PSG Institute of Technology and Applied Research
Pass percentage of our students during "April/May 2018(I, II, III & IV Year) - Anna University Examinations" is 88.12 %  ImagePass percentage of our first year students during "April/May 2018 - Anna University Examinations" is 93.43 %
PSG Institute of Technology and Applied Research
Pass percentage of our students during "April/May 2018(I, II, III & IV Year) - Anna University Examinations" is 88.12 %  ImagePass percentage of our first year students during "April/May 2018 - Anna University Examinations" is 93.43 %
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Counselling Code : 2377
Two Days Workshop on Bid Data Analytics on 25th and 26th August, 2017

A two day workshop on "Big data analytics" was organized by the department of ECE on 25.08.2017 & 26.08.2017 at Computer Center lab. The resource persons for the program are Mr. Prabhakaran (End-to-End Management, Tata Consultancy Service (TCS).), Mr.Arun (Technical manager - Big Data Analytics, Infosys), Mr.Prashanth (Data Science Engineer, Tech Mahindra) and Mr.Senthil (Associate Software Engineer, CTS). 55 students from all classes of ECE attended the workshop.

On Day1, the program was started with prayer song by Ms.Jaishree.G and team. Dr. E. Malar (HOD/ECE) welcomed experts and all participants and then session was handed over to expert team. Introduction to the field of Big data analytics, cloud computing and analysis of three parameters namely Volume, Variety and Velocity (3 V's) which gives big data analytics was covered in the morning session. The basics of LINUX environment was made familiar through hands on training in the afternoon session.

The fore-noon session of Second day started with Hadoop Tool that is used to handle Big Data. Important concepts of Hadoop environment like HIVE (Query Language), FLUME (distributed, reliable, and available service for large data), YARN (Yet Another Resource Negotiator) were taught with hands on practice. The entire class was divided to four networks (cluster) and the hands on session proceeded to demonstrate Big Data analytics. Then the software Fedora used in LINUX and a putty was generated on windows to work on. After making the tool familiarized, "Sentimental analysis on SARAHAH" was carried out by collecting Tweets from the Twitter platform using the keyword 'SARAHAH'. The area that had more tweets about Sarahah was spotted out and was regarded as the "Hotspot". Thus the practical hands on sentimental analysis on a social media opened the book of curiosity in the student's minds and inculcated the basics of Networking and Data Analytics. The feedback was collected from the students participants followed by vote of thanks.


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