NoSQL Database and PythonRoshan Bhandari

Co-Founder, Phunka Technologies

NoSQL Humor3 RDBAs walk into a NoSQL bar. They can’t open the door … Do you know why?

3 RDBAs walk into a NoSQL bar. They manage to enter anyhow but they leave … Do you know why?

SQL and NoSQL

Structured Query Language NoSQL or Not Only SQL

work on predefined schema schema-free

Relational non-relational

joins no joins

vertical scaling and distribution very tedious

horizontally scalable and distributed

Transactions and ACID property eventually consistent / BASE (sometimes ACID like in Graph)

● Scalable ● High-Performance● Open-source● Document-oriented

database ● developed by 10Gen.

Document Oriented Database

Understanding the Document Modelvar p = {

‘_id’: ‘3432’,

‘title’: ‘Python Develeoper Meetup 4’,

‘presentations’: [

{

‘name’:’NoSQL Database and Python’, ‘presenter’:Roshan Bhandari

},

{

‘name’:’Natural Language Processing’,

‘presenter’:’Chandan Gupta’

}

]

}

> db.posts.save(p);

> db.posts.find({‘title’:’ Python Develeoper Meetup 4’’})

Cool features of MongoDb● Index on each

fields in each documents and collections,

● Geo-spatial Indexes for Geo-spatial queries. $near, $within_distance, Bound queries (circle, box),

● Full Text Indexing and Search

Graph DB

Python Connectors for MongoDb

PyMongo- PyMongo is a Python distribution containing tools for working with MongoDB, and is the recommended way to work with MongoDB from Python.

- ORM-like layer on top of PyMongo.

Python Connectors for Neo4j

neo4djangopy2neo

Python Connectors for DynamodbBoto

An integrated interface to current and future infrastructural services offered by Amazon Web Services.

DynamodbMapper DynamoDB is a minimalistic NoSQL engine provided by Amazon as a part of their AWS product.

Our NoSQL projects at Phunka

Food Search Engine ● Aggregating Food related Data from

○ Twitter○ Google Places○ Facebook ○ FSA UK○ and many other api

● Using MongoDb to store and index data● Make a real time search engine for food

MatchMaking and Dating for Food Traders (still in research phase)

● Trying to use Neo4j to making recommendation engine

● Aggregating millions of tweets every day.

● Saving them in MongoDb since tweets are in json and it becomes easy to dump them into db.

● Denormalization helps to find related hashtags in real time.

● Utilizing FlipKarma dump data from mysql to use Neo4j to make project recommendations based on

○ Search data○ view data○ uploaded project

categories○ friend’s projects○ likes and comments

Using Mongodb to:-

● for agile development with easy database migration

● denormalization for better analytics

● storing 100s of user’s daily activity logs for analytics

We are hiring:-

-If you are python and nosql enthusiast or expert- if you have experience in mapping data

Then You are welcomed to our team- to do cool stuffs with us- learn and enjoy being a startup

Thank you for listening me carefully :-)

Questions?