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Streaming Data Analytics

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May 14, 2024 4 minute read

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Streaming Data Analytics is a specialised branch of data analytics that deals with the analysis of data that is generated in real-time or near-real-time. Unlike traditional data analytics, which operates on historical data, Streaming Data Analytics processes data as it is being created. This enables organisations to gain insights from data as it is generated, allowing them to make more informed and timely decisions.

Why Learn Streaming Data Analytics?

There are several reasons why individuals may choose to learn Streaming Data Analytics. Some of these reasons include:

Path to Streaming Data Analytics

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We've curated two courses to help you on your path to Streaming Data Analytics. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Building Resilient Streaming Analytics Systems on Google Cloud

Building Resilient Streaming Analytics Systems on Google...

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Building Resilient Streaming Analytics Systems on Google Cloud

Building Resilient Streaming Analytics Systems on Google...

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Reading list

We've selected five 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 Data Analytics.

Data Mining

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Provides an extensive overview of the fundamentals and advanced topics of streaming data analytics and will be very useful for learning about core methods in this topic. Algorithms are presented in pseudocode for easy understanding and adopting.

Streaming Systems

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Gives an introduction to stream processing with a focus on the Google Cloud DataFlow model, a popular data processing service on the cloud.

Streaming Systems: The What, Where, When, and How...

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Streaming Systems: The What, Where, When, and How...

Kindle Edition

Introduction to Internet of Things (IoT)

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Focuses on the techniques, architectures, and algorithms required to process streaming data in real-time. It presents applications in IoT, HIoT, and cloud computing.

Introduction to Internet of Things (IoT)

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Introduction to Internet of Things (IoT)

Kindle Edition

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Stream Processing with Apache Flink

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Provides a comprehensive guide to Apache Flink, an open-source stream processing framework, and it shows how to build end-to-end streaming applications for real-time analytics.

Stream Processing with Apache Flink

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Stream Processing with Apache Flink

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Data Engineering with Apache Spark, Delta Lake, and...

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Focuses on teaching how to use Apache Spark for streaming data analytics. It provides a practical introduction to the fundamentals of Spark Streaming and shows how to use it for streaming data analysis.

Data Engineering with Apache Spark, Delta Lake, and...

Kindle Edition

Relevant careers

Data Scientist

Data Analyst

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