Mastering Data Lakehouses with Microsoft Fabric: From Introduction to Advanced Techniques
Sub Category
- IT Certifications
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Objectives
- Implement and manage data lakehouses using Microsoft Fabric, utilizing Apache Spark and Delta Lake for scalable and reliable data processing and storage.
- Design and optimize real-time intelligence solutions, including data ingestion, processing, and dashboarding with Microsoft Fabric’s comprehensive suite of tool
- Apply best practices for data security, performance optimization, and efficient data workflows in Microsoft Fabric environments, ensuring robust and secure data
- Organize and optimize data workflows using the medallion architecture design within Microsoft Fabric, enabling efficient data transformation and enhanced analyt
Pre Requisites
- Requirements or Prerequisites: Basic Data Concepts: Learners should have a foundational understanding of basic data concepts and terminology to follow along with the course material effectively. Familiarity with Microsoft Fabric: A basic familiarity with Microsoft Fabric is recommended, as this course builds on introductory knowledge to cover more advanced topics and techniques. Access to Microsoft Fabric: Learners will need access to a Microsoft Fabric account to practice hands-on exercises and apply the concepts taught in the course. Basic Programming Skills: While not mandatory, basic programming skills, especially in Python and SQL, will be beneficial for understanding and implementing data processing tasks using Apache Spark within Microsoft Fabric.
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!
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