Processing Big Data using Apache Hive & Microsoft Azure Machine Learning Studio

Welcome to yet another episode of the Colombo Big Data Meetup! (https://www.meetup.com/LKBigData/)

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Entrance FREE | Refreshments Provided

Facebook: https://web.facebook.com/ColomboBigDataMeetup/

YouTube: https://www.youtube.com/channel/UCTjFbpYg9uMTc9bXYXOrAaA/live

Twitter: https://twitter.com/BigData_Meetup

@BigData_Meetup (https://twitter.com/BigData_Meetup)

SESSION #1: Processing data using Apache Hive

SPEAKER: Dinesh Priyankara, Microsoft MVP, Founder / Principal Architect at dinesQL

Previously-ignored-data has suddenly become the most important part of the business and it needs to be processed just as the way we process standard, relational data. Yes, it is called as BigData, unstructured data or semi-structured data. Being a database engineer, initially it was a big challenge for us because processing was not that easy with unfamiliar languages but with the introduction of Apache Hive which provides SQL-like interface, processing data has become easy. Let’s discuss about Apache Hive and see how it assists us on processing Big Data.

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Dinesh is an MVP (Microsoft Most Valuable Professional) and an experienced professional and database enthusiast with skills in database management systems and business intelligence, especially on the Microsoft SQL Server product suite. Possessing over 16 years of experience on data related technologies, he does consulting, training and implementations related to data solution.

Dinesh is the Founder/Principal Architect of dinesQL (Pvt) Ltd (http://dinesql.com (http://dinesql.com/) ). In his spare time he runs a blog at http://dinesql.blogspot.com (http://dinesql.blogspot.com/) with a follower base of over 100,000 from around the world and is a co-organizer of SQL Server Sri Lanka User Group ( https://www.meetup.com/ssslug/ ) and Colombo Big Data Meetup ( https://www.meetup.com/LKBigData/ ).

Dinesh maintains his speaker profile at: http://rateevent.com/dineshpriyankara

SESSION #2: Forecasting Seasonal Effects in Business Data (Time Series Modeling) Using Microsoft Azure Machine Learning Studio.

SPEAKER: Samudra Kanankearachchi, Software Architect / Data Science Specialist 99X Technology.,

Businesses use forecasting extensively to make predictions such as demand, capacity, budgets and revenue. Among these different forecasting models identifying seasonal patterns in data can go a long way by providing seasonal insights to the business decision makers so that they can strategize for seasonal effects.

We start the session with introduction to Time Series Modeling and walk through few use cases. Then we will dive deep into technical aspects of Time Series Modeling. Finally, we will go through Demo of a time series modeling using Microsoft Azure Machine Learning Studio.

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Samudra Kanankearachchi is a Software Architect / Data Science Specialist 99X Technology., He is interested in data science and analytics. Prior to joining 99X Technology, Samudra worked with VirtusaPolaris and Tandon Lanka. Currently he is reading for his Doctor of Philosophy (Ph.D.), in Big data and Semantic Web Technologies at University of Colombo.

Entrance FREE | Refreshments Provided

Facebook: https://web.facebook.com/ColomboBigDataMeetup/

YouTube: https://www.youtube.com/channel/UCTjFbpYg9uMTc9bXYXOrAaA/live

Twitter: https://twitter.com/BigData_Meetup

@BigData_Meetup (https://twitter.com/BigData_Meetup)