Real-Time Data Processing Courses and Certifications

Building Realtime Pipelines in Cloud Data Fusion

Learn to create real-time event processing pipelines using Data Fusion and Apache Spark Streaming on Cloud Dataproc, enabling efficient handling of streaming data in Google Cloud.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Using Beam ML to catch Toxicity in Gaming

This is a self-paced lab that takes place in the Google Cloud console.” In this lab, we will use Apache Beam ML RunInference transform to show how with just a few lines of code you can enable a real-time pipeline that will scale with your needs!

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Azure Stream Analytics - Step by Step Guide (DP-200)

6 ratings at Udemy

Learn how to process real time data using Azure stream analytics. Ideal for Beginners

• Udemy
• 1-2 hours
• On-Demand
• Paid Course

Pragmatic AI Labs

Interactive Python Standard Library

Master Python's interactive libraries in this comprehensive course. Learn to create dynamic, responsive applications using cutting-edge tools for data visualization, web interactivity, and real-time user engagement.

• edX
• 4 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Kafka Integration with Storm, Spark, Flume, and Security

Learn advanced real-time data processing with Kafka integration, exploring Storm, Spark, and Flume frameworks. Gain skills in data security, performance tuning, and administrative tasks for robust, scalable systems.

• Coursera
• 3 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Streaming

128 ratings at Udacity

Develop real-time data processing skills using Apache Spark, Kafka, and streaming technologies. Build fluency in modern data engineering tools and create live analytics applications.

• Udacity
• 2 months 2 weeks 3 days 12 hours
• On-Demand
• Paid Course

Apache Storm Certification Training

Learn to process fast, large data streams with Storm architecture. Master Spouts, Bolts, Kafka, and Trident Topology through real-life examples and hands-on practice.

• Edureka
• On-Demand
• Paid Course

Designing Event-driven Applications Using Apache Kafka Ecosystem

125 ratings at Pluralsight

Apache Kafka has become one of the most popular tools available when it comes to enterprise messaging and streaming. In this course, you will learn the basics of creating an event-driven system using Apache Kafka and the ecosystem around it.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Applying the Lambda Architecture with Spark, Kafka, and Cassandra

120 ratings at Pluralsight

This course introduces how to build robust, scalable, real-time big data systems using a variety of Apache Spark's APIs, including the Streaming, DataFrame, SQL, and DataSources APIs, integrated with Apache Kafka, HDFS and Apache Cassandra.

• Pluralsight
• 6 hours 5 minutes
• On-Demand
• Free Trial Available

Getting Started with Stream Processing with Spark Streaming

89 ratings at Pluralsight

The Spark Streaming module lets you to work with large scale streaming data using familiar batch processing abstractions. This course starts with how standard transformations and operations are performed on streams, and moves to more advanced topics.

• Pluralsight
• 2 hours 36 minutes
• On-Demand
• Free Trial Available

Conceptualizing the Processing Model for Azure Databricks Service

46 ratings at Pluralsight

In this course, you will learn about the Spark based Azure Databricks platform. You will see how Spark Structured Streaming processing model works, and then use it to build end-to-end production ready streaming pipeline on Azure Databricks platform.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Kafka Connect Fundamentals

38 ratings at Pluralsight

This course is a technical introduction to Kafka Connect. Learn how to use it to quickly transfer data in and out of the Apache Kafka ecosystem, to and from common data systems like databases, key-value stores, search indexes, and file systems.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Developing Stream Processing Applications with AWS Kinesis

32 ratings at Pluralsight

AWS Kinesis is a powerful service for stream processing. This course also enables users to explore more high-level Kinesis products such as Kinesis Firehose and how to write streaming apps using SQL queries with Kinesis Analytics.

• Pluralsight
• 4-5 hours
• On-Demand
• Free Trial Available

Handling Streaming Data with Apache Pulsar

11 ratings at Pluralsight

Apache Pulsar is a highly scalable, high throughput system that handles both queuing as well as streaming data with incredible ease. This course will teach you all the necessary concepts and tools to adopt Apache Pulsar to your projects.

• Pluralsight
• 2 hours 8 minutes
• On-Demand
• Free Trial Available

Windowing and Join Operations on Streaming Data with Apache Spark on Databricks

11 ratings at Pluralsight

This course will teach you how to leverage windowing, watermarking, and join operations on streaming data in Spark for your specific use cases.

• Pluralsight
• 2 hours 3 minutes
• On-Demand
• Free Trial Available