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PwC Academy is a learning and education service offering of PwC India. It provides diverse training courses based on the best practices of PwC’s global network of firms and brings real-life business experiences into the classroom. Moreover, subject matter experts help to make learning more effective and practical. PwC Academy focuses on improving the knowledge, skills, competence, and expertise of professionals and students by offering diverse learning programs in areas such as financial accounting and reporting, risk, governance, and digital.
This course covers multiple industry-specific use cases, giving learners practical understanding and hands-on experience with Azure data engineering. Starting with migrating SSIS packages to Azure Data Factory (ADF) and creating pipelines, learners will delve into ETL processes, Azure SQL Database integration, and scheduling within ADF. Learners will be equipped with practicals to integrate HR learning records using Azure Databricks, focusing on data extraction, transformation with notebooks, and loading into SQL Data Warehouse. The course concludes with data analysis using Microsoft Fabric, including Spark analytics, Python scripting, and Power BI visualization, providing comprehensive skills in ADF, Databricks, SQL Data Warehouse, and data visualization tools.
There are no prerequisites for this course. However, it would be beneficial to have basic knowledge of SQL and an understanding of Azure Data Factory (ADF).
By the end of the course, you will be able to:
This Azure training course is specifically designed for:
Azure Data Engineers are specialists who combine expertise in data management and Azure services. They play a crucial role in designing, implementing, and managing data solutions on the Azure platform. The following are some key responsibilities of an Azure Data Engineer:
These professionals play a crucial role in managing data throughout its lifecycle within Azure, ensuring it is secure, accessible, and optimized for various analytical and operational needs.
The field of Azure Data Engineering holds immense promise for the future, with numerous organizations gearing up to leverage its capabilities. Azure Data Engineering is continuously evolving with the introduction of new tools and technologies aimed at optimizing organizational processes through automation. Reports indicate a robust growth trajectory, forecasting substantial market expansion from its current size. Many enterprises are adopting Azure Data Engineering to automate data workflows and enhance operational efficiency.
The following specifications are the recommended system requirements for this Azure Data Engineering course:
Detailed step-by-step installation guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.
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