#AzureDataEngineering #MicrosoftFabric #DataFactory #SynapseAnalytics #DataIngestion #DataTransformation #DataScience #DataAnalytics

In this video, I'll show you how to build a Bing News Data Analytics platform! We'll do a big project in Azure Data Engineering using Microsoft Fabric. We'll pull raw data from Bing API, transform the raw data to clean data with Synapse Data Engineering, analyze sentiment with Synapse Data Science, set up workflows with Data Factory, make cool reports with Power BI, set alerts with Data Activator, and test everything well. Let's get started on Bing News Analytics! 🌐

The Topics covered in this Project are,

1. Data Ingestion from Bing API using Data Factory: Learn how to seamlessly pull in data from external sources, setting the foundation for your analytics project.

2. Data Transformation using Synapse Data Engineering: Dive into the process of shaping and refining your raw JSON data to a curated Delta Table, including techniques like incremental loading to keep your processes efficient.

3. Sentiment Analysis using Synapse Data Science: Uncover insights hidden within the news description by predicting the sentiment of the news classified as Positive, Negative or Neutral.

4. Orchestration using Data Factory via pipelines: Discover the art of orchestrating your data workflows, ensuring smooth and efficient operations.

5. Data Reporting using Power BI: Visualize your data in a compelling and actionable manner, empowering stakeholders with valuable insights.

6. Configuring Alerts using the Data Activator: Stay ahead of potential issues by setting up alerts and notifications within your Power BI visuals using a new tool called Data Activator.

7. End to End Pipeline Testing: The complete flow will be tested right from the data ingestion to the data transformation and until the report gets updated with the incoming new data to Validate the integrity and performance of your pipelines, ensuring reliability and accuracy.

This project revolves around Bing News Data Analytics, a practical application that involves ingesting news data daily and generating insightful reports. By walking through each step in a simplified manner, I aim to make Azure Data Engineering accessible to all enthusiasts, regardless of their background.

Chapters

TimeStamp:

0:00:00 - Project Overview
0:15:57 - Environment Setup
0:28:56 - Data Ingestion using Data Factory
0:53:14 - Data Transformation using Synapse Data Engineering
1:28:00 - Incremental load using Spark Notebook
1:50:41 - Sentiment Analysis using Synapse Data Science
2:06:20 - Building Reports using Power BI
2:31:43 - Building Pipelines using Data Factory
2:52:28 - Setting up Alerts using Data Activator
3:02:33 - End to End Pipeline Testing


– – – Book a Private One on One Meeting with me (1 Hour) – – –

[ Ссылка ]

– – – Express your encouragement by brewing up a cup of support for me – – –

[ Ссылка ]


– – – Other useful playlist: – – –

1. Microsoft Fabric Playlist: [ Ссылка ]
2. Azure General Topics Playlist: [ Ссылка ]
3. Azure Data Factory Playlist: [ Ссылка ]
4. Databricks CICD Playlist: [ Ссылка ]
5. Azure Databricks Playlist: [ Ссылка ]
6. Azure End to End Project Playlist: [ Ссылка ]
7. End to End Azure Data Engineering Project: [ Ссылка ]

– – – Let’s Connect: – – –

Email: mrktalkstech@gmail.com
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.

– – – Support me: – – –

Please Subscribe: [ Ссылка ]

#AzureDataEngineering #MicrosoftAzure #DataFactory #SynapseAnalytics #DataIngestion #DataTransformation #DataScience #DataAnalytics #CloudComputing #BigData #DataIntegration #DataWarehousing #DataVisualization #ETL #PowerBI #AzureServices #CloudDataEngineering #AzureSQL #DataLake

свернуть