Comprehensive Guide to Mastering Microsoft Fabric: Hands-On
What you'll learn
- 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
Requirements
- 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.
Description
Welcome to the Comprehensive Guide to Mastering Microsoft Fabric! This hands-on course is your definitive pathway to becoming proficient with Microsoft Fabric, a leading-edge platform for end-to-end data analytics. Whether you're a data analyst, engineer, or scientist, this course equips you with essential skills to harness Microsoft Fabric's capabilities effectively.
Skill Level and Audience: Whether you're a seasoned data analyst looking to expand your toolkit or a budding data scientist eager to dive into advanced analytics, this course caters to learners of all levels. Beginners will find a solid foundation in basic data concepts, while intermediate learners can deepen their knowledge with advanced techniques in data ingestion, warehousing, real-time intelligence, and machine learning.
Prerequisites: To fully benefit from this course, familiarity with basic data terminology and concepts is recommended. No prior experience with Microsoft Fabric is required as we start from the fundamentals and gradually progress to advanced topics.
What You Will Learn: By enrolling in this course, you'll gain hands-on experience in:
Setting up and navigating Microsoft Fabric environments.
Implementing robust data warehouses and lakehouses.
Ingesting data from various sources using Dataflows, Spark, and Data Factory.
Leveraging real-time intelligence for stream processing and dashboarding.
Building and deploying machine learning models with Azure Machine Learning and MLflow.
Career Opportunities: Proficiency in Microsoft Fabric opens doors to lucrative career opportunities in data analysis, engineering, and data science across industries. Companies worldwide are increasingly relying on data-driven insights to gain a competitive edge, making skilled Microsoft Fabric professionals highly sought after.
Benefits: Upon completion, you'll receive a shareable credential showcasing your expertise in Microsoft Fabric, enhancing your resume and LinkedIn profile. You'll also gain the confidence to tackle real-world data challenges, empowering you to drive actionable insights and accelerate your career growth in the dynamic field of data analytics.
Enroll now and embark on your journey to mastering Microsoft Fabric—the cornerstone of modern data analytics!
Who this course is for:
- This course is ideal for data analysts, engineers, and scientists looking to enhance their skills in data management and analytics using Microsoft Fabric. It's perfect for professionals who want to implement and optimize data lakehouses, process real-time data, and leverage advanced analytics techniques. Beginners with basic data knowledge and experienced practitioners alike will find valuable insights and practical skills. If you aim to advance your career in data analytics, engineering, or science, this course is tailored for you. Join us to unlock the full potential of your data with Microsoft Fabric.
Instructor
- 4.4 Instructor Rating
- 44 Reviews
- 4,952 Students
- 13 Courses
I'm Lakshminarayana Singilidevi, a Data Engineer at CloudSkills Fabric, based in Rajahmundry, Andhra Pradesh, India. With a Bachelor's degree in Electrical, Electronics, and Communications Engineering from Adikavi Nannaya University, I embarked on a journey to explore the fascinating world of data engineering and data science.
Currently, I am part of the CloudSkills Azure, Fabric , where I play a pivotal role in leveraging data to generate insights and solutions that drive our organization's success. My skill set includes proficiency in Oracle Cloud Infrastructure (OCI), Azure Data Factory, Azure Synapse Analytics, data science, and Python programming.
I gained valuable experience as an Apprentice at the Indian Space Research Organization (ISRO), where I worked on Satellite Test Data Pattern Generation using FPGA and Embedded Systems. I also completed an internship with the Andhra Pradesh State Skill Development Corporation (APSSDC), honing my skills in various aspects of automation.
My educational journey has been marked by academic excellence, with a Grade A Bachelor's degree and active involvement in college activities. I served as a Class Representative (CR) and achieved recognition for my achievements, including winning the first prize in a college poster presentation on Digital Empowerment and securing the second prize in a college photography competition.
In addition to my academic and professional endeavors, I am continuously enhancing my knowledge and skills. I hold certifications in Introduction to Cybersecurity from Cisco Networking Academy and the Oracle Cloud Infrastructure 2023 Data Science Professional certification from Oracle.
I am passionate about data and technology and look forward to contributing to the ever-evolving field of data engineering and data science.