Big Data Tutorial | 12. Introduction to Apache Cassandra | Learn Big Data From Scratch

Big Data Tutorial | 12. Introduction to Apache Cassandra | Learn Big Data From Scratch
Hello Everyone,
In this entire tutorial , we will focus on Big Data Ecosystem and Big Data Terminology .
In this video we will discuss about Apache Cassandra.

Introduction to Apache Cassandra:-
The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data.Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.

What is Big Data ?
extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations,
especially relating to human behaviour and interactions.
"Big data” is a frequently heard buzzword in 2012. This year, IBM teamed with the University of Oxford to help organizations
look beyond the big data hype and gain a deeper view into how their peers are defining and tackling big data today to improve business performance.
Currently we are living in the era of huge data generation in which everyday enormous data is generating every seconds. According to survey Data
generate in 2010-2015 is triple as data generated into past of 10 years. So right now We have to think about data handleing and data analyis concepts for our
valuable data .

Introduction to NoSQL:-
NoSQL, known as Not only SQL database, provides a mechanism for storage and retrieval of data and is the next generation database .
It has a distributed architecture with MongoDB and is open source. Most of the NoSQL are open source and it has a capability of
horizontal scalability which means that commodity kind of machines could be added.

Benefits of NoSQL:-
NoSQL claims various benefits associated with its usage. From managing data to scalability, it use has increased drastically.
Huge amount of data can be managed and then streamed. Different kinds of data like structured and semi structured data can be analyzed
and analytical activities can be performed.

NoSQL Database Categories:-
Document Database– It pairs each key with a complex data structure known as document. It can contain many different key value pairs, or key array pairs or even nested documents
Key value stores– They are the simplest NoSQL databases. Every single item in the database is stored as an attribute name or key together with its value.
Graph store– They are used to store information about networks, such as social connections.Graph stores include Neo4J and HyperGraphDB.
Wide column stores- Wide column stores such as Cassandra and HBase are optimized for queries over large datasets, and store columns of data together, instead of rows.


Please go to this link for Big Data tutorial :- https://www.youtube.com/playlist?list=PLrwkeifIVAoQ-y3gf-jlWM69cxGKkYeIj
Subscribe to our YouTube channel at https://www.youtube.com/channel/UC6U2o83YHhhtM9W7IzWAPRA
Also please like my facebook page :- https://www.facebook.com/learnetix/?ref=bookmarks

Please comment down if you getting any issue regarding technical contain and also please share with others.

-~-~~-~~~-~~-~-
Please watch: "Apache Pig Tutorial | 1. Introduction to Apache Pig | Hadoop Pig Tutorial For Beginners"
https://www.youtube.com/watch?v=RXAuNhho5do
-~-~~-~~~-~~-~-