NoSQL DATABASES Cristina Gómez Alonso

#womentechmakers

Digital World

Where everything will be connected...

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Web 2.0: BigData & Data

in real-time

Importance of BigData Gartner Agost 2013

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BigData is hard to move…

… because it is BIG !

And we have to achieve …

SPEED!

BigData Tools: NoSQL Movement

New tools for new problems  

NoSQL DB Properties

Scalability

Adaptability Data Persistence

Cost reductions

Simplified problems

NoSQL “Fantastic” Types  

Graph

Document Wide-Column

Key-Value Redis,  Memcached  

MongoDB,  CouchDB  

Hbase,    Cassandra  

Neo4j  

Database Trends

by 10gen

“MongoDB   is   a   tool   of   the   devil  coming   from   the   underworld   to  torment  me  for  my  sins.  Their  arms  are   map/reduce   and   mongodump.  It   poke   me   with   them   day   and  night,  and  I  still  have  nightmares  of  misunderstanding…  

NO!!! MongoDB is not that!

Features s

•  Structure:  db  à  col  à  doc  à  key/value    •  Relationships:  Array&Documents  •  Flexible  Data  Model  •  Desployment:  replicated  servers    •  Examples:  foursquare,  craigslist    •  Free  courses  of  6  weeks  (10h/week)  university.mongodb.com  • Online  tool:  try.mongodb.org  

JSON to BJSON

Operations

Connection: •  getDB  •  connect  

Readings: •  find  •  findone    Operations on collections: •  count  •  createIndex  •  drop  •  sort  

Access Control: •  addUser  •  changeUserPassword  •  getLastError  •  help  

Replication: •  conf  •  help  •  add  •  remove  

Sharding: •  addShard  •  enableSharding  •  status  

Writings: •  insert  •  update  •  save  •  findAndModify  •  remove  

More examples update ensureIndex count remove  

OPERATIONAL ONLINE DATA REAL-TIME, LOW LATENCY, HIGH AVAILABILITY

• M2M  Apps  • Mobile/Social  Apps  •  Product  Catalog  •  360  degree-­‐view  of  a  user  • Comment  Storage  • Voting  Systems  

5th in the Ranking (db-engines.com)

Job Trends (451research.com i indeed.com)

Questions?

1.  In  order  to  get  their  attention,  you  have  to  turn  them  on.  

2.  They   have   a   lot   of   data,   but   are   still  clueless.    

3.  They   are   supposed   to   help   you   solve  problems,   but   half   the   time   they   are   the  problem.    

4.  As  soon  as  you  commit  to  one,  you  realize  that,   if   you   had  waited   a   little   longer   you  could  have  had  a  better  model.  

Similarities

1.  No   one   but   the   creator   understands   their  internal  logic.  

2.  The   nat ive   language   they   use   to  communicate   with   other   computers   is  incomprehensible  to  everyone  else.  

3.  Even   your   smallest  mistakes   are   stored   in  long-­‐term  memory  for  later  retrieval.  

4.  As   soon   as   you   make   a   commitment   to  one,   you   find   yourself   spending   half   your  paycheck  on  accessories  for  it.  

Similarities

THANK YOU for your attention

Cristina Gómez Alonso

@crisgomal