The document provides an overview of NoSQL databases, highlighting their lack of predefined schema and their ability to manage various types of data. It contrasts SQL databases with NoSQL databases, mentioning examples of each type, and introduces the concept of big data, emphasizing the need for proper data management and analysis. Additionally, it touches on Google's Bigtable as a significant NoSQL solution for handling large-scale data.

1. 09/11/2017
Akash A. Borse
(M. Tech - ACDS)

3. What is NoSQL?
A Query language to Store, Process and Manage increasing large amount of
data.
There is no Pre-Defined Schema/Structure like SQL
Allows various types of data to store.

4. SQL Vs NoSQL:

5. SQL NoSQL
Databases are categorized as
Relational DBMS
Databases are categorized as Non-
Relational / Distributed DBMS
Predefined scema Dynamic schema
Table-based databases Collection of Key-Value pairs,
Documents, Graph database, Wide-
Column Store
Databases:
MySQL, SQLite, Oracle, MS-SQL...
Databases:
MongoDB, BigTable, Cassandra,
HBase, Neo4j, CouchDB...

6. NoSQL Databases:

7. NoSQL Users:

9. What is Big Data?
An ability or technique to collect large amount of data generating from various
sources and to analyze it for future utilization.
Need: Huge amount of data is generated everyday, Data is useful for Analysis,
Data must be managed properly.

11. How it is Done?

14. Google's BigTable:
 Google's NoSQL Big Data Database service
 Compressed, High performance Data storage system
 Can handle large scale of data (Semi-Structured)

15. Types of Data:
 URLs
 User Data
 Geographical Locationa (Roads, Satellite Images)

17. Thank You…