• Like
An introduction to Nosql
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

An introduction to Nosql

  • 4,290 views
Published

A beginners introduction to nosql in very basic terms and covering introduction to MongoDB

A beginners introduction to nosql in very basic terms and covering introduction to MongoDB

Published in Internet , Technology , Education
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
4,290
On SlideShare
0
From Embeds
0
Number of Embeds
6

Actions

Shares
Downloads
3
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. A N I N T R O D U C T I O N # N O S Q L NoSQL
  • 2. What is NoSQL Next Generation database Characteristics  Non-relational  Distributed  Open-source  Horizontally scalable  No Predefined Schema
  • 3. An example { "_id" : { "$oid" : "536ce8d1c25cf6e89fa7deeb"} , "name" : "USA" , "type" : "country" , "count" : "1" , "states" : { "1" : "MA" , "2" : "TX" , "3" : "CA"} }
  • 4. Types of NoSql  Document databases Similar to Key/Value but with a major difference that value is a document. Inspired by Lotus Notes. Example Couch DB, Mongo DB  Graph stores are used to store information about networks, such as social connections. Graph stores include Neo4J and HyperGraphDB.  Key-value stores are the simplest NoSQL databases. Every single item in the database is stored as an attribute name (or "key"), together with its value. Examples are Riak and Voldemort.  Wide-column stores such as Cassandra and HBase are optimized for queries over large datasets, and store columns of data together, instead of rows. Example Hadoop/ Hbase, Cassnadra, Level DB (from Google), BigTable
  • 5. Why #nosql  Dynamic Schema  Large columns of structured, semi structured data and unstructured data  Efficient scale out architecture (Sharding)  Helps in Agile development
  • 6. SQL Databases No SQL Database Example Oracle , mysql Mondo DB, CouchDB, Neo4J Storage Model Rows and tables Key-value. Data stored as single document in JSON, XML Schemas Static Dynamic Scaling Vertical & Horizontal Horizontal Transactions Yes Certain levels Data Manipulation Select, Insert , Update Through Object Oriented API’s Differences
  • 7. MongoDB  It is type of Document database  Written in C++  Development started in 2007  Commercial supported and developed by 10Gen  Supports multiple types of indexing  In built Sharding
  • 8. What is Sharding Sharding is the process of storing data records across multiple machines a.k.a Horizontal Scaling
  • 9. References  http://nosql-database.org/  http://www.mongodb.com/nosql-explained  http://www.slideshare.net/dstainer/introduction- to-nosql-databases