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Stream Analytics

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May 1, 2024 3 minute read

Stream Analytics is a powerful tool that enables organizations to analyze and process real-time data streams. It allows businesses to gain insights from data as it is generated, enabling them to make informed decisions and respond to changing conditions quickly. Stream Analytics is becoming increasingly important in various industries, including finance, healthcare, manufacturing, and retail.

Why Learn Stream Analytics?

There are numerous reasons why you might want to learn Stream Analytics. Here are a few:

Path to Stream Analytics

Take the first step.

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

Sorted from most relevant to least relevant:

DP-203: Processing in Azure Using Streaming Solutions

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Azure Event Hubs for .NET 2 Developers: Fundamentals

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Create IoT Solutions in Microsoft Azure

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Getting started with Azure IOT Hub

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Reading list

We've selected three 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 Stream Analytics.

Stream Processing with Apache Flink

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A comprehensive overview of Apache Flink, a popular open-source stream processing framework. Covers advanced topics such as state management, fault tolerance, and complex event processing.

Stream Processing with Apache Flink

Paperback

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Stream Processing with Apache Flink

Kindle Edition

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Machine Learning for Data Streams

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Covers the application of machine learning techniques to real-time data streams. Provides an overview of machine learning algorithms, stream data processing, and real-world examples.

Machine Learning for Data Streams: with Practical...

Hardcover

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Machine Learning for Data Streams: with Practical...

Kindle Edition

Building Cloud Apps with Microsoft Azure

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An introductory guide to using Azure Stream Analytics for real-time data processing. Suitable for beginners, it provides step-by-step instructions and examples to help readers build and deploy stream processing solutions.

Building Cloud Apps with Microsoft Azure

Paperback

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Building Cloud Apps with Microsoft Azure

Kindle Edition

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Relevant careers

Data Analyst

Data Engineer

Software Engineer

DevOps Engineer

Business Analyst

Data Scientist

Information Technology Specialist

Database Administrator

System Administrator

Cloud Architect

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