Azure Data Engineering

Azure Data Engineering

Regular price £500.00 GBP
Regular price Sale price £500.00 GBP
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Purpose of the Azure Data Engineering Course

The Azure Data Engineering course is designed to provide a comprehensive understanding of data engineering solutions using Microsoft Azure. This course aims to equip learners with the skills needed to design and implement data solutions, including the management of batch and real-time data processing, building data pipelines, and handling big data workloads. By the end of the course, participants will be proficient in using Azure services for data engineering tasks, ensuring they can efficiently manage and optimize data solutions within a business context.

Azure Data Engineering Training Components

This online-only course is structured into several detailed modules, covering key aspects of Azure data engineering:

  1. Introduction to Data Engineering on Azure: Overview of Azure data engineering services and their applications.
  2. Data Storage and Management: Understanding Azure Data Lake Storage, Azure SQL Database, and Azure Cosmos DB.
  3. Data Integration and Transformation: Using Azure Data Factory for ETL processes and data integration.
  4. Stream Processing: Implementing real-time data processing with Azure Stream Analytics and Azure Event Hubs.
  5. Big Data Solutions: Leveraging Azure Synapse Analytics for big data and data warehousing.
  6. Data Security and Compliance: Ensuring data protection and compliance with Azure's security features.
  7. Monitoring and Optimisation: Techniques for monitoring, troubleshooting, and optimising data solutions.
  8. Practical Projects: Hands-on labs and projects to apply learning in real-world scenarios.

Each module combines theoretical lessons with practical exercises, ensuring a balanced and comprehensive learning experience.

Target Audience

This course is ideal for:

  • Aspiring data engineers looking to build expertise in Azure.
  • IT professionals seeking to enhance their skills in cloud data solutions.
  • Data professionals aiming to specialise in data engineering.
  • Developers interested in expanding their knowledge of data processing and big data solutions.

Basic knowledge of cloud computing and data concepts is recommended but not required.

Why Pursue the Azure Data Engineering Course?

Choosing the Azure Data Engineering course offers several significant benefits:

  • In-depth Knowledge: Gain comprehensive insights into Azure's data engineering services and their practical applications.
  • Flexibility: The online format allows for learning at your own pace and convenience.
  • Real-world Skills: Hands-on labs and practical projects ensure you acquire skills that are directly applicable to the industry.
  • Career Advancement: Establish a strong foundation in data engineering, paving the way for advanced learning and career growth.

Average Salary for Azure Data Engineering Graduates

Graduates of this course can expect to pursue various high-demand roles in the data field. According to industry standards, the average salaries for related positions are:

  • Data Engineers: £45,000 - £70,000 per annum.
  • Big Data Engineers: £50,000 - £75,000 per annum.
  • Cloud Data Architects: £60,000 - £90,000 per annum.

Job Roles

Upon completing the Azure Data Engineering course, graduates can pursue roles such as:

  • Data Engineer: Designing and implementing data pipelines and solutions.
  • Big Data Engineer: Managing and processing large datasets using Azure big data services.
  • Cloud Data Architect: Architecting and optimising cloud-based data solutions.
  • Data Analytics Engineer: Building and maintaining analytics solutions using Azure services.

Frequently Asked Questions

  1. Is there any exam or certification included in this course?

    • No, this course does not include any exam or certification. It is designed purely for learning purposes.
  2. What are the prerequisites for this course?

    • Basic knowledge of cloud computing and data concepts is recommended but not required.
  3. How long is the course?

    • The course is self-paced and can be completed at your convenience. The estimated completion time is approximately 30-35 hours.
  4. Are there any hands-on labs included?

    • Yes, the course includes practical labs and projects to help reinforce theoretical knowledge with real-world applications.
  5. Can I access the course material after completion?

    • Yes, you will have lifetime access to the course material for future reference.

By completing the Azure Data Engineering course, you will gain essential skills and knowledge that will enable you to effectively design and implement data solutions using Azure, significantly enhancing your career prospects in the field of data engineering.

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