Databricks Training in Christchurch

Databricks is a unified Lakehouse platform that combines Spark, Delta Lake, and governance (Unity Catalog) to support scalable data engineering and analytics workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level technology managers with a data engineering background who wish to migrate complex procedural OLAP logic to a Lakehouse architecture using Databricks, Spark, Delta Lake, Unity Catalog, and native workflows.

Upon completion of this training, participants will be able to:

• Explain Lakehouse architecture and the Bronze→Silver→Gold (Medallion) pattern.
• Translate stored-procedure logic into Spark DataFrame and notebook implementations.
• Design and implement incremental ingestion, merge, and optimisation routines using Delta Lake.
• Build end-to-end orchestrated pipelines with Databricks Workflows, version control, testing, and governance.

Format of the Course

• Intensive, instructor-led sessions with focused demonstrations and explanations.
• Daily hands-on labs using representative datasets and migration exercises.
• Guided code reviews, performance tuning clinics, and workflow orchestration practice.

Course Customisation Options

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

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.
• Plenty of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

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

This instructor-led, live training (delivered online or on-site) is tailored for beginner to intermediate-level data analysts and financial professionals seeking to conduct large-scale data analysis using Databricks within finance-specific use cases.

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

• Utilise Databricks notebooks to query and analyse financial datasets.
• Clean and transform raw financial data for reporting and actionable insights.
• Build dashboards and visualisations to track performance metrics.
• Collaborate in real time with team members on shared notebooks.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

This instructor-led, live training in Christchurch (delivered online or on-site) is designed for data scientists and developers who wish to set up, deploy, and manage data analytics solutions using Databricks.

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

• Set up and configure Databricks.
• Understand how Databricks and Apache Spark work together.
• Learn how to load and transform data within Databricks.