Courses/Big Data & Analytics

DataCore Engineering

Advanced Databricks training program focused on big data processing, Apache Spark, Azure Databricks, and modern data engineering workflows. Covers ETL pipelines, cloud integration with Azure, and real-world data projects with hands-on labs and live mentorship.

4.7(80+ ratings)
800 students
English
Last updated 12/2024
Support Me Techs Team

Created by

Support Me Techs Team

Professional Certification Included

Successfully complete the DataCore Engineering program to earn an industry-recognized certificate of completion.

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Career Milestone

Guaranteed Outcomes

People don’t buy lectures — they buy results.

Azure Data Engineering Project

Build and deploy a complete data pipeline using Azure Databricks, ADLS Gen2, and Azure Data Factory.

Live Mentorship

Hands-on training with expert support and real-time doubt resolution.

Industry Use Cases

Work on real-world big data scenarios aligned with enterprise environments.

Performance Optimization

Learn to optimize Spark jobs and manage cluster performance efficiently.

Specific Skills You'll Master:

Introduction to Databricks
Apache Spark Fundamentals
DataFrames & RDDs
ETL Pipeline Development
Delta Lake & Data Warehousing
Streaming Data Processing
Optimization & Performance Tuning
Azure Databricks (Native Azure Integration) & Workspace Setup
Integration with Azure Data Lake Storage Gen2 (ADLS Gen2)
Authentication with Azure Active Directory (Entra ID)
Orchestration using Azure Data Factory (ADF)
Unity Catalog in Azure Databricks
Cluster Configuration & Cost Optimization on Azure
End-to-End Azure Data Engineering Project
Interview Preparation
Course preview
View Syllabus
Duration
8-10 Weeks
Lectures
24 Modules
Level
Intermediate
Certificate
Included

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Technologies Covered

DatabricksApache SparkPythonSQLDelta LakeAzure DatabricksAzure Data LakeAzure Data FactoryAzure Active Directory

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

350+

Rating

4.6

Courses

5

Professional Journey

7+ years of experience in big data engineering, Azure cloud integration, and analytics solutions

Tech Stack Expertise

DatabricksSparkAzureBig DataETLData Engineering

Major Milestones

  • Azure Data Pipeline Project
  • Spark Data Processing
  • Delta Lake Implementation
  • Azure Databricks Deployment

Course Content & Outcomes

10 lectures • 8-10 Weeks total length

Build scalable data pipelines using Spark

01

Process large datasets with Databricks

02

Design and implement ETL workflows

03

Work with Delta Lake and modern data architectures

04

Deploy Databricks solutions on Azure cloud

05

Integrate Databricks with ADLS Gen2 and ADF pipelines

06

Implement secure access using Azure Active Directory

07

Optimize clusters and manage costs in Azure Databricks

08

Complete an end-to-end Azure-based data engineering project

09

Prepare for data engineering job roles

10

Requirements

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