Implement Data Engineering Solutions Using Azure Databricks (DP-750) Course
Our Implement Data Engineering Solutions Using Azure Databricks DP-750 Course is a 4-day, instructor-led Microsoft course for data engineers who want to build, secure and operate production data engineering solutions using Azure Databricks.
The course covers Databricks environments, Unity Catalog, data ingestion and transformation, lakehouse data modelling, data quality, pipelines, Lakeflow Jobs, lifecycle management and workload optimisation, supporting preparation for Microsoft Certified: Azure Databricks Data Engineer Associate.
Course Schedule
4 days
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8:00am - 4:00pm
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Online Live
£1,527 + VAT
4 days
9:00am - 5:00pm
Online Live
£1,527 + VAT
4 days
8:00am - 4:00pm
Online Live
£1,527 + VAT
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Course Code: DP-750
Duration: 4 days
Course Overview
Learn to implement scalable data engineering solutions using Azure Databricks and lakehouse architecture, from environment setup and governance through data processing, pipeline deployment and production monitoring.
Target Audience
This course is intended for data engineers who work with SQL and Python and need to design, build and maintain enterprise data pipelines and lakehouse workloads in Azure Databricks.
Course Objectives
- Configure Azure Databricks environments and compute.
- Secure and govern data using Unity Catalog.
- Ingest, transform and model data using SQL and Python.
- Build scalable lakehouse data pipelines.
- Deploy, monitor and optimise production workloads.
- Integrate Databricks with core Azure services.
Course Content
Module 1: Set up Azure Databricks
- Architecture, integrations and compute
- Unity Catalog objects
Module 2: Secure and govern Unity Catalog
- Access control and governance
Module 3: Prepare and process data
- Data modelling and ingestion
- Transformation, loading and data quality
Module 4: Deploy and maintain data workloads
- Data pipelines and Lakeflow Jobs
- Development lifecycle
- Monitoring, troubleshooting and optimisation
Course Prerequisites
A basic understanding of data and analytics concepts is recommended. Experience with SQL, Python, Databricks, cloud storage and Git is helpful.
Test Certification
Recommended preparation for Exam DP-750: Implementing Data Engineering Solutions Using Azure Databricks, leading to Microsoft Certified: Azure Databricks Data Engineer Associate.
Note - This course is delivered via our training partner Global Knowledge.
Public Schedule
Private Virtual Training (Teams / Zoom)
N/A
Private Onsite Training (at your offices)
N/A
Note
All prices exclude VAT at 20%.
VAT registration number: 450 4347 14
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