HDInsight: Streaming Petabytes of IoT Data in Real-Time

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Description

With HDInsight, you can run managed Big Streaming technologies on Microsoft Azure with a rich suite of open source technologies ranging from Hadoop to Kafka to Spark, enabling a scalable, high-performing and reliable IoT pipeline. We've designed a Hyperscale pipeline that can handle petabytes of streaming data per day for Near Real Time (NRT) predictive analytics. If you have a system which demands real-time ML processing of data from a massive set of connected devices, you need IoT streaming infrastructure. Discover how to use technologies such as Kafka (Ingestion), Spark streaming and SparkML (Processing), HBase and Azure Data Lake (Hyperscale stores) as building blocks to design a performant, reliable and scalable streaming architecture in NRT. Come prepared for a hands-on view of HDInsight including demos.

Day:

3

Level:

Level 300

Session Type:

Breakout

Code:

DA233

Room:

Room 5

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