Master Databricks: Data Engineer Professional Certification: Build production-ready lakehouse pipelines and advance your data engineering career

Soumyadeep Dey

$29.99

Video Sep 2026 32hrs 21mins 1st Edition

Soumyadeep Dey

$29.99

Video Sep 2026 32hrs 21mins 1st Edition

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Key benefits

End-to-end Databricks coverage across lakehouse design, pipelines, security, and governance
Career preparation aligned with Associate and Professional data engineering certification goals
Project-based progression using Customer 360 data across ingestion, processing, and analytics

Description

Modern data teams need a unified way to ingest, transform, analyze, stream, secure, and govern information. This course builds practical understanding of the Databricks Data Intelligence Platform and the lakehouse architecture used for data engineering across Azure and AWS. Learning begins with workspaces, compute, notebooks, Unity Catalog, Delta tables, and data lifecycle foundations. It progresses through connectors, federation, Auto Loader, COPY INTO, batch and streaming with Spark, bronze-silver-gold design, Databricks SQL, Lakebase, Lakeflow Jobs, declarative pipelines, data sharing, networking, access controls, governance, and CI/CD. A Customer 360 scenario using CRM and ERP data connects ingestion, transformation, orchestration, and analytics. Guided demonstrations and exercises build confidence in selecting compute, managing tables, tuning processing, configuring pipelines, protecting data, and operating governed solutions. The coverage also supports preparation for the Databricks Certified Data Engineer Associate and Professional exams. By the end of this course, you will be able to design and implement reliable Databricks pipelines for batch, streaming, warehousing, and governed analytics.

Who is this book for?

Designed for data engineers, data architects, data analysts, database administrators, solution architects, technical managers, project managers, and platform managers who want end-to-end Databricks capability. Learners should be comfortable with Python, PySpark, SQL, and basic Azure cloud concepts. It also suits professionals preparing for Databricks Certified Data Engineer Associate or Professional certification.