"Mastering Data Engineering on Azure: From Fundamentals to Advanced Implementation"
Sub Category
- IT Certifications
{inAds}
Objectives
- Design and Implement Data Storage (40-45%) Design a Data Storage Structure: Learn about designing Azure data storage solutions, including Azure Data Lake, Azur
- Design and Develop Data Processing (25-30%) Ingest and Transform Data: Use Azure Data Factory and Azure Synapse Pipelines to create data ingestion and transfor
- Design and Implement Data Security (10-15%) Design and Implement Data Security: Implement security measures such as encryption (both at rest and in transit), m
- Monitor and Optimize Data Storage and Data Processing (10-15%) Monitor Data Storage and Processing: Use Azure Monitor, Log Analytics, and other tools to monito
Pre Requisites
- Azure Data Services: Experience with Azure services such as Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks.
- Data Pipelines: Understanding how to design and implement data pipelines using Azure Data Factory.
- SQL Proficiency: Solid knowledge of SQL for querying and managing data.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)