Azure Data Platforms with Azure Synapse and Azure Databricks

Overview

🕮 Off the shelf (OTS)

This course introduces participants to modern Azure-based data platforms using Azure Synapse Analytics and Azure Databricks. It provides practical experience with distributed data processing, analytics workflows, and machine learning solutions using Apache Spark and Azure cloud services.

The course is designed to support different organisational needs and roles across data engineering, analytics, and machine learning teams.
Participants will gain hands-on experience working with cloud data services, building scalable solutions that support the full data lifecycle, including ingestion, transformation, analysis, and advanced analytics.

To support different learning objectives, the course can be delivered through one of three specialist routes, which are agreed prior to the course delivery.
Available course routes

1. Azure Synapse Analytics with Azure Databricks
Focuses on building modern cloud data platforms that integrate Azure Synapse Analytics with Azure Databricks for large-scale data engineering and analytics.
Topics may include:
• Data ingestion and orchestration using Azure Synapse and Azure data services
• Data transformation and processing using Apache Spark
• Integration of Azure Synapse with Azure Data Lake and Databricks
• Designing scalable analytics architectures
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2. Data Analytics with Azure Databricks
Focuses on data analytics and large-scale data preparation using Azure Databricks and Apache Spark.
Topics may include:
• Exploratory data analysis using Databricks notebooks
• Data transformation and preparation using Spark and Data Frames
• Analytics workflows for large datasets
• Visualisation and insights generation from distributed data
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3. Machine Learning with Azure Databricks
Focuses on developing machine learning models and AI workflows using Azure Databricks.
Topics may include:
• Data preparation and feature engineering for machine learning
• Training and evaluating machine learning models
• Experiment tracking and model management
• Deploying machine learning solutions in Azure environments
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The selected route determines the emphasis of the practical exercises and examples, while maintaining a common foundation in Azure data platforms and Apache Spark technologies.