MongoDB Session 2

Aug 17, 2015Download as PPTX, PDF1 like567 views

This document discusses different types of NoSQL databases, including key-value stores, document stores, column-based stores, and graph databases. It provides examples of databases for each type and describes their common features. The document focuses on MongoDB, introducing it as a popular open source, distributed, schema-free document database that is easy to interface with different programming languages.

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MongoDB (Session-2)

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Types of NoSQL Databases

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Types of NoSQL databases
• Distributed Key-Value Systems
• Key-Value pair storage.
• Amazon’s Dynamo
• Document-based Systems
• Data organized in documents.
• CouchDB
• MongoDB
• Column-based Systems
• Columnar representation.
• Google’s BigTable
• Facebook’s Cassandra
• Graph-based Systems
• Use a graph structure.
• Neo4j

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Key-Value Pair Stores
Simplest NoSQL Data
Stores
Value is a Blob
Use Primary-Key access
<key = customerID>
<value = object>
Orders
Customer
BillingAddress
Order
Shipping Address
OrderPayment

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Features
All key-value databases are different
Chose one based on your needs
Insert( key, Value), Fetch(Key), Update(Key), Delete(Key).

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Document Store
Records Stored in distinct documents.
Embedded documents provide relations.

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Features
JSON Documents.
No fixed data format.
Good for Big Data size collections.
Dynamic Updates

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Column Based Stores
• Data tables are stored as sections of columns of data, rather
than as rows of data.
Column Family
Row
Row KeyX Column1 Column2 Column3

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Features
Container of Rows.
This type of data store is good for
• Distributed data storage, especially versioned data because of
the time-stamps.
• Large-scale, batch-oriented data processing: sorting, parsing,
conversion, algorithmic crunching, etc.

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Graph Database Systems
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Features
Nodes and Edges.
Relationship between data.
Index-free adjacency.
Graph databases are useful when you are more
interested in relationships between data than in the data
itself
• In representing and traversing social networks
• generating recommendations.

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Just to Sum up
NOSQL is a broad term used to group databases that store and
retrieve data without using the traditional tabular relations of
RDBMS.
NOSQL is popularly known as Not Only SQL, because of the
fact that it is really more that mere SQLs.
It solves the problems of scalability and availability.
It facilitates the implementation of distributed database services.
Relax a subset of ACID to achieve scale
In context to the CAP’s theorem, the NOSQL databases
compromise on consistency and achieve high availability and
partition tolerance.
Simple programming model and administration
Variants include Key-Value store, Document Store, Column
based stores and Graph based stores.
C) People Strategists - Duplication is prohibited - www.peoplestrategists.com

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Introduction to MongoDB

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Actual Popularity

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Production Deployments

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Ranking

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Skill Set Ratio

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Momentum and Milestones
• The leading NoSQL database for start ups and
enterprises, MongoDB has amassed more than 900
customers, including 27 Fortune 100 companies.
• More than 6.5 million downloads of MongoDB
Fastest-growing community in Big Data, with more than
130 user groups and 28,000 user group members around
the world

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MongoDB What??

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Humongous
Open Source, Distributed, Schema free, Document Database.
Cross Platform.
Easy language Interface.

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Mapping to Relational Database
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Tables
Embedded
Documents
Joins
Rows and
Columns
DocumentsCollection

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3. Slide 3 of 20© People Strategists www.peoplestrategists.com Types of NoSQL databases • Distributed Key-Value Systems • Key-Value pair storage. • Amazon’s Dynamo • Document-based Systems • Data organized in documents. • CouchDB • MongoDB • Column-based Systems • Columnar representation. • Google’s BigTable • Facebook’s Cassandra • Graph-based Systems • Use a graph structure. • Neo4j

4. Slide 4 of 20© People Strategists www.peoplestrategists.com Key-Value Pair Stores Simplest NoSQL Data Stores Value is a Blob Use Primary-Key access <key = customerID> <value = object> Orders Customer BillingAddress Order Shipping Address OrderPayment

5. Slide 5 of 20© People Strategists www.peoplestrategists.com Features All key-value databases are different Chose one based on your needs Insert( key, Value), Fetch(Key), Update(Key), Delete(Key).

6. Slide 6 of 20© People Strategists www.peoplestrategists.com Document Store Records Stored in distinct documents. Embedded documents provide relations.

7. Slide 7 of 20© People Strategists www.peoplestrategists.com Features JSON Documents. No fixed data format. Good for Big Data size collections. Dynamic Updates

8. Slide 8 of 20© People Strategists www.peoplestrategists.com Column Based Stores • Data tables are stored as sections of columns of data, rather than as rows of data. Column Family Row Row KeyX Column1 Column2 Column3

9. Slide 9 of 20© People Strategists www.peoplestrategists.com Features Container of Rows. This type of data store is good for • Distributed data storage, especially versioned data because of the time-stamps. • Large-scale, batch-oriented data processing: sorting, parsing, conversion, algorithmic crunching, etc.

10. Slide 10 of 20© People Strategists www.peoplestrategists.com Graph Database Systems C) People Strategists - Duplication is prohibited - www.peoplestrategists.com

11. Slide 11 of 20© People Strategists www.peoplestrategists.com Features Nodes and Edges. Relationship between data. Index-free adjacency. Graph databases are useful when you are more interested in relationships between data than in the data itself • In representing and traversing social networks • generating recommendations.

12. Slide 12 of 20© People Strategists www.peoplestrategists.com Just to Sum up NOSQL is a broad term used to group databases that store and retrieve data without using the traditional tabular relations of RDBMS. NOSQL is popularly known as Not Only SQL, because of the fact that it is really more that mere SQLs. It solves the problems of scalability and availability. It facilitates the implementation of distributed database services. Relax a subset of ACID to achieve scale In context to the CAP’s theorem, the NOSQL databases compromise on consistency and achieve high availability and partition tolerance. Simple programming model and administration Variants include Key-Value store, Document Store, Column based stores and Graph based stores. C) People Strategists - Duplication is prohibited - www.peoplestrategists.com

20. Slide 20 of 20© People Strategists www.peoplestrategists.com Momentum and Milestones • The leading NoSQL database for start ups and enterprises, MongoDB has amassed more than 900 customers, including 27 Fortune 100 companies. • More than 6.5 million downloads of MongoDB Fastest-growing community in Big Data, with more than 130 user groups and 28,000 user group members around the world

22. Slide 22 of 20© People Strategists www.peoplestrategists.com Humongous Open Source, Distributed, Schema free, Document Database. Cross Platform. Easy language Interface.

23. Slide 23 of 20© People Strategists www.peoplestrategists.com Mapping to Relational Database C) People Strategists - Duplication is prohibited - www.peoplestrategists.com Tables Embedded Documents Joins Rows and Columns DocumentsCollection

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