NoSQL

Objectives :

• Understand what does NoSQL mean

• Understand the different kind of databases hidden behind this word

Connection - 10'

• In pair list every Pros and Cons you have encountered with relational database

• List every relational database you have already used

• Group the answers

Concepts - 20'

Relational databases

• Persist data

• Concurrency control

• Manage transactions in an ACID way

ACID

• Atomicity

  • "all or nothing"

  • One part fails => the entire transaction fails

• Consistency

  • Bring the database from one valid state to another

  • All defined rules, including constraints, cascades, triggers, and any combination are respected

• Isolation

  • Concurrent execution

    • Would be obtained if transactions were executed sequentially

• Durability

  • Transaction committed : it will remain

Cons of relational databases

• Impedance mismatch

  • Relational data structures vs In-memory data structures

• Performance

• Distribution

• Cost

NoSQL

Different kind of NoSQL Databases

Why use NoSQL ?

• To improve programmer productivity : better matches an application needs

• To improve data access performance

  • Through some combination of handling larger data volumes, reducing latency

• Large volumes of rapidly changing structured, semi-structured, and unstructured data

• Geographically distributed scale-out architecture

  • Instead of expensive, monolithic architecture

Concrete Practice - 20'

Let's play with a GraphDB call Neo4j for the next minutes :

• Connect to the platform
• Play with the Cypher queries

• Play with the Graph Visualization

Conclusion - 10'

NoSQL does not mean “Death of SQL”

We can now create polyglot persistence :

• Uses different data storage technologies to handle varying data storage needs

• Can be applied : Anywhere in an organization/in a single application

Use the tool that fits the best your needs.

Remember the past

Think about the past few years, in which development you have made this kind of database would have been useful ?

• Why ?

Resources

Key Value Stores

• Aerospike

• Apache Cassandra

• Berkeley DB

• Couchbase Server

• Redis

• Riak

Document DB

• CouchDB

• Elasticsearch

• MongoDB

Graph DB

• Neo4j

• OrientDB

• FlockDB

Wide Columns Family Stores

• Cassandra

• HBase