Perth SQL Server User Group

Event

Next Meeting: Thu, Sep 28 2017

Big Data and Predictive Analytics with HDInsight and Spark

Language: English
Event Type: In-Person
Online Meeting URL: None
RSVPURL: https://www.eventbrite.com/myevent?eid=38076768640

Abstract               
The focus of the session will be big data engineering, using HDInsight and Spark, and big data driven predictive analytics, using Spark Machine Learning. Real life examples will be demonstrated, backed up with theory and best practices. A short demo will also be provided within the given timeframe.  

Speaker Bio        
Supriya is passionate about data and how it can generate sustainable competitive advantage for business. He has 14 years of industry experience in business intelligence, algorithm design for supply chain optimisation, data architecture, data governance, data engineering, data science, and predictive analytics. He is presently leading the national big data and data science practice in Velrada. Supriya is also pursuing PhD (part time) on big data driven machine learning in IoT context, from the University of Western Australia

When

iCal
UTC : Thu, Sep 28 2017 09:00 - 11:00
Event Time : Thu, Sep 28 2017 17:00 - 19:00 (UTC+08:00) Perth
Your Local Time: Thu, Sep 28 2017 09:00 - 11:00

Where

Level 18
Perth, WA

Direction: None

Featured Presentation

Big Data and Predictive Analytics with HDInsight and Spark

Speaker: Supriya Guha, Data Scientist Velrada

Summary: The focus of the session will be big data engineering, using HDInsight and Spark, and big data driven predictive analytics, using Spark Machine Learning. Real life examples will be demonstrated, backed up with theory and best practices. A short demo will also be provided within the given timeframe.

About Supriya: None

Attachments

PASSChapterLogo100.jpg 

PASS provides the Perth SQL Server User Group with this website and other resources.

Microsoft provides us with a venue in which to host our meetings once a month.

OnCall DBA provides us with complimentary refreshments each month.

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