What is nosql? Where nosql can be used? How to choose one?

1. NosqL

2.  SQL has Ruledfor two decades
 Store persistent data
 Application Integration
 Concurrency Control
 Mostly Standard
 Reporting

3. Whatis NoSql?

4.  don’t use the relational data model,
 tend to be designed to run on a cluster
 don’t have a fixed schema,
 allow tostore any data in any record
 seeks to solve the scalabilityandbig data performance issues

5.  5 Considerations When EvaluatingNoSQL
 Data Model
 Querymodel
 Consistencymodel
 API
 Commercialsupport

6.  Types of NoSQL databases
 Document: CouchDB, Couchbase, MongoDB
 Key-value:Riak,MemcacheDB, Redis
 Graph: Neo4J
 Column: Cassandra, HBase

7. Document Based
{ _id:”5466b7c22”,
company:{
_id:”5466b7c22”, company:
“google”, symbol :
“GOOG”, stock_price:
“858”, stock_volume:10M
}}

11.  Query Model
 ThebiggestdifferencebetweenNoSQLsystemsliesintheability
toquerydata efficiently.
 Document databases provide the richest query
 Key-value stores providea singlemeansofaccessingdata:by
key.

12.  Consistency Model
 CONSISTENT SYSTEMS
 EVENTUALLY CONSISTENT SYSTEMS

13.  Reasons to use NoSQL databases
 Scale (horizontal)
 Simpler datamodel (less joins)
 Redundancy/Reliability
 Schema less (no modelling or prototyping)
 Rapid Development/coder friendly
 Flexibility
 semi-structured/ unstructured/Structured
 Cheaperthanrelational/ commodity
 Creatinga cachingLayer
 Environment data/logs
 Graphs/relationships
 Distributedstorage
 Realtime analysis

14.  Challenges against NoSQL
 ACID
 Maturity
 Analytics/ BI / Reporting
 Ecosystem/tools/addons
 search
 Security
 Data loss
 duplicatedata(Normalisation)
 Administration
 Expertiseavailability

15.  Relationalis not dead
 Thisleads us to a world of Polyglot Persistence

17.  How Twitter UsesNoSQL
 is heavily dependent on MySQL
 users generate 12terrabytes of data a day - about four petabytes peryear
 Twitter uses Scribe to write logs to Hadoop
 Hbase is built on top of Hadoop
 using Cassandra for atomic counting.

18.  Does Stack Overflow use caching?
 Redis for site cache and global cache
 around 1,300,000 keys in our Redis cache
 a few hundred read/writes a second to Redis
 CPU usage on their dedicated Redis machine is0 – 1 percent
 Memory usage is around 6G

19.  Instagram loves Redis for caching complex objects
 Pinterest uses Redis to store the graph of followers and
caching, HBase
 LinkedIn uses Hadoop, Voldemort and Espresso.

20.  Can we use NoSql in our project?