Data Ingestion (Part-3) - End to End Azure Data Engineering Project using Microsoft Fabric

Unlock the power of Bing News Data Analytics in our latest tutorial, where we embark on a comprehensive End-to-End Azure Data Engineering Project utilizing Microsoft Fabric! 🌐

🚀 Join us on this transformative journey as we guide you through the intricacies of setting up the environment, creating essential resources, and configuring the groundwork for a seamless workflow.

🔄 Witness the art of Data Ingestion using Data Factory, ensuring a steady stream of information into our system. 🛠️ Explore the depths of Data Transformation with Synapse Data Engineering, mastering incremental loading techniques for optimized data processing pipelines.

📊 Dive into the realm of Synapse Data Science, where sentiment analysis becomes a reality through text analytics machine learning models. Learn the significance of incremental loading in populating data into the lake database.

📈 Visualize your insights like never before with Data Reporting using Power BI. Build robust pipelines in Data Factory for seamless orchestration, and set up proactive alerts using Data Activator for enhanced reliability.

🛠️ Finally, put your skills to the test with a comprehensive End-to-End Testing process, validating the effectiveness of your data engineering solution.

Whether you're a novice or a seasoned data engineer, this tutorial provides invaluable insights into the integration of Microsoft Fabric, elevating your data analytics projects to new heights. 💻📈 #AzureDataEngineering #MicrosoftFabric #DataAnalytics #TechTutorial

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Instagram: mrk_talkstech

– – – About me: – – –

Mr. K is a passionate teacher created this channel for only one goal "TO HELP PEOPLE LEARN ABOUT THE MODERN DATA PLATFORM SOLUTIONS USING CLOUD TECHNOLOGIES"

I will be creating playlist which covers the below topics (with DEMO)

1. Azure Beginner Tutorials
2. Azure Data Factory
3. Azure Synapse Analytics
4. Azure Databricks
5. Microsoft Power BI
6. Azure Data Lake Gen2
7. Azure DevOps
8. GitHub (and several other topics)

After creating some basic foundational videos, I will be creating some of the videos with the real time scenarios / use case specific to the three common Data Fields,

1. Data Engineer
2. Data Analyst
3. Data Scientist

Can't wait to help people with my videos.

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