Azure Data Engineer Associate certification candidates should have experience transforming, and integrating data from a variety of structured and unstructured data systems to structures suitable for building analytic solutions.
Responsibilities in this role include helping stakeholders understand data by researching, building, and maintaining secure and interoperable data processing pipelines using a variety of tools and methods. This expert uses a variety of Azure data services and languages to store and create clean, rich data sets for analysis.
Azure Synapse analytics is undoubtedly the most complex service offering of the Microsoft Azure Cloud. If you are working as a Data Engineer or planning to choose it as your future job role then this will be your most interesting topic to work on.
According to Microsoft, Synapse Analytics helps customers use their data more efficiently, productively, quickly and securely by unifying information from all data sources, repositories and big data analytics systems.
Businesses can also benefit from disruptive technologies such as artificial intelligence and data analytics. These technologies enable professionals to better understand the weather, workers to better handle menial tasks, and search engines to recognize destinations as users enter search terms.
Additionally, Azure Synapse Analytics is built to support your ever-growing DevOps strategy. Here, operations and development staff work closely together to build and run services that perform better throughout their lifecycle.
Learning Objectives
· Introduction of Azure Data engineering
· Introduction of Azure Synapse
· Explain Azure Synapse Studio
· Explain about Synapse SQL
· Explain Azure Pipelines
· Explore Synapse Notebooks
Intended Audience
· IT professionals who want to become Azure Data Engineer
· IT professionals preparing for Microsoft’s DP-203 exam
Prerequisites
General knowledge of IT architecture
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