Big Data Brochure Schedule

ABOUT SNIST Sreenidhi Institute of Science & Technology, (SNIST) Hyderabad, was established in 1997 with the approval of All India Council for Technical Education, Government of Andhra Pradesh and is affiliated to JNTUH, Hyderabad. It is running a number of under graduate and post graduate programmes and is also engaged in research activity leading to Ph.D. Sreenidhi is recognized by Department of Scientific and Industrial Research (DSIR) as scientific and Industrial research organization. The Institution got accredited by NAAC with 'A' Grade and Accredited by NBA of AICTE within 5 years of its existence. It has received World Bank assistance under TEQIP (P-I&II). The institution attained autonomous status from 2010 onwards and it is the first college under JNTUH to get such an autonomous status. SNIST is actively engaged in R&D in the area of Nano Technology and allied fields. Received National Award for Best HRD Practices from Indian Society for Training and Development, which is the first of its kind by an educational institution in the Country. SNIST is rated as number 2 in A.P. State in two consecutive years in 2008 and 2009 by popular magazine Competition Success Review. It is rated as 28th in India heralding into top 1% of Engineering Institutions in India. Received Best Engineering College in AP State Award by ISTE A.P. Section. The faculty of SNIST is actively involved in R&D activities and the results of such research activity have been published. SNIST have several research projects from different sponsoring agencies.

Programmes and Activities 7 UG and 9 PG courses in Engineering sM.B.A. sPh.D Activity sR & D and Consultancy s

ABOUT THE DEPARTMENT s The department of Computer Science and Engineering was started with an objective of meeting the software expertise required for today's IT industry.

A FIVE DAY FACULTY DEVELOPMENT PROGRAMME ON

Big Data (Under TEQIP-II) 15th to 19th December 2014

s The department has an intake of 300 students per year.

s The Department of Computer Science and Engineering has 52 faculty members. s It has two PG Programme one is Software Engineering and other is Computer Science and Engineering. Achievements by the Dept. s UG is Accredited by NBA for 3 years in 2003 and was reaccredited for 5 years in 2007. PG is Accredited by NBA for 3 years in 2014. s Established a centre for excellence in Cryptography and Network Security area. s Established a State of art campus wide network with fiber optic back bone and Wi-Fi. s 100% placement for eligible students in which 90% ended up with two job offers. s Prof. V.Umakanth Sastry, received the “Best Engineering College Faculty Award” in CSE for the year 2008 from the ISTE (AP Chapter). s Dr. Kumar Eswaran awarded the Best Faculty award from CTS in 2014. s Prof. Aruna Varanasi received “Suman Sharma Award” for Securing highest marks among women in India in AMIE exams. s Laxmi Anjana, the student of CSE 2010 batch got Best Outgoing student award from CTS in 2014. s Aradhana Susan Gorge, the student of 3rd year CSE become the Ambassador for Facebook India 2014 and Ambassador for Google 2014-15. s Top 1.42% and 1.5% in OC boys and girls category respectively in EAMCET join in B.Tech. Computer Science Engineering.

Chairman Dr. Aruna Varanasi Head, CSE Department, SNIST

Convener Dr. Prasanta Kumar Sahoo Professor, Dept. of CSE SNIST

Venue: SNIST, Ghatkesar, Hyderabad-501301

Organized by Department of Computer Science and Engineering (CSE) SREENIDHI INSTITUTE OF SCIENCE & TECHNOLOGY (An Autonomous Institution) (Yamnampet, Ghatkesar, Hyderabad-501 301.

Objectives Big data is no more an “industry buzz” and the analytics we glean from it is an “industry necessity” for success. Big data analytics is the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. The workshop aims at (i) to understand the challenges in architecture to store & access the Big data, (ii) to perform analytics on Big data for data intensive applications, (iii) analyzing Hadoop and other related tools that provide SQL-like access to unstructured data NoSql for their critical features, data consistency and ability to scale to extreme volumes, (iv) to introduce application of Big data science that applies to various challenging areas. It paves the way to uncover research issues in the storage and analysis of huge volume of data from the various sources. Come and discover how big is Big Data! Resource Person: Industry experts and Academicians from:

üCyient Head-Analytics üInfosys (Project Lead) üDeloitte (Manager Analytics) üProfessor from IIT, Hyderabad üProfessor from NIT, Warangal üProfessor from IIIT, Hyderabad Registration and Fee Particulars For Registration Contact D. Ram Babu

M. Sathyanarayana

Assistant Professor Assistant Professor Mobile:- 9849770917 9704041445 [email protected], [email protected]

A FIVE DAY FACULTY DEVELOPMENT PROGRAMME ON

Registration Fee Last date of Registration: Academicians Industry Students

Big Data

5-12-2014 Rs.1500 Rs.3000 Rs.750

In the form of a Demand Draft favoring “Principal, SNIST, Hyderabad” payable at Hyderabad on any nationalized bank should reach the Coordinator on or before 5-12-2014.

(Under TEQIP-II) 15th to 19th December 2014 Name Dr / Mr / Ms : ----------------------------------------Designation : -------------------------------------------------Educational Qualification with area of specialisation

The registration fee includes workshop kit, Lunch, Tea and Snacks. Participation will be confirmed on first come first serve basis. Spot Registrations are also allowed. Advisory Committee Dr. K. T. Mahhe Secretary, SNIST, Hyderabad Dr. P. Narasimha Reddy Executive Director, SNIST, Hyderabad Dr. K. Sumanth Principal, SNIST, Hyderabad Dr. V. U. K. Sastry Professor, Dept. of CSE SNIST Dr. Aruna Varanasi Head, CSE Dept. SNIST Dr. Kumar Eswaran Professor, Dept. of CSE SNIST Dr. V. V. S. S. S. Balaram Head Dept of IT SNIST Dr. T.V. Rajinikanth Professor, Dept. of CSE SNIST Dr. Prasanta Kumar Sahoo Professor, Dept. of CSE SNIST Prof. T.V. Narayan Rao

Transportation & Accomodation Participants can avail college buses in fixed routes. Contact person for transportation: Mr.Ragavac hary (9948343486). No accommodation will be provided.

................................................................................ Working organization: --------------------------------------Professional Experience: Teaching : .............................................................. R&D : ...................................................................... Industry: .................................................................. Mailing Address : ………………………………….................................. ………………………………………………………..… …………………........................................................ Phone: ….......…………Mobile: …………………… Email: .….…………………………………………….. Payment Particulars: Draft No……………………………............................ Amount Rs.………………........................................ Bank:.............................. Branch:........................... Place : Date :

Signature of the Applicant

SPONSORSHIP CERTIFICATE Dr / Mr / Ms…………………………………………………....…. is sponsored to attend the FDP on BIG DATA to be held on December 15-19, 2014 under TEQIP-II at SNIST, Ghatkesar, Hyderabad.

Place : Date :

Signature of the Head of the Institution with Seal

SREENIDHI INSTITUTE OF SCIENCE AND TECHNOLOGY Yamnampet, Ghatkesar, Hyderabad - 501 301. (Accredited by NBA, AICTE and Affiliated to JNT University, Hyderabad) (An Autonomous Institute) Department of Computer Science and Engineering. Faculty Development Programme (FDP) On Big Data from (15th to 19th) Dec, 2014. A five days workshop schedule

Date

Session 1 11.00am Session 2 (10.00am to (11.15am to to 11.00am) 11.15am 12.45pm)

12.45p m to 1.15p m Lunch Break

Session 3 (1.15pm to 2.45pm) Social Media analysis including sentiment analysis

2.40pm to 3.00pm

15.12.2014

Inauguration Tea of Break Workshop

Practical machines learning tools for Big Data.

Lunch Break

Tea Break

Predictive Analytics

Lunch Break

Practical applications of Big Data, uses of Big Data technology for science Big Data Security Analytics

Fundamentals of learning From Big Data. Relationship between Small Data And Big Data

16.12.2014

17.12.2014

Tools and Tea Techniques Break for analyzing Big Data

Big Data Analytics

Tea Break

Tea Break

Tea Break

Session 4 (3.00pm to 4.30pm) Introduction to Big Data Analytics focus on Fraud Management

Applications of Big Data to Security, DHS Web, Social Networks, Smart Grid, Industrial Data. Security Intelligence CyberInfrastructures for the Humanities

18.12.2014

What is Big Data? Introduction to Hadoop.

Tea Break

HDFS, Map Reduce

19.12.2014 (Lab Session-II) on other Tools on Big Data

Lunch Break

Lunch Break

(Lab Session-I) HDFS Practical’s

MR Practical

Hive Practical’s (Basic CRUD Operations)

Feed back on theory and practical’s Valedictory Session