Data Science

Real-Time Pipelines Tutorials for Data Science

Explore Apache Flink for building robust real-time data pipelines. Learn to process streaming data, perform complex event processing, and create real-time analytics applications. Covers data ingestion, transformation, and output strategies for scalable and low-latency data flows. Focuses on practical implementation and performance optimization.

Tutorials
3
Avg Rating
2.9
Students
1,549

Real-Time Pipelines Tutorials

Udemy
All Levels

Streaming Data Pipeline using Confluent & Azure Platforms

Learn real-time data streaming with Kafka, Azure Functions, Cosmos DB & Power BI. Build a pipeline from scratch! Hands-on experience.

Nilesh ShuklaNilesh Shukla
67
2h
UdemyFree
Beginner

Getting Started with Apache Flink

Learn Apache Flink: a powerful stream processing framework. Build real-time data pipelines & analytics. Master Flink's core concepts & applications.

Anurag KaushikAnurag Kaushik
3.9(17)
1,419
1h
Udemy
All Levels

KSQL Arch Domain: Arquitetura com Kafka, Rabbit, Java e Go

Master Kafka Streams, KSQLDB & RabbitMQ for real-time data pipelines & microservices. Learn Java & Go, boost performance with Kafka Connect.

Felipe Rodrigues | Lead Performance Architect - Software EngineeringFelipe Rodrigues | Lead Performance Architect - Software Engineering
4.8(3)
63
11h
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