A quick Note about (Big) Data : Just to be sure to understand

Data Science for Enthusiastic People

Most of people who are from relational database (the majority of statisticians that use to work with SAS) have some issues when we talk about New paradigm of storage and analytic on (big)Data.

Here are some quick definitions that can be helpful to understand Big Data world

  1. DATABASES

Two types of databases :

  • Relational databases

based on ACID principle

Atomicity: all operations in a transaction will complete or none will

Consistency: database will be in a consistent state during transaction

Isolation: the transaction will operate as if it is the only operation being performed on the database

Durability: upon completion of the transaction operation will not be reversed

  • NOSql databasesg

based on CAP principle

Consistency: no contradiction in the data

Availability: every operation must terminate in an intended response,

Partition tolerance: fault tolerance

Shortcomings of RDBs

  • Schema

Schema may be gigantic making it not understandable

CONS=>Huge data are hard to…

View original post 649 more words

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s