Course Overview
This mentor-led course introduces the core principles of the lakehouse architecture and how it enables organisations to unify data engineering, analytics, and AI workloads on a single platform. Through practical scenarios, learners explore how Databricks simplifies data processing, storage, and governance across modern data environments.
Participants will gain hands-on experience with Delta Lake, Apache Spark, and Databricks workspace tools to build reliable, scalable pipelines. The course focuses on implementing structured and unstructured data workflows, enabling high-performance analytics while maintaining data quality and consistency.
By the end of the programme, learners will understand how to design lakehouse solutions that support both business intelligence and advanced analytics. Emphasis is placed on performance optimisation, collaboration, and governance to ensure enterprise-ready data platforms.
Hands-On Learning
Build lakehouse pipelines and analytics workflows using Databricks in guided labs.
Mentor-Led Sessions
Mentor-led sessions focused on practical scenarios, lakehouse design, and real-world use cases.
Career-Ready Skills
Develop job-ready lakehouse and modern data platform engineering skills.
Learning Outcomes
Understand lakehouse architecture and its benefits
Build and manage data pipelines on Databricks
Process and analyse large-scale datasets
Integrate analytics and AI workloads
Implement governance and security practices
Optimise performance in lakehouse environments
Prerequisites
Basic knowledge of data engineering or analytics
Familiarity with SQL and data processing concepts
Understanding of cloud platforms helpful
Detailed Syllabus
Organized by professional domains with comprehensive coverage
Topics Covered:
- •What is a lakehouse
- •Differences between data lakes and warehouses
- •Benefits of unified data platforms
- •Enterprise use cases
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Credential
Certificate of Completion
On successful completion of Databricks Lakehouse Fundamentals, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
A lakehouse combines the scalability of data lakes with the performance and structure of data warehouses.
Ready to Start Your Learning Journey?
Take the next step in your professional development