NoSQL Database ppt for Beginners by Real Time Expert

Introduction to NOSQL

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Market Needs

According to market survey it required :

Database capable to handle Explosion of social media sites (Facebook, Twitter)

with large data needs

Explosion of storage needs in large web sites such as Google, Yahoo

Required database who can work on clusters

Database who is capable to tune with 21st cent

Ury websites( e. g. schema less, with out large relations, mostly for open source ).

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Market Forecast



Market Top 10 Ranking



Seeing the future

In future database popularity



Why No SQL ?

Its easy and ready to manage with clusters .

Suitable for upcoming data explosions .

Not required to keep track with data structure.

provide easy and flexible system .



Smooth process of No SQL



Upcoming Job trends



Salary hike



What is No SQL

No SQL means Not Only SQL, implying that

when designing a software solution or product, there

are more than one storage mechanism that could be

used based on the needs.

The most important result of the rise of NoSQL

is Polyglot Persistence.



Database Scaling RDBMS are "scaled up" by adding hardware

processing power

No SQL is "scaled out" by spreading the load

Partitioning /replication App

Load balancer

User

A-K

User

L-O

User

P-S

User

A - Z



Relational DB ScalingAt certain point relational database won't scale



No SQL DB ScalingAt certain point relational database won't scale



Characteristics

NoSQL databases share some characteristics

with respect to scaling and performance:

o Auto sharding

o Distributed query support

o Integrated caching



Where NoSQL Is Used?

Google (BigTable, LevelDB)

LinkedIn (Voldemort)

Facebook (Cassandra)

Twitter (Hadoop/Hbase, FlockDB, Cassandra)

Netflix (SimpleDB, Hadoop/HBase, Cassandra)

CERN (CouchDB



History of NoSQL

oMultiValue databases at TRW in 1965.o DBM is released by AT&T in 1979.o Lotus Domino released in 1989.o Carlo Strozzi used the term NoSQL in 1998 to name his lightweight,oopen-source relational database that did not expose the standard SQL interface.oGraph database Neo4j is started in 2000.oGoogle BigTable is started in 2004. Paper published in 2006.o CouchDB is started in 2005.o The research paper on Amazon Dynamo is released in 2007.o The document database MongoDB is started in 2007 as a part of a openosource cloud computing stack and first standalone release in 2009.oFacebooks open sources the Cassandra project in 2008.oProject Voldemort started in 2008.oThe term NoSQL was reintroduced in early 2009.



cap theorem 1/2

The need for scaling up/down/out is growing and so are the challenges of

dealing with huge distributed systems. So, when designing such applications,

it’s important to keep three core requirements in mind as described by

Brewer’s CAP theorem:

1. Consistency

2. Availability

3. Partition-Tolerance

A distributed system can satisfy any two of these

Guarantees at the same time, but not all three



Cap theorem 2/2

In other words, CAP can be expressed as "If the network is broken, your

database won’twork"

In RDBMS we do not have P (network partitions)

○ Consistency and Availability are achieved

In No SQL we want to have P

Need to select either C or A

Drop A -> Accept waiting until data is consistent

Drop C -> Accept getting inconsistent data

sometimes



No sql system and cap



ACID vs BASE

Scalability and better performance of No SQL is

achieved by sacrificing ACID compatibility.

Atomic, Consistent, Isolated, Durable

No SQL is having BASE compatibility instead.

Basically Available, Soft state,

Eventual consistency



No SQL dose not use SQL

Sql was designed to be a query language for relational

database .

Relational databases are usually table based . Mush like a

spread- sheet .

records are stored in row and column management .



No SQL are more flexible

Many of No SQL databases allow the definition of fields

on record creation .

Nested values are common in No SQL database.

Fields are not standardizes between records .



Types of No SQL databases

NoSQLDataTypes

Key Value store

Example

Riak, Amazon S3 (Dynamo)

Document Based store

Example

CouchDB

Column based store

Example HBase,

Cassandra

Graph based

Example -Neo4J



Descriptions about Document Based

Document based

Documents are usually stored in a structured format.

Documents are usually organized into collections or databases.

Individual document can have unique structure .

Each document has a specific key .

Examples – json , Bson , XML



Key Value

You have a key and you can query by , and value at that by .

Not possible to query by other then a key .

Sometimes used alongside relational databases for caching .



Column Based

Each row in a tabular database can have a different set of

columns.

Tabular databases are designed for large numbers of columns

in each row, and rows are typically versioned .



Graph Based

These databases that uses edges and nodes to represent and

store data.

These nodes are organised by some relationships with one

another, which is represented by edges between the nodes.

Both the nodes and the relationships have some defined

properties.


Questions?



THANK YOUfor attending Demo of

NOSQL


Email: [email protected]

Call us: +91 8099776681


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NoSQL Database ppt for Beginners by Real Time Expert

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