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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 one 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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Reading list

We've selected two 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.

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...

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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

Data Engineer

Machine Learning Engineer

Business Analyst

Software Engineer

IT Consultant

Data Architect

Database Administrator

Cloud Architect

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