Upload
vrkatevarapu
View
215
Download
0
Embed Size (px)
Citation preview
8/10/2019 BigDataAnls2
1/4
VIT
UniversityVellore-632 014, Tamil Nadu, India
www.vit.ac.in
Two day workshop on
Big Data Analytics16th17thOctober 2014
Organized by
TIFAC CORE in AUTOMOTIVE INFOTRONICS(Sponsored by TIFAC, Department of Science & Technology, Govt. of India)
Coordinators
Dr. K. Ganesan, Director, TIFAC CORE & Senior Professor, SITE
Mr. N.S. Manikandan, System Architect, TIFAC CORE
8/10/2019 BigDataAnls2
2/4
TIFAC-CORE in AUTOMOTI VE INFOTRONI CS @VIT ELROS
State of the art advanced engineering center for research, consultancy and manpower
training in Automotive Infotronics is established at VIT University, promoted by TIFAC
(Technology Information Forecast and Assessment Council), under the Mission REACH
program.
Offers a full time PG program in Automotive Electronics to provide industry ready
engineers.
Background
Big datais an all-encompassing term for any collection of data sets so large and complex that it
becomes difficult to process using on-hand data management tools or traditional data processingapplications.The Apache OpenNLP library is a machine learning based toolkit for the processing
of natural language text. A NoSQL or Not Only SQL database provides a mechanismfor storage and retrieval of data that is modeled by means other than the tabular relations used
in relational databases. MongoDB (from "humongous") is a cross-platform document-orientedNoSQL database. 70% time will be devoted on hands on sessions.
Topics Covered: (No prerequisites skills required) Introduction to Big Data
Java programming using Eclipse IDE
Processing Structure, Semi-Structure and Un-Structured data
Open source tools for big data analytics
OpenNLP introduction
Sentence, Tokenization, name entity-extraction and parsing for
Un-Structured data.
Develop the user defined training data
Apply user defined training data to extract information from
Un-structured data.
JSON (JavaScript Object Notation)
NoSQL (Document oriented Database)
MongoDB introduction Installing MongoDB in 32bit Windows PC Document, collection, and database in mongoDB
Insert, delete, update, create ,query, etc. in mongoDB Java mongoDB interaction Replication and Sharding techniques for big data Map-Reduce techniques for big data Analytics Application development
Hands-on sessions.
8/10/2019 BigDataAnls2
3/4
Target Participants: Engineers / Research Scholar / Faculty / Students
REGISTRATION FEES:
Rs. 1500/- per Student
Rs. 3000/- per faculty / Research scholar
Rs. 4000/- per delegate from Industry
Registration charges include course material, lunch & snacks. The number of participants is
limited to forty (40) based on first come first serve.
Payment through DD drawn in favor of TIFAC-CORE VIT University,
Payable at Vellore.
Venue:Room No.: 727, 7th Floor,
Technology Tower,
VIT University, Vellore.
Time:Session Timing: 16thOctober 17thOctober 2014: 9.30 am to 5.30 pm
HOW TO REACH VIT
8/10/2019 BigDataAnls2
4/4
Format for Registration confirmation
Two day workshop on
Big Data Analytics
16th17thOctober 2014
Name: ------------------------------------------------------------
Designation: -----------------------------------------------------
Organization: ----------------------------------------------------
Address: ----------------------------------------------------------
---------------------------------------------------------------------
---------------------------------------------------------------------
Phone: ----------------------Mobile------------------------------
Fax: ------------------------e-mail: -----------------------------
DD Details: (Registration) -------------------------------------
Please complete and mail us above form on or before 15thOctober 2014.
For details about our Centre, visit our web site www.vit.ac.in/tifaccore/
For Registration Details Contact: For Technical details contact:
Mrs. R. Devaki Mr. N.S. ManikandanSecretary, System Architect
TIFAC-CORE in Automotive Infotronics TIFAC-CORE
Room No. 701, 7th Floor, Technology Tower, Room No. 727, 7thFloor, TT
VIT, Vellore-632 014 VIT, Vellore-632 014
Tamil Nadu Tamil Nadu
Ph.:0416-2202381 e-mail: [email protected]: 0416-2244797e-mail [email protected]