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General Demo

Duration
1 Hour
Level
All
Cost
FREE (1 Session)

Key Outcomes

Book Your Free Demo

Register for a free 1-on-1 demo session.

Selected Course

General Demo

Duration
1 Hour
Level
All
Cost
FREE (1 Session)

Key Outcomes

Courses/Data Engineering

Databricks & Spark

An intensive 8-week Data Engineering program centred on the Databricks Lakehouse Platform. Master Apache Spark, Delta Lake, ETL pipelines, data streaming with Structured Streaming & Kafka, and modern medallion architecture — preparing you for the Databricks Certified Data Engineer exam and real-world big data engineering roles.

4.8(17+ ratings)
170 students
English
Last updated 12/2024
Support Me Techs Team

Created by

Support Me Techs Team

Course preview 1
2
View Syllabus
Duration
8 Weeks
Lectures
24 Modules
Level
Intermediate to Advanced
Certificate
Included

Certification Ready

Graduate fully prepared for the Databricks Certified Data Engineer Associate exam with practice tests included.

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Career Milestone

Guaranteed Outcomes

People don’t buy lectures — they buy results.

Certification Ready

Graduate fully prepared for the Databricks Certified Data Engineer Associate exam with practice tests included.

Lakehouse Architecture

Master the medallion architecture pattern used by Fortune 500 companies to build their modern data platforms.

Real-Time Pipeline

Build a fully functioning Kafka-to-Delta-Lake streaming pipeline as your capstone project.

Specific Skills You'll Master:

Apache Spark fundamentals: RDDs, DataFrames, Spark SQL
Databricks workspace, clusters, and notebooks
Delta Lake: ACID transactions, time travel, schema evolution
Medallion architecture: Bronze → Silver → Gold layers
ETL pipeline design and orchestration with Databricks Workflows
Real-time streaming with Structured Streaming & Apache Kafka
Data governance with Unity Catalog
Performance tuning: partitioning, caching, Z-ordering
Integration with AWS S3, Azure ADLS, and cloud storage
Databricks Certified Data Engineer Associate exam prep

Technologies Covered

Apache SparkDatabricksDelta LakeApache KafkaPythonSQLAWS S3Azure ADLSUnity Catalog

How You'll Learn

Live Sessions

Join expert-led classes via Zoom / Meet. Real-time doubt clearing.

Session Recordings

HD recordings of every session.

Hands-on Work

Weekly assignments and industry-grade portfolio projects.

Weekly Roadmap

Structured learning cadence to ensure consistent progress.

Meet Your Instructor

Support Me Techs Team
Top Rated

Support Me Techs Team

Senior Technical Mentor

Learners

300+

Rating

4.8

Courses

3

Professional Journey

8+ Years in Big Data & Data Engineering

Tech Stack Expertise

Apache SparkDatabricksDelta LakeKafkaPythonSQLAWS S3Azure ADLS

Major Milestones

  • Real-time Kafka to Delta Lake Pipeline
  • Lakehouse Analytics Platform
  • ETL Orchestration with Databricks Workflows

Course Content & Outcomes

7 lectures • 8 Weeks total length

Build scalable data pipelines using Apache Spark on Databricks

01

Implement the medallion (Bronze/Silver/Gold) lakehouse architecture

02

Use Delta Lake for reliable, ACID-compliant data storage

03

Stream real-time data using Structured Streaming and Kafka

04

Design and orchestrate complex ETL workflows

05

Tune Spark jobs for performance and cost efficiency

06

Pass the Databricks Certified Data Engineer Associate exam

07

Requirements

  • Basic understanding of programming concepts
  • A computer with internet access
  • No prior professional experience required
  • Passion for learning and building!

Secure Your Spot

Fill in your details to begin your journey.

Selected Course

Databricks & Spark

Duration
8 Weeks
Level
Intermediate to Advanced
Certificate
Included

Key Outcomes

Certification Ready
Lakehouse Architecture
Real-Time Pipeline

Book Your Free Demo

Register for a free 1-on-1 demo session.

Selected Course

Databricks & Spark

Duration
8 Weeks
Level
Intermediate to Advanced
Cost
FREE (1 Session)

Key Outcomes

Certification Ready
Lakehouse Architecture
Real-Time Pipeline