We may earn an affiliate commission when you visit our partners.

Streaming Analytics

Save
May 1, 2024 Updated June 18, 2025 20 minute read

Understanding Streaming Analytics: A Comprehensive Guide

Streaming analytics, at its core, is the practice of processing and analyzing data as it is created, in real-time or near real-time. This continuous flow of data, often referred to as data streams, can originate from a multitude of sources such as sensors in Internet of Things (IoT) devices, website clickstreams, financial transactions, social media feeds, and application logs. The primary goal of streaming analytics is to extract immediate insights from this data "in motion," enabling organizations to make timely decisions, detect patterns, identify anomalies, and trigger actions instantaneously.

Path to Streaming Analytics

Take the first step.
We've curated six courses to help you on your path to Streaming Analytics. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Share

Help others find this page about Streaming Analytics: by sharing it with your friends and followers:

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Streaming Analytics.
Provides a practical guide to building and deploying streaming data analytics systems. It covers topics such as data ingestion, stream processing, and data visualization.
Provides a practical guide to using Apache Flink for stream processing. It covers topics such as data ingestion, stream processing, and data visualization.
Covers the use of machine learning for analyzing streaming data. It covers topics such as online learning, adaptive learning, and distributed learning.
Covers the new algorithms for big data analytics. It covers topics such as data mining, machine learning, and deep learning.
Provides a broad overview of the field of big data analytics, including topics such as data management, data analysis, and data visualization.
Provides a gentle introduction to the concepts of streaming analytics. It covers topics such as data ingestion, stream processing, and data visualization.
Table of Contents
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser