Скачать или смотреть Real-Time Analytics with Apache Spark | Stream Processing Explained

Unlock the power of real-time data analytics with Apache Spark Structured Streaming! In this video, we’ll walk you through the fundamentals of streaming data pipelines, how Spark processes data in near real-time, and how to build scalable architectures for modern analytics workloads.

You’ll learn:

What real-time analytics is and why it matters

The difference between batch and stream processing

How Spark Structured Streaming works

How to connect Spark to data sources like Kafka or socket streams

Example use cases for fraud detection, monitoring, and alerting

We also demo a real-time pipeline that ingests and analyzes data live—perfect for developers, data engineers, and architects building modern data platforms.

📦 Technologies Covered:

Apache Spark

Spark Structured Streaming

🔧 Ideal for:

Data Engineers

Backend Developers

Streaming Pipeline Architects

Cloud and Big Data Enthusiasts