Optimize Microsoft Fabric: Learn best practices for efficient data engineering organization.
Understand Azure Data Factory: Grasp workflow orchestration for foundational knowledge in data engineering.
Apply Data Integration: Utilize principles for end-to-end solutions in comprehensive data engineering.
Evaluate Data Transformations: Compare techniques within Microsoft Fabric for informed data processing.
Implement Solutions with Azure Data Factory: Leverage it with SQL Data Warehouse for comprehensive data engineering.
Develop Solutions with Spark: Create end-to-end solutions for large-scale data processing and analytics.
Construct Fabric Data Flows: Tailor flows in Microsoft Fabric for transforming and managing data in Lakehouse.
Build Fabric Spark Jobs: Create advanced Spark jobs within Microsoft Fabric for complex data transformations.
Establish Data Warehouse: Ingest from Fabric Lakehouse for a scalable and reliable data warehouse.
Design ADF Pipelines: Develop Azure Data Factory pipelines for efficient end-to-end data transformations.
Create Data Solutions with Dataflows: Construct end-to-end solutions, integrating components for seamless data processing.
Apply DevOps for Version Control: Utilize Microsoft DevOps for systematic source code management.
Implement Medallion Architecture: Apply advanced principles in Microsoft Fabric for efficient data handling.
Requirements
Familiarity with SQL and basic programming skills can be beneficial. We'll focus on SQL and Python. I provide to you all the sample you need to complete the case study.
Proficiency in programming will be valuable when working with scripting and data transformation tasks
Experience in troubleshooting and debugging technical issues will aid in building and troubleshooting Azure Data Factory pipelines.
Description
Unlock the full potential of data engineering with our comprehensive course on Microsoft Fabric. This hands-on program is designed for individuals seeking to master the latest in data transformation and integration technologies using Microsoft Fabric. Whether you're a data engineer, analyst, or IT professional, this course will equip you with the skills to build robust, scalable data solutions.
What You Will Learn
Introduction to Microsoft Fabric
: Get started with Microsoft Fabric, exploring its core features and capabilities for data engineering. Learn how to set up your workspace and prepare for data ingestion.
Medallion Architecture
: Understand and implement the Medallion Architecture in Microsoft Fabric. Gain insights into organizing data into Raw, Bronze, Silver, and Gold layers for efficient processing and analysis.
Dataflows Gen 2
: Discover the power of Dataflows Gen 2 for transforming and managing data. Learn how to ingest data through various stages, from Raw to Gold, and address common challenges.
SQL and Python Integration
: Dive into SQL and Python for advanced data transformation and processing. Create pipelines, automate workflows, and leverage SQL queries and PySpark to enhance data management.
Visualization and Reporting
: Use PowerBI to visualize data and generate insightful reports. Understand how to prepare data for visualization and create meaningful dashboards.
End-to-End Solutions
: Construct comprehensive end-to-end data engineering solutions. Learn how to integrate dataflows, pipelines, and transformation techniques to build a scalable data architecture.
Practical Application
: Engage in hands-on exercises with real-world examples, including a Car Sales case study. Work alongside the instructor to implement data engineering solutions and solve practical problems.
Course Highlights
Hands-On Learning
: Experience a practical, "work with me" approach where you'll actively engage with the tools and concepts alongside the instructor.
Flexible Learning Path
: Start with foundational concepts and advance to complex topics at your own pace. Utilize SQL and Python methods to master different aspects of data transformation.
Interactive Exercises
: Build and optimize dataflows, create pipelines, and develop comprehensive data models. Address real-world scenarios and troubleshoot common issues.
Expert Guidance
: Benefit from direct access to course instructors for questions and support. Engage with a community of learners and share insights and solutions.
Career Advancement
: Enhance your data engineering skills and prepare for roles that require expertise in Microsoft Fabric, SQL, and Python. Gain practical experience that will set you apart in the data engineering field.
Who Should Enroll
Data Engineers
: Professionals looking to enhance their skills in data architecture and processing using Microsoft Fabric.
Data Analysts
: Individuals seeking to expand their capabilities in data integration and transformation.
Database Administrators
: Those interested in optimizing data management with Microsoft Fabric.
Business Intelligence Professionals
: Experts aiming to develop end-to-end solutions for business analytics.
Data Scientists
: Professionals wanting to strengthen their data engineering skills, especially with large-scale data processing.
IT Professionals and Technology Enthusiasts
: Individuals interested in the latest Microsoft technologies for data engineering and analytics.
Join us to gain hands-on experience with Microsoft Fabric and elevate your data engineering skills to the next level!
Note: This course is a good introduction to Fabric and covers many of the topics required for the
Azure Data Engineer Associate
certification. Check out the preview lesson "Introduction to Microsoft Fabric Data Engineering and Certification Alignment" to see what's covered and what is not.
Who this course is for
Data Engineers: Professionals responsible for designing, constructing, and maintaining data architecture, databases, and processing systems.
Data Analysts: Individuals seeking to expand their data processing and integration skills for comprehensive data analysis.
Database Administrators: Those looking to enhance their knowledge of Microsoft Fabric and related tools for optimizing data management.
Business Intelligence Professionals: Individuals interested in developing end-to-end solutions for business intelligence and analytics.
Data Scientists: Professionals aiming to strengthen their data engineering capabilities, especially in large-scale data processing using technologies like Spark.
IT Professionals: Those involved in IT roles looking to specialize in data engineering within the Microsoft ecosystem.
Students and Graduates: Individuals pursuing education or recently graduated in fields related to data science, computer science, or information technology.
Technology Enthusiasts: Individuals with a keen interest in learning about the latest tools and best practices in the field of data engineering.
Professionals Transitioning Careers: Individuals seeking a career change into the field of data engineering or related roles.
Anyone Interested in Microsoft Data Technologies: Enthusiasts looking to gain expertise in Microsoft technologies for data engineering and analytics.
Homepage
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