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Enable Real-time Analytics and Machine Learning with Azure Stream

PASS Data Community Summit via YouTube

Overview

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Explore the world of real-time analytics and machine learning with Azure Stream in this 56-minute conference talk from PASS Data Community Summit. Discover how stream analytics has become a crucial component of Enterprise Data platform architectures, complementing batch ETL processes. Learn how to leverage Azure Stream Analytics to gain valuable insights from user-interaction events, application logs, and machine data. Dive into the process of ingesting, processing, and analyzing data streams for various applications, including fraud detection, click stream analysis, sentiment analytics, online recommendations, and IoT scenarios. Gain hands-on knowledge of building streaming jobs that blend and aggregate data in real-time to power live Power BI dashboards. Explore the concept of lambda architecture, which combines stream and batch data processing. Finally, understand how Azure Stream Analytics integrates with Azure Machine Learning to create powerful, data-driven solutions for organizations seeking to transform their operations through advanced analytics.

Syllabus

Enable Real-time Analytics and Machine Learning with Azure Stream - Sriharsh Adari

Taught by

PASS Data Community Summit

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