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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Enabling predictive maintenance using automated IoT data pipelines (sponsored by BMC)

Basil Faruqui (BMC Software)
2:55pm–3:35pm Wednesday, 09/12/2018
Sponsored
Location: 1E 06
Average rating: **...
(2.00, 1 rating)

What you'll learn

  • Learn how to simplify the automation and orchestration of an IoT-driven data pipeline in a cloud environment where machine learning algorithms predict failures

Description

Are you struggling to build automated and scalable IoT-driven data pipelines when looking to exploit IoT data to move from reactive to predictive maintenance and services?

Basil Faruqui demonstrates how to simplify the automation and orchestration of an IoT-driven data pipeline in a cloud environment where machine learning algorithms predict failures. Basil then walks you through a demo that showcases an automated data pipeline built using a jobs-as-code approach that dynamically provisions cloud infrastructure with AWS EMR, ingests sensor data, processes the data using Spark, moves the data out of EMR, and alerts and notifies the user about potential failures before terminating the cluster.

This session is sponsored by BMC.

Photo of Basil Faruqui

Basil Faruqui

BMC Software

Basil Faruqui is lead solutions manager at BMC, where he leads the development and execution of big data and multicloud strategy for BMC’s Digital Business Automation line of business (Control-M). Basil’s key areas of focus include evangelizing the role automation plays in delivering successful big data projects and advising companies on how to build scalable automation strategies for cloud and big data initiatives. Basil has over 15 years of industry experience in various areas of software research and development, customer support, and knowledge management.