Kalinga University Raipur, Best University in Chhattisgarh UGC-approved
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About Internship Program

● Learn job critical skills like Big Data & Hadoop frameworks, and leverage the functionality of AWS services.

● The Big Data Engineer course helps you learn to use the database management tool and MongoDB via interactive sessions & projects.

Advantages

● Understand Big Data and its analytics in the real world.

● Analyze the Big Data framework like Hadoop and NoSQL to efficiently store and process Big Data to generate analytics.

● Design of Algorithms to solve Data-Intensive Problems using the Map Reduce Paradigm.

● Design and Implementation of Big Data Analytics using pig and spark to solve data-intensive problems and generate analytics.

● Design and Implementation of Big Data Analytics using pig and spark to solve data-intensive problems and generate analytics.

● Implement Big Data Activities using Hive.


Who Should Attend

Beneficial for - Students of UG/PG Programs & Research Scholars of Information Technology and Computer Science, etc.


Program Details

  • Duration: 45 days
  • Date: 23rd May to 6th July 2023
  • Monday to Saturday
  • Time: 10:00 am to 4:00 pm
  • Venue: Kalinga University
  • Program Fee: 10 ,000/-


Program Schedule


Module-I
Introduction to BIG DATA
S.No. Topics Duration
01 Introduction to Big data
02 The three Vs of big data
03 The value—and truth—of big data
04 The history of big data 5 days
05 Big data use cases
06 Big data challenges
07 How big data works

Module-II
Introduction to Enabling Technologies for Big Data
S.No. Topics Duration
01 Predictive Analytics
02 NoSQL Databases
03 Knowledge Discovery Tools
04 Stream Analytics, In-memory Data Fabric
05 Distributed Storage 5 days
06 Data Virtualization
07 Data Integration
08 Data Preprocessing
09 Data Quality

Module-III
Introduction to Big Data Platforms
S.No. Topics Duration
01 Apache Hadoop, Apache storm
02 Cloudera
03 Amazon Web Services 5 days
04 Oracle
05 Snowflake

Module-IV
Big Data and Analytics
S.No. Topics Duration
01 Classification of Digital Data
02 Structured and Unstructured Data
03 Data Warehouse 5 days
04 Environment Big Data Analytics
05 Classification of Analytics
06 Big Data Analytics importance

Module-V
Introduction to Mongodb and Mapreduce
S.No. Topics Duration
01 Why Mongo DB
02 Terms used in RDBMS and Mongo DB
03 Data Types 5 days
04 MongoDB Query Language
05 Introduction to Big Data

Module-VI
Introduction to Mapreduce
S.No. Topics Duration
01 Introduction to Mapreduce
02 Mapper- Reducer
03 Combiner - Partitioner 5 days
04 Searching
05 Sorting
06 Compression

Module-VII
Introduction to Hive and Pig
S.No. Topics Duration
01 Introduction to Hive
02 Introduction to Architecture
03 File Formats
04 Hive Query Language Statements 5 days
05 Partitions – Bucketing – Views
06 Features – Philosophy - Use Case for Pig - Pig Latin Overview -
Pig Primitive Data Types
07 Complex Data Types - Piggy Bank - User-Defined Functions -
Parameter Substitution – Diagnostic
08 Example using Pig Technology


Module-VIII
Introduction to Data Analytics with R
S.No. Topics Duration
01 Introduction to Machine Learning
02 Supervised Learning
03 Unsupervised Learning
04 Regression Model
05 Clustering 10 days
06 Collaborative Filtering
07 Associate Rule Making
08 Decision Tree
09 Big Data Analytics with BigR

Resource Persons

  • Mr. Omprakash Dewangan
    HoD Incharge
    Dept. of Computer Science & Faculty of Information Technology
  • Mr. Pawan Kumar Jaiswal
    Assistant Professor
    Faculty of Information Technology


REGISTER NOW

Note

1. Accommodation facility is available on a chargeable basis: Rs 6,500/- for 45 days inclusive of Food (Air Cooled Room- 4 Students/Room, 3 Meals per day & other amenities).

2. Transport Facility available from common pickup point (Free).

Steps For Registration

Step 1:

Participants have to make payment on the given bank details


Account Name
Kalinga University

Bank Name
ICICI Bank

A/c No.
390701000010

IFSC Code No.
ICIC0003907

SWIFT CODE
ICICINBBCTS

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Step 2:

Take screenshot of the payment & send it to omprakash.dewangan@kalingauniversity.ac.in

Step 3:

Fill out the registration form with all the necessary information


To Register Scan the QR code
Or
Click the Register Now button



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