Data Streaming Courses and Certifications

Build Streaming Data Pipelines on Google Cloud

1266 ratings at Coursera

Learn to build real-time streaming data pipelines on Google Cloud using Pub/Sub, Dataflow, BigQuery, and Bigtable. Gain hands-on experience in processing, transforming, and analyzing streaming data for business insights.

• Coursera
• 8 hours 11 minutes
• Self-Paced
• Paid Course

Devoxx

Data Streaming for Microservices Using Debezium

Explore change data capture with Debezium for real-time data streaming in microservices. Learn implementation, use cases, and live demo of setting up streams without code changes.

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

Conf42

Best Practices to Manage AWS Streaming Data Pipeline at Scale

Learn best practices for managing AWS streaming data pipelines at scale, covering data distribution, large record processing, schema registry, and validations.

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

CodeWithYu

Realtime Socket Streaming with Apache Spark - End-to-End Data Engineering Project

Build a real-time data streaming pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka, and Elasticsearch. Process 7 million records for sentiment analysis and efficient data indexing.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

Introduction to Apache Kafka

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Devoxx

The End of Polling - Why and How to Transform a REST API into a Data Streaming API

Explore real-time data streaming technologies like WebSockets and Server-Sent Events. Learn to transform static APIs into dynamic streams, optimize data transfer, and apply streaming to innovative use cases like drone control.

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

Devoxx

Fast Cars, Big Data - How Streaming Can Help Formula 1

Explore real-time data streaming and analysis in Formula 1 racing using Apache Kafka, Spark, and Drill. Learn how to capture, process, and visualize high-volume automotive data for performance insights.

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

Devoxx

Streaming Data for the Cloud Native Generation

Explore event-driven architectures, stream processing, and data management in cloud-native systems. Learn how to capture, stream, and process events, and manage stateful operations in microservices and FaaS environments.

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

ACCU Conference

Asynchronous I/O and Coroutines for Smooth Data Streaming

Explore asynchronous I/O with io_uring and C++20 coroutines for enhanced program responsiveness. Learn to write efficient, parallel-like code without threading complexities.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Conference Talk

Data Council

Change Data Streaming Patterns with Debezium and Apache Flink

Explore change data capture with Debezium and Apache Flink for microservices. Learn outbox pattern, strangler fig pattern, and saga orchestration for reliable data exchange and long-running transactions.

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

Google Cloud Tech

Bringing Machine Learning to Streaming Data with a Few Lines of Code

Explore ML-powered stream processing with Dataflow and Apache Beam. Learn about Dataflow ML's integration with Vertex AI and Etsy's customer analytics platform journey.

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

GOTO Conferences

Apache Kafka and Apache Iceberg: Real-Time Data Streaming into Modern Data Lakes

Explore the integration of Apache Kafka and Iceberg for efficient real-time data streaming into data lakes, covering ACID transactions, schema evolution, and practical implementation using Confluent Tableflow.

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

Confluent

Data Pipelines Evolution from Batch to Streaming

Explore the evolution from batch to streaming data pipelines using Apache Flink and Kafka. Learn strategies for seamless transition, including query-based connectors, change data capture, and handling late events.

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

Confluent

Kafka, Flink, and Beyond: Current Developments and Future Innovations in Data Streaming - 2023

Explore recent advancements, upcoming improvements, and innovative applications in Kafka and Flink data streaming. Gain insights from industry leaders on tiered storage, queues, use cases, and two-phase commit protocol.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Confluent

The Future of Streaming Data - Challenges and Opportunities

Explore the future of streaming data, focusing on managing complex data connections, adopting Kafka internally, and addressing challenges in data governance, security, and movement across organizations.

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