Streaming Data Processing Courses and Certifications

GOTO Conferences

Applications in the Emerging World of Stream Processing

Explore real-time stream processing applications with Apache Kafka co-creator Neha Narkhede. Learn how to harness continuously changing data for modern businesses and analytical processes.

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

Devoxx

Scalable Stream Processing - A Survey of Storm, Samza, Spark and Flink

Comprehensive overview of popular stream processing systems for real-time Big Data analytics, comparing Storm, Samza, Spark, and Flink. Explores use cases, architectures, and trade-offs for low-latency data processing.

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

GOTO Conferences

Modern Event-driven Architecture - Adopting Data in Motion

Explore event-driven architectures and data in motion, covering Kafka, event streams, and principles for effective implementation. Learn to leverage real-time data for business success.

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

Devoxx

A Deep Dive into Apache Kafka - This is Event Streaming

Explore Apache Kafka's architecture, concepts, and best practices. Learn about topic partitioning, consumer groups, and stream processing. Gain expertise in Kafka APIs for high-performance, reliable event streaming applications.

• YouTube
• 2 hours 5 minutes
• Self-Paced
• Conference Talk

Devoxx

Apache Kafka and KSQL in Action - Let’s Build a Streaming Data Pipeline

Explore real-time data streaming with Apache Kafka and KSQL. Build a pipeline, filter events, enrich data, and detect anomalies using SQL-like syntax. Hands-on demo of Kafka Connect and KSQL in action.

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

Devoxx

Apache Kafka and KSQL in Action - Let's Build a Streaming Data Pipeline

Build real-time streaming data pipelines using Apache Kafka, Kafka Connect, and KSQL. Learn to filter events, enrich data streams, and perform streaming aggregates for anomaly detection.

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

Devoxx

How Uber Builds Reliable Redeliveries and Dead Letter Queues with Apache Kafka

Explore Uber's fault-tolerant system using Apache Kafka for reliable redeliveries and dead letter queues in distributed systems, ensuring graceful handling of failures at massive scale.

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

Devoxx

Introduction to Apache Kafka as Event-Driven Open Source Streaming Platform

Explore Apache Kafka's capabilities as an event-driven streaming platform, including Kafka Connect, Streams API, and Confluent Platform components. Includes live demos and real-world applications.

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

Devoxx

What Every Programmer Has to Know About Database Storage

Explore database storage evaluation techniques to choose the best storage for your data needs, understanding trade-offs as you scale and plan for growth in Big Data environments.

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

Devoxx

A Practical Introduction to Akka Streams

Explore Akka Streams through live coding, covering basics and advanced uses in reactive stream processing. Learn practical implementation techniques for real-world scenarios.

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

NDC Conferences

Thirteen Ways of Looking at a Turtle - Functional Programming in Practice

Explore 13 functional programming techniques through turtle graphics implementations, covering topics from partial application to interpreter patterns in this comprehensive overview.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Conference Talk

JetBrains

A Playful Introduction to Rx - Programming a Platform Game

Explore Rx through game development: Create a platform game featuring a friendly bug, learning key Rx concepts in a fun, practical way with Erik Meijer's engaging tutorial.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Confluent

What is a Headless Data Architecture? - Understanding the Modular Approach to Data Management

Explore headless data architecture: decouple computation from storage, enable modular ecosystems, and streamline data processing for real-time and analytical use cases.

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

Confluent

Event Time and Watermarks in Apache Flink

Explore event time, processing time, and watermarks in Apache Flink for effective stream processing and window operations.

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

The ASF

Creating a Kafka Streams Application

Develop a Kafka Streams application using KStream types and configurations for efficient data processing and analysis.

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