Databricks Training in Vancouver

Databricks Training in Vancouver, Canada

The course provides hands-on knowledge of building scalable data engineering, analytics, and machine learning solutions using the Databricks Lakehouse Platform.

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Databricks Training is a professional training program delivered by ProgNXT in Vancouver, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Databricks Training course with hands-on, instructor-led sessions. The Databricks Training provides hands-on knowledge of building scalable data engineering, analytics, and machine learning solutions using the...

Expert Panel

Designed and delivered by the ProgNXT Data Analysis Expert Panel — a vetted team of industry professionals with 12+ years of hands-on experience in Excel, SQL, Python, Tableau, and Power BI

ProgNXT Data Analysis Expert Panel

Course Code: IUF49
21 Hrs
Last Updated: April 2026

Course Rating5/5

The Databricks Training provides hands-on knowledge of building scalable data engineering, analytics, and machine learning solutions using the Databricks Lakehouse Platform. Participants will learn how to use Apache Spark on Databricks, manage data with Delta Lake, build pipelines, perform analytics, and collaborate effectively using notebooks.

Welcome to the official Databricks Training certification program in Vancouver, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic knowledge of SQL
Familiarity with Python, Scala, or R (preferred)
Understanding of data warehousing and analytics concepts
Prior exposure to big data concepts is helpful but not mandatory

By the end of this training, participants will be able to:

Understand the Databricks Lakehouse architecture
Use Databricks notebooks for data engineering and analytics
Build and optimize Spark-based data pipelines
Manage reliable data using Delta Lake
Perform data transformations and analytics at scale
Collaborate and deploy workloads in Databricks

Databricks workspace and notebooks
Apache Spark fundamentals
Data ingestion and transformation
Delta Lake data management
Performance optimization
Collaborative data engineering workflows

Databricks architecture and components
Spark transformations and actions
Delta Lake concepts
Pipeline design and optimization
Security and governance basics

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

Introduction to Databricks & Lakehouse

What is Databricks and the Lakehouse concept
Lakehouse vs data lake vs data warehouse
Databricks architecture overview

Databricks Workspace & Environment

Databricks workspace overview
Clusters and compute management
Notebooks and collaboration
Workspace security basics

Apache Spark Fundamentals on Databricks

Spark architecture (Driver, Executors)
RDDs vs DataFrames vs Datasets
Spark execution model
Lazy evaluation and transformations

Data Ingestion & Connectivity

Ingesting data from files and cloud storage
Reading structured and semi-structured data
Connecting to databases and external sources
Incremental and batch ingestion strategies

Data Transformation with Spark

DataFrame and SQL APIs
Data cleansing and enrichment
Joins, aggregations, and window functions
Handling large-scale transformations

Delta Lake Fundamentals

What is Delta Lake and why it matters
ACID transactions in data lakes
Schema enforcement and evolution
Time travel and versioning
Handling deletes, updates, and merges

Data Pipelines & ETL/ELT

Building end-to-end data pipelines
Medallion architecture (Bronze, Silver, Gold)
Job scheduling and orchestration
Error handling and monitorin

Performance Optimization

Partitioning and file optimization
Caching and persistence
Query optimization techniques
Cluster sizing and tuning

Analytics & Reporting

Using Databricks SQL
Creating views and dashboards
Ad-hoc analytics
Integrating with BI tools

Security & Governance

Authentication and access control
Data permissions and table access
Secrets management
Data governance best practices

Introduction to Machine Learning on Databricks

Overview of ML workflows
Feature engineering basics
Model training and evaluation
Introduction to MLflow

Hands-on Exercises

Summary and Conclusion

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on: Daily quizzes, mock questions and query resolution. Group Discussion and Case Study Discussion. Assessment will be through hands-on labs, quizzes, and hands-on exercises.

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Databricks Training Events in vancouver

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

25th Oct 2026→27th Oct 2026

📍 Vancouver, Canada

26th Oct 2026→28th Oct 2026

November 2026

📍 Vancouver, Canada

2nd Nov 2026→4th Nov 2026

🌐 Online Instructor-Led

2nd Nov 2026→4th Nov 2026

📍 Vancouver, Canada

20th Nov 2026→22nd Nov 2026

🌐 Online Instructor-Led

26th Nov 2026→28th Nov 2026

December 2026

📍 Vancouver, Canada

11th Dec 2026→13th Dec 2026

🌐 Online Instructor-Led

11th Dec 2026→13th Dec 2026

🌐 Online Instructor-Led

20th Dec 2026→22nd Dec 2026

📍 Vancouver, Canada

21st Dec 2026→23rd Dec 2026

Events for other courses in Vancouver, Canada

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Databricks Training in Vancouver