Corporate Technical Training · Modern Data Platforms

Data Engineering with Microsoft Fabric, Databricks & PL/SQL

Develop practical skills for data ingestion, transformation and processing across modern data platforms and Oracle environments.

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Bring Microsoft Fabric, Databricks and Oracle together in one reliable data flow.

  • Who is this program for?

    Data engineers and database developers, Oracle database professionals working with pipelines, cloud data platform and analytics engineers, and IT teams modernising data infrastructure.

  • What you will build?

    Lakehouse, warehouse and pipeline solutions in Microsoft Fabric, distributed processing in Databricks, and PL/SQL packages that automate Oracle operations.

  • How you learn?

    Instructor-led classroom or virtual training with platform-based labs and an end-to-end integration project.

  • Why Primo

    Learn how the three platforms fit together from Bluechip Technologies professionals, and practise troubleshooting pipeline issues across them.

SQL, database fundamentals and basic programming knowledge are recommended. Integrate data engineering processes across the platforms your organisation runs.

Program Features

Project-Based Learning

Complete an end-to-end enterprise data engineering project across Fabric, Databricks and Oracle.

Instructor-led Training

Build capability through guided sessions, practical exercises and business-relevant scenarios.

Practical Capabilities

Build ingestion and transformation workflows, process data at scale and automate Oracle operations with PL/SQL.

Industry-Aligned Curriculum

Platform architecture; Fabric lakehouses and pipelines; Databricks and Spark; PL/SQL packages; orchestration and quality.

  1. Enterprise Data Engineering Architecture and Platform Integration
  2. Microsoft Fabric: Lakehouses, Warehouses, Data Pipelines and Dataflows
  3. Databricks: Workspaces, Notebooks, Spark and Distributed Data Processing
  4. Oracle PL/SQL: Procedures, Functions, Packages and Automated Data Operations
  5. Data Integration, Transformation, Orchestration and Quality Management
  6. End-to-End Enterprise Data Engineering Project

Connect your data platforms with the skills to run them well.

Discuss the platforms in your environment and shape a training scope around them.

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