Streaming Data Processing Courses and Certifications

Amazon Web Services;  Amazon

Amazon Managed Streaming for Apache Kafka (MSK) Getting Started

Master real-time data stream processing with Apache Kafka on AWS by learning cluster creation, topic management, and data handling through Amazon MSK's fully managed infrastructure.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Amazon Kinesis Data Streams - Getting Started

Master real-time data processing with Kinesis Data Streams, covering stream creation, data sending, and consumption. Build scalable applications for analytics, monitoring, and machine learning on AWS.

• AWS Skill Builder
• 50 minutes
• Self-Paced
• Free Certificate

The Data Engineering Bootcamp: Zero to Mastery

Discover end-to-end data engineering with real-time pipelines using Kafka & Flink, AWS data lakes, Spark ML workflows, and LLM integration for production-ready systems.

• Zero To Mastery
• 17 hours
• Self-Paced
• Paid Course

Credential

Fundamentals of Apache Kafka

Master Apache Kafka architecture, producers, consumers, and stream processing to build reliable real-time data pipelines with delivery semantics and ecosystem tools.

• Zero To Mastery
• 2 hours
• Self-Paced
• Paid Course

Credential

Fundamentals of Apache Flink

Master Apache Flink fundamentals in 2 hours: build real-time stream processing systems, work with DataStream API, manage windows and state, integrate with Kafka, and optimize production jobs.

• Zero To Mastery
• 2 hours
• Self-Paced
• Paid Course

Implement a Data Streaming Solution with Azure Stream Analytics

Implement a Data Streaming Solution with Azure Streaming Analytics

• Microsoft Learn
• 3 hours 2 minutes
• Self-Paced
• Free Online Course

Devoxx

Building Event-Driven Microservices with Apache Kafka

Learn to build event-driven microservices using Apache Kafka. Explore asynchronous communication, distributed logs, and stream processing for loosely-coupled, scalable architectures.

• YouTube
• 51 minutes
• Self-Paced
• Conference Talk

Sundeep Saradhi Kanthety

Input-Output Functions - Java Programming

Learn efficient input-output operations in Java using BufferedReader class. Enhance your programming skills with practical examples and best practices for handling data streams.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Google Cloud Tech

Getting Started with Apache Beam

Discover Apache Beam fundamentals through WordCount examples, stream processing, late data handling, and data joining techniques for scalable data pipelines.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Confluent

Building Apache Flink Applications in Java

Master real-time data processing by building Java applications with Apache Flink, covering streaming, transformations, Kafka integration, and stateful operations.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Confluent

Apache Flink 101 - Introduction to Stream Processing

Discover Apache Flink's core principles through hands-on SQL exercises, covering stream processing, runtime architecture, Kafka integration, and stateful processing fundamentals.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Databricks

Demystifying Delta Lake - Data Reliability for Data Lakes

Explore Delta Lake's reliability features for data lakes with Apache Spark creator Michael Armbrust. Learn about ACID transactions, metadata handling, and unified data processing.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Meta

Full-Stack Flux Architecture in React.js - React.js Conf 2015

Explore full-stack Flux architecture, its advantages in scaling actions and queries, and how it can revolutionize backend development for more efficient and scalable web applications.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

ChariotSolutions

Storm: Realtime Distributed Computing with Nathan Marz - ETE 2012

Explore Storm for real-time data processing, covering concepts, development, deployment, fault-tolerance, and practical applications in distributed computing environments.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

GOTO Conferences

Stream All Things - Patterns of Modern Data Integration

Explore modern data integration patterns, focusing on event streaming with Apache Kafka. Learn about microservices, compatibility, and innovative approaches to handling complex data challenges.

• YouTube
• 49 minutes
• Self-Paced
• Conference Talk