About
Azure Data Engineers are IT professionals who design and implement cloud-based systems for companies. These systems are networked computing facilities that provide remote data storage and processing services.
If you enjoy troubleshooting and staying up-to-date with industry trends, this could be the career for you!
What careers can it lead to?
Depending on your interests, it can lead to multiple careers.
Database Administrators manage, organize, and maintain large databases, while Data Analysts collect and interpret complex data sets to identify trends, patterns, and insights.
With more experience, you can pursue Data Scientist or Business Analyst roles. These professionals develop and implement strategies to improve business performance using data-driven insights.
What will I learn?
You will understand:
- the Microsoft Azure platform
- specific fundamentals on using Azure for data
- design and implement storage, develop data processing, and implement data security through policy and standards
- how data is stored, secured, and processed in organisations
At Firebrand, we are a Microsoft Gold Partner for Learning.
Candidates will access the Microsoft Official Curriculum (MOC), learn from Microsoft Certified Trainers (MCTs), and be supported by Data Subject Matter Experts (SMEs).
Level
5
Duration
12 weeks
Curriculum
Microsoft Azure Fundamentals (AZ-900T01-A)
- Module 1 — Cloud concepts
- Module 2 — Azure architecture and services
- Module 3 — Azure management and governance
Microsoft Azure Data Fundamentals (DP-900T00)
- 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
Data Engineering on Microsoft Azure (DP-203T00)
- 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
Exams
As part of this Skills Bootcamp, you'll sit the following exams:
- Microsoft Azure Fundamentals (AZ-900)
- Microsoft Azure Data Fundamentals (DP-900)
- Data Engineering on Microsoft Azure (DP-203)