Nosql

587 palavras 3 páginas
NoSQL e Python
@fmasanori
http://www.slideshare.net/fmasanori

@fmasanori
• • • • • • • • Graduado IME-USP e Mestrado ITA ed e lint Cobra Tecnologia Software Express Credicard Mastercard PriceWaterhouseCoopers ITAU BankBoston Docente FATEC SJC (amo dar aulas) Interesses: Python, NoSQL, Google Technology, Facebook

Conhecendo os assistentes
• • • • • Python? NoSQL? pymongo? redis-py? pycassa?

Agenda
• LucidDB: my first NoSQL experiment • Flexible Schema • Horizontal Scalability • MongoDB (document) • Redis (key-value) • Cassandra (columnar) • Demo

LucidDB
• 3 years ago • Benchmark LucidDB x MySQL for Business Intelligence applications • LucidDB: columnar NoSQL for BI • Analytic applications:
– Read only – Massive aggregations – Denormalization

Queries
• Which movie genres generate the most revenue? (Q1) • How is our revenue evolving over time? (Q2) • At which time of day do costumers place the most orders? (Q3) • How effective are the promotions we launch? (Q4)

Average time (ms)
35000 30000

25000

20000

LucidDB
15000 MySQL

10000

5000

0 Q1 Q2 Q3 Q4

“Life begins at end of your comfort zone”
Neale Donald Walsch

Slide EuroPython 2012 Python, Flask e MongoDB depois de 20 anos com .NET

“It’s better to think of NoSQL as a movement rather than a technology”
Martin Fowler

NoSQL vale a pena

Job Trends (indeed.com)

Job Trends (indeed.com)

Job Trends (indeed.com)

O que as empresas esperam de um NoSQL?

Dynamic Schema

O que as empresas esperam de um NoSQL?

Flexible Schema

Relational DB

Relational DB

Martin Fowler

Impedance mismatch
• The difference between the relational model and the inmemory data structures (Fowler) • Limitations of relational DB: values only in tuples • We need a more complex structure than a set of tuples as a data unit

Aggregate Model Costumers Orders

Martin Fowler

Aggregate Model

Costumers

Martin Fowler

Scalability

If I had

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