Data Engineering Zero to Hero: Real-Time Data Processing with Spark Streaming | Part 10

Welcome to Part 10 of the Data Engineering Zero to Hero series! This session introduces you to the world of real-time data processing using Spark Streaming, a powerful tool for handling continuous data streams in distributed environments.

📌 What You'll Learn:

Introduction to Spark Streaming: Understand the basics of streaming data and its importance in real-time applications.
Streaming Architecture: Learn how Spark processes live data using DStreams and Structured Streaming.
Hands-On Examples: Implement real-time data pipelines for scenarios like log processing, sensor data analytics, or real-time dashboards.
Integration with Data Sources: Explore connecting Spark Streaming to data sources such as Kafka, Flume, and sockets.
📚 Who Should Watch:
Ideal for data engineers, developers, and analysts who want to build real-time data solutions and gain expertise in Spark Streaming.

🎥 Watch now to master real-time data processing with Spark Streaming and advance your data engineering skills