Azure Synapse with Databricks training course

Use Azure Synapse Link to automatically move data from both operational databases and business applications without time-consuming extract, transform, and load (ETL) processes.

JBI training course London UK

“I liked the theory element of the course which gave me a good understanding of the role of databricks and a data factory and how they could be useful on my projects.”

JS, Data analyst 

Public Courses

28/09/26 - 2 days
£1995 +VAT
Enrol 
09/11/26 - 2 days
£1995 +VAT
Enrol 
21/12/26 - 2 days
£1995 +VAT
Enrol 

Customised Courses

* Train a team
* Tailor content
* Flex dates
From £1200 / day
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JBI training course London UK
  • Query data in the lake
  • Create metadata objects
  • Secure data and manage users
  • Understand big data engineering
  • Transform data with DataFrames in Apache Spark pools with Databricks
  • Integrate SQL and Apache Spark pools within Azure Synapse Analytics and Databricks
  • Use data loading best practice
  • Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipelines
  • Data integration
  • Code-free transformation at scale
  • Orchestrate data movement and transformation
  • Secure a data warehouse in Azure Synapse Analytics
  • Implement compliance controls for sensitive data
  • Design hybrid transactional and analytical processing
  • Configure Azure Synapse Link with Azure Cosmos DB
  • Query Azure Cosmos DB
  • This course prepares you for Microsoft exam DP-203: Data Engineering on Microsoft Azure.

Course Details

  • Introduction to Azure Synapse Analytics
  • Explore Azure Synapse serverless SQL pools capabilities
  • Query data in the lake using Azure Synapse serverless SQL pools
  • Create metadata objects in Azure Synapse serverless SQL pools
  • Secure data and manage users in Azure Synapse serverless SQL pools
  • Understand big data engineering with Apache Spark in Azure Synapse Analytics
  • Ingest data with Apache Spark notebooks in Azure Synapse Analytics
  • Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics (databricks)
  • Integrate SQL and Apache Spark pools in Azure Synapse Analytics (databricks)
  • Use data loading best practices in Azure Synapse Analytics
  • Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipelines
  • Data integration with Azure Data Factory or Azure Synapse Pipelines
  • Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines
  • Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipelines
  • Secure a data warehouse in Azure Synapse Analytics
  • Implement compliance controls for sensitive data
  • Design hybrid transactional and analytical processing using Azure Synapse Analytics
  • Configure Azure Synapse Link with Azure Cosmos DB
  • Query Azure Cosmos DB with Apache Spark for Azure Synapse Analytics
  • Query Azure Cosmos DB with SQL serverless for Azure Synapse Analytics
JBI training course London UK

Data and Analytics professionals who need to use Azure Synapse to accelerate time to insight across data warehouses and big data systems.

 

5 star

4.8 out of 5 average

“I liked the theory element of the course which gave me a good understanding of the role of databricks and a data factory and how they could be useful on my projects.”

JS, Data analyst 

 

“It was a very useful two days introduction to Azure and I thought the labs were really helpful to get some hands on experience using the tools. The trainer was very helpful and patient in helping with issues arising with the lab exercises.”

JM, Insights analyst 

 

JBI training course London UK

Certification


Every delegate will be entitled to a certificate of achievement on completion of the course.

If you are missing your certificate - please use the link below to apply - you can also use this link to sign up for the JBI Training newsletter to receive technology tips directly from our instructors - Analytics, AI, ML, DevOps, Web, Backend and Security.
 



More about this course

On our Azure Logic Apps training course, students learn how to create enterprise-grade integration solutions using Logic Apps, API Apps, the Enterprise Integration Pack, and Azure Service Bus.

At the core of the course is Logic Apps and how to use this cutting-edge technology to build integration workflows. However, Logic Apps primarily provide process orchestration and API integration. In order to build well-rounded enterprise integrations, you may desire publish-subscribe capabilities, hybrid connectivity, and VETER pipelines.

As a result, you will see how to interact with other Azure services such as Azure Service Bus, as well as on-premises systems like SQL Server, and how you can add to the out-of-the-box tools in Logic Apps with the Enterprise Integration Pack.

This course offers the full picture for developers who need to build integration solutions using the Azure platform, and gives students about 20 hours of hands-on lab time in which they will build several integration solutions.

In this course, attendees will receive live instruction from one of our expert trainers, in-classroom demonstrations, challenging hands-on labs, and an electronic copy of the presentation materials and lab guide with hands-on activities.

FAQs

After completing courses in this group, you will be able to build: AI-powered business applications Intelligent chatbots and virtual assistants AI agents using Microsoft Copilot technologies Generative AI applications using Azure OpenAI Knowledge assistants using enterprise data Machine learning solutions using Azure AI services AI-powered automation workflows Enterprise AI solutions integrated with Microsoft platforms You will gain practical skills to design, develop, deploy, and manage AI solutions using Microsoft's modern AI ecosystem.
The Microsoft AI Training Courses Group is a collection of multiple professional training courses focused on Microsoft's AI technologies. It provides a structured learning pathway covering AI fundamentals, Copilot, Azure AI, Generative AI, machine learning, and enterprise AI development.
This is a group of related Microsoft AI courses. Each course focuses on a specific technology or capability, allowing learners to build their knowledge progressively across the Microsoft AI ecosystem.
The group includes courses covering areas such as: Microsoft AI fundamentals Microsoft Copilot Azure AI Services Azure OpenAI Microsoft Foundry AI agents and Copilot Studio Azure Machine Learning AI application development
No. The course group includes foundation-level courses as well as advanced technical courses. Some development-focused courses may benefit from programming and cloud knowledge.
You will learn Microsoft AI technologies including Azure AI, Azure OpenAI, Microsoft Copilot, Copilot Studio, Microsoft Foundry, Azure Machine Learning, and AI development tools.
Yes. The courses include practical examples, demonstrations, and hands-on exercises focused on applying Microsoft AI technologies to real-world scenarios.
Microsoft AI includes Generative AI technologies such as Azure OpenAI, Copilot, and Large Language Models. These technologies enable organisations to build AI assistants, content generation solutions, knowledge systems, and intelligent applications.
Microsoft AI provides the platform and tools needed to build AI agents. Technologies such as Copilot Studio, Azure OpenAI, Microsoft Foundry, and Semantic Kernel enable organisations to create AI systems that can reason, use tools, and automate complex workflows.
Yes. We provide team and corporate training that can be customised around your organisation's objectives, Microsoft environment, technology stack, and business requirements.

CONTACT


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enquiries@jbinternational.co.uk

 

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