This is about NoSql which is used to store and access large scale data

1. NoSQL
By
Swapnil Tiwhane

2. Contents
 Introduction to SQL
 Relation in RDBMS
 ACID
 Strength and weakness of SQL
 NoSQL
 SQL vs NoSQL – structural difference
 SQL vs NoSQL – functional difference
 Nosql in Healthcare

3. Introduction to SQL
 Structured query language designed for
managing data held in a RDBMS
 SQL was one of the first commercial
languages for Edgar F. Codd's
relational model .

4. Relation in RDBMS
 The term relational does not just refer to
relationships between tables: firstly, it refers
to the table itself or rather, the relationship
between columns within a table; and
secondly, it refers to links between tables.

5. Primary key and Foreign key
 In the relational model, each table schema
must identify a column or group of columns,
called the primary key, to uniquely identify
each row
 A foreign key is a field in a relational table
that matches the primary key column of
another table. The foreign key can be used to
cross-reference tables.

6. ACID

7. Strength & weaknesses
 Strength
1. Widely accepted
2. Database operation with insert, update, delete
3. Transaction support (OLTP)
 Weaknesses
1. Complexity of relation between different tables
2. In advance need to create schema
3. Large storage -- slow down process

8. NoSQL
 NoSQL is a whole new way of thinking about a
database. NoSQL is not a relational database. The
reality is that a relational database model may not be
the best solution for all situations. The easiest way to
think of NoSQL, is that of a database which does not
adhering to the traditional relational database
management system (RDMS) structure. Sometimes
you will also see it revered to as 'not only SQL'.

9. SQL vs NoSQL – structural difference
Sql Mongodb
table collection
row document
Column field

10. SQL vs NoSQL

11. Nested document in NoSQL
 { _id: "joe",
name: "Joe Bookreader“
}
 { patron_id: "joe",
street: "123 Fake Street",
city: "Faketon",
state: "MA", zip: 12345
}

12. Nested document in NoSQL
 { _id: "joe",
name: "Joe Bookreader",
address: {
street: "123 Fake Street",
city: "Faketon",
state: "MA", zip: 12345
}
}

13. ClinicalDocument in MongoDB
 {"ClinicalDocument": {
 "recordTarget": {
 "patientRole": {
 "patient": {
 "name": {
 "given": "Henry",
 "family": "Levin",
 "suffix": "the 7th” },
 "birthTime": {"value": 19320924} },
 "providerOrganization": {"name": "Good Health Clinic"} }
 },
 "author": {
 "time": 20000407130000+0500,
 "assignedAuthor": {
 "assignedPerson": {"name": {
 "given": "Robert",
 "family": "Dolin",
 "prefix": "Dr.” } },
 "representedOrganization": { "name": "Good Health Clinic” } }
 }
 }

14. Mongodb in Healthcare
 360-Degree Patient View
1. Basic patient information and medical histories to lab results
and MRI images
 Lab Data Management and Analytics
1. With MongoDB’s flexible data model, providers of lab testing,
genomics and clinical pathology can ingest, store and analyze
a variety of data types from numerous sources all in a single
data store.

15. Companies using mngodb

16. Advantages of MongoDB over RDBMS
 Schema less
 No complex joins
 Ease of scale-out: MongoDB is easy to scale

17. Why should use MongoDB
 Document Oriented Storage
 Replication & High Availability
 Auto-Sharding
 Rich Queries
 Integrated Caching

18. Where should use MongoDB?
 Big Data
 Content Management and Delivery
 Mobile and Social Infrastructure
 Data Hub
 e-commerce
 Archiving, and Logging

19. Thanks..
Any ?