Database Management Systems Unit – VI Introduction

myesha-ticknor
Published  · 39 slides · 0 views
↓ Download
Database Management Systems Unit – VI Introduction
1 / 1
Database Management Systems Unit – VI Introduction - slide 1 of 39 Database Management Systems Unit – VI Introduction - slide 2 of 39 Database Management Systems Unit – VI Introduction - slide 3 of 39 Database Management Systems Unit – VI Introduction - slide 4 of 39 Database Management Systems Unit – VI Introduction - slide 5 of 39 Database Management Systems Unit – VI Introduction - slide 6 of 39 Database Management Systems Unit – VI Introduction - slide 7 of 39 Database Management Systems Unit – VI Introduction - slide 8 of 39 Database Management Systems Unit – VI Introduction - slide 9 of 39 Database Management Systems Unit – VI Introduction - slide 10 of 39 Database Management Systems Unit – VI Introduction - slide 11 of 39 Database Management Systems Unit – VI Introduction - slide 12 of 39 Database Management Systems Unit – VI Introduction - slide 13 of 39 Database Management Systems Unit – VI Introduction - slide 14 of 39 Database Management Systems Unit – VI Introduction - slide 15 of 39 Database Management Systems Unit – VI Introduction - slide 16 of 39 Database Management Systems Unit – VI Introduction - slide 17 of 39 Database Management Systems Unit – VI Introduction - slide 18 of 39 Database Management Systems Unit – VI Introduction - slide 19 of 39 Database Management Systems Unit – VI Introduction - slide 20 of 39 Database Management Systems Unit – VI Introduction - slide 21 of 39 Database Management Systems Unit – VI Introduction - slide 22 of 39 Database Management Systems Unit – VI Introduction - slide 23 of 39 Database Management Systems Unit – VI Introduction - slide 24 of 39 Database Management Systems Unit – VI Introduction - slide 25 of 39 Database Management Systems Unit – VI Introduction - slide 26 of 39 Database Management Systems Unit – VI Introduction - slide 27 of 39 Database Management Systems Unit – VI Introduction - slide 28 of 39 Database Management Systems Unit – VI Introduction - slide 29 of 39 Database Management Systems Unit – VI Introduction - slide 30 of 39 Database Management Systems Unit – VI Introduction - slide 31 of 39 Database Management Systems Unit – VI Introduction - slide 32 of 39 Database Management Systems Unit – VI Introduction - slide 33 of 39 Database Management Systems Unit – VI Introduction - slide 34 of 39 Database Management Systems Unit – VI Introduction - slide 35 of 39 Database Management Systems Unit – VI Introduction - slide 36 of 39 Database Management Systems Unit – VI Introduction - slide 37 of 39 Database Management Systems Unit – VI Introduction - slide 38 of 39 Database Management Systems Unit – VI Introduction - slide 39 of 39
Description
Database Management Systems Unit VI Introduction to Big Data, HADOOP: HDFS, MapReduce Prof. Deptii Chaudhari, Assistant Professor Department of Computer Engineering Hope Foundations International Institute of Information Technology, I²IT

Related Topics

Download this presentation From Below

"Database Management Systems Unit – VI Introduction" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Presentation Transcript

01
Database Management Systems Unit – VI Introduction to Big Data, HADOOP: HDFS, MapReduce Prof. Deptii Chaudhari, Assistant Professor Department of Computer Engineering Hope Foundation’s International Institute of Information Technology, I²IT<br>
02
What is Big Data? Big data means really a big data, it is a collection of large datasets that cannot be processed using traditional computing techniques.
Big data is not merely a data, rather it has become a complete subject, which involves various tools, techniques and frameworks.
Big data involves the data produced by different devices and applications. Deptii Chaudhari, Dept. of Computer Engineering, Hope Foundation’s International Institute of Information Technology, I²IT P-14,Rajiv Gandhi Infotech Park
MIDC Phase 1, Hinjawadi, Pune – 411057 Tel - +91 20 22933441/2/3 | www.isquareit.edu.in | info@isquareit.edu.in<br>
03
Social Media Data : Social media such as Facebook and Twitter hold information and the views posted by millions of people across the globe.
Stock Exchange Data : The stock exchange data holds information about the ‘buy’ and ‘sell’ decisions made on a share of different companies made by the customers.
Power Grid Data : The power grid data holds information consumed by a particular node with respect to a base station.
Search Engine Data : Search engines retrieve lots of data from different databases.
Thus Big Data includes huge volume, high velocity, and extensible variety of data. The data in it will be of three types.
Structured data : Relational data.
Semi Structured data : XML data.
Unstructured data : Word, PDF, Text, Media Logs. Deptii Chaudhari, Dept. of Computer Engineering, Hope Foundation’s International Institute of Information Technology, I²IT P-14,Rajiv Gandhi Infotech Park
MIDC Phase 1, Hinjawadi, Pune – 411057 Tel - +91 20 22933441/2/3 | www.isquareit.edu.in | info@isquareit.edu.in<br>