[Legacy Report] Workshop on “Hadoop Basics"
Workshop on “Hadoop Basics"
a part of
"Machine Learning for Big Data Analytics Series”
Brief Report
8th - 9th April, 2017
Venue: IIIT Hyderabad
Timings: 10: 00 AM to 5:30 PM
Speakers Profile:
Speaker 1: Mr. Arvind Agarwal is working as Lead developer on java/j2ee platform along with Hadoop implementation. He is an experienced trainer in Companies and Institutes. He has good knowledge in Hadoop, Machine learning & Spark
Speaker 2: Mr. Swayam Prakash is the Lead developer as Python, R & Hadoop. He is a trainer in Companies and Institutes. He has vast experience in Python, R, Machine learning and Hadoop Implementation
Topics Covered: Introduction to Big Data and Hadoop, Hadoop Distributed File System,
MapReduce, SQOOP, Pig, Hive basics.
Participants: Total participants 150
IEEE Student members: 30
IEEE-CIS Members: 0
Students (Non IEEE): 120
Support from the Host Institute: Auditorium
Support from Section: Snacks, Lunch, Workshop Kit, Flex, Memento and Certificates.
Feedback:
+ve:
- Most of the participants were happy with the organization of the content and planning of the series of workshops focusing on one particular technology.
- Resource persons are quite interactive.
-ve:
- Lunch arrangements are not properly monitored by the organizers (in particular, on the first day).
- Air conditioning is not maintained throughout the sessions and few ACs wents are not working. Suggested to change the hall.
Date and Time
Location
Hosts
Registration
- Start time: 08 Apr 2017 04:30 AM UTC
- End time: 09 Apr 2017 12:30 PM UTC
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- Co-sponsored by CIS/GRSS Chapter