---
url: "https://xcademia.com/courses/streaming-data-foundations"
title: Streaming Data Foundations
description: "Learn streaming data and Kafka fundamentals with hands-on labs. Build event-driven pipelines and real-time systems in this 2-day course."
publishedAt: "2026-03-17T10:18:56.35102+00:00"
updatedAt: "2026-05-12T12:06:52.65397+00:00"
type: course
code: "AID-0045"
level: Practitioner
duration_days: "2"
track: "Data Engineering & Warehousing"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "1799"
---

# Streaming Data Foundations

> Learn streaming data fundamentals through mentor-led sessions and practical scenarios. Build event-driven pipelines using Kafka concepts and real-world streaming use cases.

## Overview

This mentor-led Streaming Data Foundations programme introduces learners to the principles of real-time data processing and event-driven architecture. Participants gain a strong understanding of how modern organisations process and react to data streams using distributed systems like Kafka.

Through practical scenarios, learners explore core streaming concepts including producers, consumers, topics, partitions, and event design. The course focuses on building reliable, scalable pipelines that support real-time analytics and operational systems.

By the end of the programme, participants will be able to design and implement event-driven pipelines, understand trade-offs in streaming systems, and apply best practices for scalability, fault tolerance, and performance in real-world environments.

## Prerequisites

- Basic programming knowledge (Python/Java helpful)
- Understanding of data pipelines or data engineering concepts
- Familiarity with distributed systems helpful

## What you will learn

- Understand streaming data and event-driven architectures
- Work with Kafka concepts and components
- Design and build streaming data pipelines
- Process real-time data effectively
- Ensure scalability and reliability in streaming systems
- Monitor and optimise streaming workflows

## Skills you will gain

- Streaming data processing
- Kafka architecture and concepts
- Event-driven system design
- Real-time data pipelines
- Stream processing techniques
- Scalability and fault tolerance
- Monitoring and observability

## Career progression

- Data Engineer
- Streaming Data Engineer
- Big Data Engineer
- Backend Engineer (Event-Driven Systems)
- Data Platform Engineer

## Curriculum

1. **Module 1**
2. **Module 2**
3. **Module 3**

## Exam & certification

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**1. What is streaming data?**

Streaming data is data processed continuously in real time as it is generated.



**2. What is Kafka?**

Kafka is a distributed event streaming platform used to build real-time data pipelines.



**3. Is this course hands-on?**

Yes. Participants design and build streaming pipelines.



**4. What is event-driven architecture?**

It is a system design where components communicate through events in real time.



**5. What roles benefit from this course?**

Data engineers, backend engineers, and professionals working with real-time systems.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0045 |
| Duration | 2 days |
| Level | Practitioner |
| Track | Data Engineering & Warehousing |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £1799 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Streaming Data Foundations](https://xcademia.com/courses/streaming-data-foundations). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/streaming-data-foundations
- Publisher: Xcademia — https://xcademia.com
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