PluralSight – Microsoft Azure IoT Developer: Configure Stream Processing

PluralSight – Microsoft Azure IoT Developer: Configure Stream Processing Bookware-KNiSO
English | Size: 121.43 MB
Category: Internet


The IoT Hub service in the Microsoft cloud is built to handle messages from millions of devices. This course will teach you how to configure stream processing for Azure IoT Hub

Linkedin Learning – Stream Processing Patterns in Apache Flink

Linkedin Learning – Stream Processing Patterns in Apache Flink-QUiD
English | Size: 211.71 MB
Category: Tutorial


Frameworks such as Apache Flink can help you build fast, scalable stream processing applications, but big data engineers still need to design smart use cases to achieve maximum efficiency. In this course, instructor Kumaran Ponnambalam demonstrates how to use Apache Flink and associated technologies to build stream-processing use cases leveraging popular patterns.

[FreeCoursesOnline Me] PacktPub – Real-Time Data Stream Processing in Azure [Video]

[FreeCoursesOnline Me] PacktPub – Real-Time Data Stream Processing in Azure [Video]
English | Size: 842.73 MB
Category: Tutorial


A modern digital company captures a large amount of data every day. This data gets locked in data islands such as caches, queues, and logs, and extracting this data and making it useful poses a major challenge. Real-time data processing is the most effective alternative to traditional extract, transform, and load (ETL) processes. This course will help you to think of data as an ever-flowing stream of events instead of data as islands locked away in databases.