Azure Databricks in Modern Data Platforms
- Visualize a Modern Data Engineering Workflow
- Identify Components: Storage, Compute, Orchestration, Reporting
- Discussion: Traditional vs Cloud-Based Data Systems
- Azure Overview: Regions, Subscriptions, and Resource Groups
- Azure Portal Tour
- Key Azure Services for Data Engineering (Azure Storage, SQL Database, Synapse Analytics, Data Factory)
- Create a Free Azure Account
- Create Resource Group and Storage Account
- Upload Files to Blob Storage
- Explore Data Lake Gen2 Hierarchy
- What is Databricks?
- Databricks on Azure Architecture
- Workspace Components (Clusters, Notebooks, Jobs, Data)
- Databricks Runtime Versions
- Create Databricks Workspace in Azure Portal
- Explore the UI and Basic Configuration
- Run Your First Notebook ('Hello Databricks')
- Cluster Types (Standard, High Concurrency, Single Node)
- Databricks File System (DBFS) Overview
- Databricks Utilities (dbutils): Files, Widgets, Secrets
- Create and Configure a Cluster
- Upload Files into DBFS
- Access Files with %fs and dbutils.fs
- Use Widgets and Secrets in a Notebook
- Introduction to Apache Spark Ecosystem
- Spark Components (Driver, Executors, Cluster Manager)
- SparkSession and Lazy Evaluation
- RDDs vs DataFrames
- Create SparkSession
- Explore RDD and DataFrame Creation
- Perform Basic Transformations (select, filter, count)
- Examine Execution Plans with explain()
- Schema and Data Types in PySpark
- Data Transformations (Select, Filter, GroupBy, Join)
- Data Cleaning (Handling Nulls, Dates, Duplicates)
- Load Data from Azure Blob to PySpark DataFrame
- Apply Real Transformations (Filtering, Aggregation, Joins)
- Save Results as Parquet and CSV
- User Defined Functions (UDFs)
- Window Functions and Ranking
- Partitioning, Bucketing, and Repartitioning Concepts
- Create UDFs for Custom Logic
- Implement Window Functions (Top N, Running Totals)
- Partition Data and Analyze Performance
- Using SQL in Databricks
- Temporary and Global Views
- SQL Joins, Aggregations, and Built-In Functions
- Integrating SQL and PySpark Workflows
- Register Views and Run SQL Queries
- Create Analytical Queries using GROUP BY, HAVING, ORDER BY
- Combine SQL Queries with PySpark DataFrames
- What is Delta Lake and Why It’s Important
- Delta Lake Architecture and ACID Transactions
- Schema Enforcement and Evolution
- Delta Time Travel
- Convert Parquet Table to Delta Table
- Perform UPSERTs, DELETEs, MERGEs
- Use Time Travel to View Older Versions
- ETL vs ELT Explained
- Batch Ingestion Patterns
- Using Databricks Jobs for Automation
- Error Handling & Logging
- Build an ETL Pipeline: Ingest Raw Data from Azure Blob, Transform Data with PySpark, Write to Delta Tables
- Automate Pipeline with Databricks Jobs
- Connecting Databricks with Azure Data Lake, SQL DB, and Key Vault
- Overview of Azure Data Factory (ADF) and Synapse
- Power BI Integration
- Connect Databricks to Azure SQL Database (JDBC)
- Retrieve Secrets from Azure Key Vault
- Export Data from Delta → Power BI
- Monitoring Jobs and Cluster Metrics
- Caching, Repartitioning, and Data Skew
- Cost Optimization Techniques
- Track Job Performance using Spark UI
- Compare Performance with and without Caching
- Tune Cluster Configuration for Efficiency
- Data Access Control (ACLs, RBAC)
- Secure Storage Connections
- Version Control and Git Integration
- Naming Conventions & Folder Organization
- Manage Permissions for Users/Groups
- Integrate Databricks with GitHub
- Use Key Vault for Secure Secrets Management
- Scenario: Retail Company End-to-End Data Engineering Solution
- Ingest Raw CSV Data from Azure Blob Storage
- Transform Data using PySpark and SQL
- Store Processed Data in Delta Format
- Query the Results with Spark SQL
- Visualize Output in Power BI
- Deliverables: ETL Notebooks, Delta Lake Tables, Documentation & Power BI Dashboard
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Instructors

Kunal S
20+ Years, Sr. Engineering Manager, Amazon

Mujahed H
20+ Years, Ex-Microsoft, Ex-Morgan Stanley
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
Basic big data & python knowledge is required for this course.
Skills You Will Learn
Master building scalable data pipelines using Apache Spark on Databricks, leveraging transformations, joins, and aggregations with PySpark and Spark SQL.
Gain deep expertise in Delta Lake for building reliable data lakes, including upserts, time travel, schema evolution, and ACID transactions.
Develop and orchestrate ETL workflows using Databricks Jobs and Delta Live Tables, with support for dependency chaining and automated error handling.
Process streaming data in real time using Structured Streaming, managing stateful operations, watermarks, and fault tolerance at scale.
Secure and govern data using Unity Catalog, implement fine-grained access controls, and manage metadata lineage for compliance and auditing.
Optimize job performance using best practices in partitioning, caching, adaptive query execution, and Spark execution plan tuning to reduce costs and improve efficiency.
Real-World Case Studies
Learn through real-world case studies

Retail
Retail Chain's Hybrid Cloud Migration
Retail chain modernizing IT while keeping on-premises systems. Create Azure hybrid architecture for gradual migration, ensuring security and management consistency. Enable cloud-native development while maintaining legacy integration.

Finance
Global Financial Services Company: Modernizing Legacy Systems
MultiNational Bank updating core system. Implement Azure DevOps for microservices transition. Accelerate feature delivery, enhance security, and reduce technical debt.

Finance
Financial Services Data Security and Compliance
Multinational bank moving to cloud. Develop secure, compliant AWS infrastructure for sensitive data. Ensure regulatory compliance while enabling cloud migration.

for successfully completing the 'Databricks Data Engineering Certification' course conducted from 05 Oct 2025 to 16 Nov 2025
Add a Industry Recognized
Certificate To Your Resume
Industry Recognized
Certificate
Learn the best from the best

Career Advancements
Elevate your career with a respected certificate

Industry Respect
Gain credibility in the field

Networking
Connect with experts and peers

Opportunities
Attract exciting job prospects and promotions


for successfully completing the 'Databricks Data Engineering Certification' course conducted from 05 Oct 2025 to 16 Nov 2025

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Looking for help? Here are our most frequently asked questions
What is a EdYoda Micro Degree?
EdYoda Micro Degree is an online, Live classroom based short-term course, where you get Live Sessions conducted by industry experts. It is designed to help you acquire practical & job-relevant skills quickly.
How do I register for the micro degree?
To register, visit the micro degree details page and fill up the registration form and make the payment to reserve your seat before the application closing date.
What happens after I register and pay?
After successful registration and payment, you will receive a confirmation email with instructions on how to access the online micro degree classes
Are there any pre-requisites?
All you need is a PC or Laptop to attend the online live classes and your commitment of 4 weeks. Apart from that there are no prerequisite for the Micro Degree.
What if I miss a live session?
We've got you covered! The session recording will be added automatically on the classroom platform after the session is ended.
Will I get a certificate after completion?
Yes. After successful completion of curriculum you will be provided a digital certificate which you can download and share with others.

What is a EdYoda Micro Degree?
EdYoda Micro Degree is an online, Live classroom based short-term course, where you get Live Sessions conducted by industry experts. It is designed to help you acquire practical & job-relevant skills quickly.

How do I register for the micro degree?
To register, visit the micro degree details page and fill up the registration form and make the payment to reserve your seat before the application closing date.

What happens after I register and pay?
After successful registration and payment, you will receive a confirmation email with instructions on how to access the online micro degree classes

Are there any pre-requisites?
All you need is a PC or Laptop to attend the online live classes and your commitment of 4 weeks. Apart from that there are no prerequisite for the Micro Degree.

What if I miss a live session?
We've got you covered! The session recording will be added automatically on the classroom platform after the session is ended.

Will I get a certificate after completion?
Yes. After successful completion of curriculum you will be provided a digital certificate which you can download and share with others.
