Unlock the Power of Azure: A Video Playlist for Aspiring Data Engineers and Analysts

Dive into the world of Azure with our comprehensive video playlist designed for data engineers and analysts. From real-time analytics to data wrangling and beyond, this series provides you with the knowledge to leverage Azure's full suite of data services. Enhance your skills, whether you're a beginner or looking to expand your expertise with Azure.

Explore Our Curated Azure Video Series

Our playlist includes in-depth tutorials and demos across various Azure services. Here are 20 must-watch videos from our collection:

1. Twitter Sentiment Analysis with Azure Synapse Analytics | Real time Stream | E2E Big Data Pipeline
2. Real-time Vehicle Telemetry stream processing with Azure Stream Analytics, Event Hub, and Synapse
3. Real-time fraudulent call detection with Azure Stream Analytics and Azure Event Hub
4. Weather Forecast from sensor data, Azure IOT Hub, Stream analytics and Machine Learning Studio
5. What Is Web Scraping And how to do with azure Synapse and Python and Spark Pool
6. How to use PySpark and Spark SQL, MatPlotLib and Seaborn in Azure Synapse Analytics and Spark Pool
7. Streaming Analytics with Azure Databricks, Event Hub, and Delta Lake: A Step-by-Step Demo
8. How to Read Stream Data from Azure Event Hub using Azure Synapse Analytics
9. Azure Data Factory - Incrementally load data from Azure SQL to Azure Data Lake using Watermark
10. Azure Data Factory - Incremental Load From SQL Managed Instance to Lake using Change data Capture
11. Azure Data factory Data wrangling | How to do Data wrangling in Azure Data Factory
12. How to create and use data flow in Azure Data Factory
13. How to use Azure Data Factory with managed virtual network and private endpoints
14. How to Run an SSIS package in Azure Data Factory
15. How to Connect Azure Data Factory with Log Analytics and setup alerts
16. Unload Data from Snowflake to Azure Data Lake Gen2 using Azure Synapse Analytics
17. How to create Self-hosted Integration runtime in Azure Data Factory and Azure Synapse analytics
18. Copy Data from Azure Data Lake gen2 to Snowflake using Azure Synapse Analytics
19. Run R scripts as part of a pipeline through Azure Data Factory using Azure Batch
20. Azure Data Lake Assets(Parquet, Delta, Json, CSV) Discovery using Microsoft Purview | Data Catalog

Why This Playlist?

• Diverse Azure Solutions: From analytics to data processing, explore a wide range of Azure's capabilities.
• Hands-On Learning: Each video includes practical demonstrations, making learning engaging and effective.
• For All Skill Levels: Whether you're just starting out or looking to deepen your Azure knowledge, there's something for everyone.

Join Our Azure Learning Community

Dive into our playlist and start your Azure mastery journey today. Share your progress, insights, and questions in the comments below. Let's grow together in harnessing the power of Azure for data engineering and analytics.