Certificate of Achievement
has completed the following course:
Introduction to Data Engineering with Microsoft Azure 1
This course explored various data platform technologies, and how a Data Engineer can take advantage of this technology. Learners learned the basics of storage management in Azure, creating and managing data pipelines in the cloud using Azure Data Factory, and using Azure Synapse Analytics to perform different types of analytics. Learners explored the tools and techniques used to work with Modern Data Warehouses and learned to perform data engineering with Azure Synapse Apache Spark Pools.
6 weeks, 4 hours per week
Ian Howell
Managing Director
FutureLearn
Transcript
Learning outcomes
- Explore how the world of data has evolved and how the advent of cloud technologies is providing new opportunities for business to explore.
- Explore the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data you want to store in the cloud.
- Create and manage data pipelines in the cloud using Azure Data Factory.
- Perform different types of analytics through Azure Synapse Analytics components.
- Explore the tools and techniques that can be used to work with Modern Data Warehouses productively and securely within Azure Synapse Analytics.
- Perform data engineering with Azure Synapse Apache Spark Pools to boost the performance of big-data analytic applications by in-memory cluster computing.
Syllabus
Understanding the evolving world of data
Survey the services on the Azure Data Platform
Identify the tasks of a Data Engineer in a cloud-hosted architecture
Issued on 26th November 2025
The person named on this certificate has completed the activities in the transcript above. For more information about Certificates of Achievement and the effort required to become eligible, visit futurelearn.com/proof-of-learning/certificate-of-achievement.
This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.