Description
In this course, you will learn how to create and manage data pipelines in the cloud using Azure Data Factory.
This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services. It is ideal for anyone interested in preparing for the DP-203: Data Engineering on Microsoft Azure exam (beta).
This is the third course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam.
By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
What you will learn
Integrate data with Azure Data Factory or Azure Synapse Pipeline
Describe the core components of Azure Data Factory that enable you to create large scale data ingestion solutions in the cloud
Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
Describe the various methods that can be used to ingest data between various data stores using Azure Data Factory
Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline
Perform common data transformation and cleansing activities within Azure Data Factory without using code Implement Slowly Changing Dimension using Azure Data Factory or Azure Synapse Pipelines
Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline
Use Azure Data Factory to orchestrate large scale data movement by using other Azure Data Platform and Machine Learning technologies
