Microsoft Azure Data Engineer

Overview

On this Microsoft Azure Data Engineer Skills Bootcamp, your Apprentice will be certified in managing data security and troubleshoot Azure data solutions through learning how to design software that will protect your business and ensure speedy disaster recovery.

In just 12 weeks, a certified Microsoft Azure Data Engineer on your team will learn to implement Azure technology across your business, and will be responsible for a multitude of tasks, including:

  • Managing and develop data processing and data security
  • Monitoring data solutions
  • Designing Azure data storage solutions and data processing solutions

As a Microsoft Gold Partner for Learning, Apprentices will get access to Microsoft Official Curriculms (MOCs), learn from Microsoft Certified Trainers (MCTs) as well as Data Subject Matter Experts (SMEs).

Firebrand deliver the programme through Online Instructor-Led learning, based on our Lecture, Lab and Review methodology. Apprentices will be supplemented with support from our Data SMEs, get full access to an e-learning platform that covers all areas of data analytics, as well as over 5000 courses on other relevant topics to business.

Firebrand take sole delivery of the Microsoft Azure Data Engineer provision and will provide the operational infrastructure to recruit learners, deliver training, provide additional support to learners and to access a guaranteed interview with Employers who are regularly hiring people with these skills.

Curriculum

Course AZ-900T01-A: Microsoft Azure Fundamentals

  • Module 1: Cloud concepts
  • Module 2: Azure architecture and services
  • Module 3: Azure management and governance

Course DP-900T00: Microsoft Azure Data Fundamentals

  • Module 1: Describe core data concepts
  • Module 2: Describe how to work with relational data on Azure
  • Module 3: Describe how to work with non-relational data on Azure
  • Module 4: Describe an analytics workload on Azure

Course DP-203T00: Data Engineering on Microsoft Azure

  • Module 1: Explore compute and storage options for data engineering workloads
  • Module 2: Design and implement the serving layer
  • Module 3: Data engineering considerations for source files
  • Module 4: Run interactive queries using Azure Synapse Analytics serverless SQL pools
  • Module 5: Explore, transform, and load data into the Data Warehouse using Apache Spark
  • Module 6: Data exploration and transformation in Azure Databricks
  • Module 7: Ingest and load data into the data warehouse
  • Module 8: Transform data with Azure Data Factory or Azure Synapse Pipelines
  • Module 9: Orchestrate data movement and transformation in Azure Synapse Pipelines
  • Module 10: Optimise query performance with dedicated SQL pools in Azure Synapse
  • Module 11: Analyse and Optimize Data Warehouse Storage
  • Module 12: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
  • Module 13: End-to-end security with Azure Synapse Analytics
  • Module 14: Real-time Stream Processing with Stream Analytics
  • Module 15: Create a Stream Processing Solution with Event Hubs and Azure Databricks
  • Module 16: Build reports using Power BI integration with Azure Synapse Analytics
  • Module 17: Perform Integrated Machine Learning Processes in Azure Synapse Analytics

Exam Track

As part of this Skills Bootcamp, you'll sit the following exams:

Exam AZ-900: Microsoft Azure Fundamentals

  • Exam code: AZ-900
  • Language: English
  • Domains:
    1. Describe cloud concepts (20-25%)
    2. Describe core Azure services (15-20%)
    3. Describe core solutions and management tools on Azure (10-15%)
    4. Describe general security and network security features (10-15%)
    5. Describe identity, governance, privacy, and compliance features (20-25%)
    6. Describe Azure cost management and Service Level Agreements (10-15%)

Exam DP-900: Microsoft Azure Data Fundamentals

  • Exam code:  DP-900
  • Language: English
  • Domains:
    1. Describe core data concepts (15-20%)
    2. Describe how to work with relational data on Azure (25-30%)
    3. Describe how to work with non-relational data on Azure (25-30%)
    4. Describe an analytics workload on Azure (25-30%)

Exam DP-203: Data Engineering on Microsoft Azure

  • Exam code:  DP-203
  • Language: English
  • Domains:
    1. Design and implement data storage (40-45%)
    2. Design and develop data processing (25-30%)
    3. Design and implement data security (10-15%)
    4. Monitor and optimise data storage and data processing (10-15%)

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