Data Engineering Mastery Combo: Apache Spark (Video Course), Databricks (Video Course) & Azure Data Factory (ADF)-eBOOK

Description:
This course bundle is designed to equip data engineers with comprehensive, hands-on expertise in Apache Spark, Databricks, and Azure Data Factory (ADF). Through practical projects and real-world applications, learners will master the skills needed for advanced data processing, transformation, and integration using today’s most powerful tools.

Course Highlights:
Apache Spark: Master the fundamentals of Apache Spark, explore efficient data processing and transformation techniques, and optimize Spark applications for high performance.
Databricks: Gain deep insights into Databricks, including workspace management, Delta tables, structured streaming, Delta Live Tables (DLT), and machine learning applications in a unified data analytics environment.
Azure Data Factory (ADF): Build, schedule, and manage cloud-based data pipelines for seamless data movement and transformation. Covers ADF infrastructure, data integration, and monitoring workflows, along with key interview Q&A.

What You’ll Learn:

Apache Spark

Core concepts, architecture, and efficient data processing Spark application optimization for enhanced performance

Databricks

Unified analytics platform, workspace navigation, Delta tables, and Unity Catalog Streaming data with Spark structured streaming and advanced concepts like DLT.

Azure Data Factory (ADF)

ADF components and architecture, data ingestion, transformation, and pipeline monitoring
Manage data workflows and get interview-ready with key Q&A
Ideal for data engineers looking to boost their data engineering capabilities with Apache Spark, Databricks, and ADF, this bundle combines in-depth learning with hands-on experience, ensuring you’re job-ready for the data industry.

Why Choose This Combo?
✔️ Comprehensive, hands-on content
✔️ Lifetime access to course materials
✔️ Community support for questions and discussions