VENUE: Steve Jobs Technology Lab [IT-LAB-2]
Coordinator : Dr. R. Rajkumar
Co- coordinator : Dr. R. Anand
Objective of Technical Training
The aim of this one day technical training is to bring active research faculties of Information Technology department on a single forum to promote the placement activity by giving valuable lectures to final year students on the topic of Emerging Trends in Information Technology. The student attendees will greatly benefit from this technical training as it covers the cutting edge Technologies and research challenges in Big Data Technology and Internet of Things (IoT). In addition, the student will get more awareness on emerging trends used in today’s IT Industries. This awareness will make the final year students to easily cope with placement activities by enriching more knowledge on emerging trends apart from academic curriculums. This technical training seeks to boost the placement activities of final year students of Department of Information Technology, KCG College of Technology.
Topics to Be Covered
- Introduction to Big Data Technology
- Architecture of Hadoop Distributed File System
- HDFS Commands and MapReduce Programming
- Database used in Big Data Technology
- Middleware used in Big Data Technology
- Introduction to Internet of Things (IoT)
- Basics of Arduino Uno and other IoT based Technologies
Session 1 Introduction to Big Data Technology
- What is Big Data?
- Characteristic of Big Data
- Why Big-data?
- Types of Tools Typically used in Big-Data Scenarios
- Distributed Infrastructure
- Distributed Processing
- MapReduce
- High Performance Schema-free Databases
- When Big-data is really a Hard Problem?
- Meaningfulness of Analytic Answers
- What are “a typical” operators on Big-data?
- Analytical operators on Big-data?
Session 2 Architecture of Hadoop Distributed File System, HDFS Commands and MapReduce Programming [Dr. R. Rajkumar]
- Hadoop Ecosystem Core Components
- HDFS Architecture
- Common Hadoop Shell Commands
- Anatomy Of File Read
- Anatomy Of File Write
- Secondary Namenode
Session 3 Introduction to Internet of Things (IoT)
- IoT Definitions
- Characteristics of IoT
- IoT Layered Architecture
- RFIDs
- Wireless Technologies
- Sensor Networks
- Middleware
- Service Oriented Architecture
- Recent protocols for IoT
Session 4 Basics of Arduino Uno and Other IoT based Technologies
- Convergent Digital Home Network
- Driving Forces of IoT
- IoT in the Research Community
- Ubiquitous Computing Applications
- Cyber Physical Systems (CPS) Applications
- Smart and Connected Health Applications
Session 5 Database used in Big Data Technology
- Spark SQL
- HBase
- Hive
- NoSQL Data bases
- MongoDB
- CouchDB
- Terrastore
- OrientDB
- RavenDB
- Cassandra