Databricks Training Course

Azure Databricks is a cloud-based collaborative platform that supports big data analytics and machine learning using Apache Spark and the Microsoft Azure ecosystem.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to design, build, and deploy machine learning models using Azure Databricks for financial use cases.

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

• Build and train machine learning models using financial data in Azure Databricks.
• Use MLflow to track experiments, manage models, and deploy solutions.
• Apply models to detect anomalies, assess risks, or forecast trends in finance.
• Integrate ML models into scalable pipelines for continuous evaluation.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Databricks serves as a unified Lakehouse platform that integrates Spark, Delta Lake, and governance capabilities via Unity Catalog to facilitate scalable data engineering and analytics workflows.

This instructor-led, live training session (available online or onsite) targets intermediate-level technology managers with a background in data engineering who aim to migrate complex procedural OLAP logic to a Lakehouse architecture. The curriculum leverages Databricks, Spark, Delta Lake, Unity Catalog, and native workflows to achieve this transition.

Upon completing this training, participants will be equipped to:

• Articulate the Lakehouse architecture and the Bronze→Silver→Gold (Medallion) pattern.
• Convert stored-procedure logic into Spark DataFrame implementations and notebooks.
• Architect and execute incremental ingestion, merge, and optimization routines utilizing Delta Lake.
• Construct end-to-end orchestrated pipelines using Databricks Workflows, alongside version control, testing protocols, and governance measures.

Course Format

• Intensive, instructor-led sessions featuring focused demonstrations and detailed explanations.
• Daily hands-on labs that utilize representative datasets and migration exercises.
• Guided code reviews, performance tuning clinics, and practical workflow orchestration experience.

Course Customization Options

• This course can be tailored to fit your specific environment, datasets, and governance requirements; please contact us to arrange customization.

Databricks is a unified analytics platform designed for big data and machine learning in collaborative environments.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data analysts and financial professionals who wish to perform large-scale data analysis using Databricks in finance-related use cases.

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

• Use Databricks notebooks to query and analyze financial datasets.
• Clean and transform raw financial data for reporting and insights.
• Create dashboards and visualizations for performance tracking.
• Collaborate with team members in real time on shared notebooks.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.