End To End Data Engineering Using Microsoft Fabrics

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Tomas Sany

1:38:58

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1. Introduction

1.1 Github Locations for Datasets.html

1. Introduction- Data Ingestion from Multiple Sources using Fabric.mp4

31:01

2. Data Engineering using Synapse workload and Notebooks

1. Transformations Part 1.mp4

15:02

3. Data Engineering using Synapse workload and Notebooks Part 2

1. Transformations Part 2.mp4

39:43

4. Data Engineering and Reporting using Power BI

1. Power BI Reporting.mp4

13:12

5. Alerting and Messaging for Power BI using Data Activator

1. Alerting and Messaging for Power BI using Data Activator.html

Description

Step by Step Data Integration and Reporting

What You'll Learn?

MS Fabric Data Engineering End to End Project
Within 2 weeks you can learn how to implement projects
You can implement your own projects after completion of this course
You can implement your own projects after completion of this course

Who is this for?

Data Engineering Lovers

What You Need to Know?

Data Engineering Basic knowledge

ADF, Linked Services, IR, Data Sets, Workspace, Notebooks, Power BI

More details

Description
Course Description:
Unlock the power of data with our comprehensive course, "Mastering Data Integration and Visualization with MS Fabric." This course is designed to equip you with the essential skills and knowledge needed to seamlessly integrate and visualize data using Microsoft Fabric, one of the leading platforms in data engineering and analytics.
What You'll Learn:
Introduction to Microsoft Fabric:
Understand the architecture and components of Microsoft Fabric.
Learn how to set up and navigate the MS Fabric environment.
Data Integration Techniques:
Master the art of data integration from various sources.
Explore ETL (Extract, Transform, Load) processes and tools within MS Fabric.
Handle real-time data streaming and batch processing.
Data Transformation and Modeling:
Implement data cleaning and transformation techniques.
Develop robust data models to support analysis and reporting.
Optimize data workflows for performance and efficiency.
Advanced Data Visualization:
Create interactive and insightful dashboards using MS Fabricâ€™s visualization tools.
Learn best practices for data storytelling and presentation.
Customize visualizations to meet business needs and drive decision-making.
Hands-on Projects and Case Studies:
Apply your learning to real-world scenarios with hands-on projects.
Analyze case studies to understand best practices and common pitfalls.
Gain practical experience in solving complex data integration and visualization challenges.
Who Should Enroll:
Data engineers and analysts looking to enhance their skills in data integration and visualization.
IT professionals and developers seeking to leverage Microsoft Fabric for data-driven solutions.
Business intelligence specialists and decision-makers aiming to improve data insights and reporting capabilities.
Anyone with a passion for data and a desire to learn how to harness its power effectively.
Course Benefits:
Gain a deep understanding of Microsoft Fabric and its applications in data engineering.
Who this course is for:
Data Engineering Lovers

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Thomas is an accomplished professional with 13 years of extensive experience in the fields of Azure Data Engineering and Snowflake. Throughout his career, Sany has demonstrated a deep understanding and expertise in architecting, implementing, and optimizing data solutions on the Azure platform and Snowflake cloud data platform.architecting, implementing, and optimizing data solutions on the Azure platform and Snowflake cloud data platform.As an Azure Data Engineer, Sany has been instrumental in designing and deploying robust data pipelines, leveraging Azure services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. He has a proven track record of delivering scalable and efficient data solutions that meet the unique requirements of diverse business domains.In addition to his proficiency in Azure technologies, Sany possesses a wealth of experience in working with Snowflake, a leading cloud data platform known for its performance, scalability, and ease of use. He has successfully implemented Snowflake solutions, including data warehousing, data lake integration, and advanced analytics, empowering organizations to harness the full potential of their data assets.

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