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Real-Time Data Processing Workshop: Using Apache Kafka and Spark for Live Analytics

Explore the power of real-time data analytics with the "Real-Time Data Processing Workshop: Using Apache Kafka and Spark for Live Analytics." Gain hands-on experience in building robust systems for live data streaming and analysis.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
T101
Course Prerequisites

None

Training Purpose
Functional Development
Management Development
Specific Audience
All
Delivery Method
Online, Self-Paced
  • Online, Self-Paced

Learning Objectives

  • Understand the fundamentals of real-time data processing systems.
  • Learn to design and implement pipelines with Apache Kafka and Spark.
  • Explore techniques for live analytics and event-driven architecture.
  • Develop skills in managing and scaling real-time systems.
  • Apply real-world case studies for processing live data streams.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

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