This document contains confidential information about Target Soft Systems and should not be shared outside of proposal evaluators. It discusses big data, which refers to extremely large data sets that are difficult to analyze using traditional tools. Big data is defined by its volume, velocity, and variety. The document lists some applications of big data analytics in fields like healthcare, finance, and security. It also discusses technologies commonly used for big data analytics, including NoSQL databases and Hadoop.

1. BIG DATA
IN
IOT

2. CONFIDENTIAL INFORMATION
This document is confidential and proprietary information
of Target Soft Systems. Confidential Information includes,
but is not limited to, the following:
Corporate, Employee and Infrastructure Information about
Target Soft Systems.
Target Soft Systems implementation , Training
methodology, cost, project management and quality
processes.
Any disclosure of Confidential Information to, or use of it
by a third party (i.e., a party other than authorised , will be
damaging to Target Soft Systems). Ownership of all
Confidential Information, no matter in what media it
resides, remains with Target Soft Systems( TSS ).
Confidential Information in this document shall not be
disclosed outside the buyer’s proposal evaluators and shall
not be duplicated, used, or disclosed – in whole or in part –
for any purpose other than to evaluate this proposal
without specific written permission of an authorized
representative of Target Soft Systems.

3. BIG DATA is the term for the collection of data sets
so large and complex that it becomes difficult to
process using on-hand data management tool or
traditional data processing applications. The
challenges include capture ,storage,search,
sharing,transfer,analysis and visualization
Systems/Enterprises generate huge amount of data
from terabyte to even perabyte of information

4. Big data in general is defined as high
❖Volume
❖Velocity
❖Variety
Information assets that demand cost
effective,innovative forms of information
processing for enhanced insights and decision
making

5. Application of Big data
●Smarter Health care
●Trading Analytics
●Finance
●Telecom
●Log Analysis
●Homeland security
●Traffic control
●Search Quality

7. Big data Analytics Technologies
noSql:non-relational or at least non-sql
database solutions such as H-Base(also a part
of hadoop
ecosystem),Cassandra,MangoDB,Riak,couchD
B and many others
Hadoop:It is an ecosystem of software
packages,including MapReduce,HDFS,and a
whole host of other software packages

17. THANK YOU