openexpo madrid 2015 - advanced applications with mongodb
TRANSCRIPT
Advanced Applications w/ MongoDB
Things you perhaps were not aware that MongoDB can do for you!
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Agenda
Introduction MongoDB
General Aspects of Databases
Modern Age Applications
Available Infrastructure
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Introduction
Norberto Leite Technical Evangelist Madrid, Spain http://www.mongodb.com/norberto @nleite [email protected]
introduction
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MongoDB
GENERAL PURPOSE DOCUMENT DATABASE OPEN-SOURCE
MongoDB is Fully Featured
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THE LARGEST ECOSYSTEM 10,000,000+ MongoDB Downloads
250,000+ Online Education Registrants
35,000+ MongoDB User Group Members
35,000+ MongoDB Management Service (MMS) Users
900+ Technology and Services Partners
2,000+ Customers Across All Industries
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We are Local! http://www.meetup.com/Madrid-MongoDB-User-Group/events/223154279/
• 1047 members and growing • Next event 24/06
MongoDB, Inc.
400+ employees 2,000+ customers
Over $311 million in funding 13 offices around the world
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Enabling New Apps Better Customer Experience
Lower TCO Faster Time to Value
MongoDB Business Value
OUR BUSINESS IS
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CREATE APPLICATIONS NEVER BEFORE POSSIBLE
AGILE SCALABLE
Databases
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Expressive Query
Language
Strong Consistency
Secondary Indexes
Flexibility
Scalability
Performance
Relational
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Relational Database Challenges Data Types
Unstructured data
Semi-structured data
Polymorphic data
Agile Development
Iterative
Short development cycles
New workloads
Volume of Data
Petabytes of data
Trillions of records
Millions of queries/sec
New Architectures
Horizontal scaling
Commodity servers
Cloud computing
Does that mean they are not good anymore?
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No, of course not. You are fine!
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NoSQL Expressive
Query Language
Strong Consistency
Secondary Indexes
Flexibility
Scalability
Performance
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Heisenberg Uncertainty Principle
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Expressive Query
Language
Strong Consistency
Secondary Indexes
Flexibility
Scalability
Performance
Relational NoSQL
Relational + NoSQL
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Expressive Query
Language
Strong Consistency
Secondary Indexes
Flexibility
Scalability
Performance
Nexus Architecture
Relational + NoSQL
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The Database of the Post-Relational Era
Combines the foundation of relational databases with the innovations of NoSQL
Flexible Data Model Performance Scalability
NoSQL Strong Consistency Powerful Query Language Rich Indexes
RELATIONAL
Modern Age Software
Factors Driving Modern Applications Data • 90% data created in last 2 years
• 80% enterprise data is unstructured
• Unstructured data growing 2X rate
of structured data
Mobile • 2 Billion smartphones by 2015
• Mobile now >50% internet use
• 26 Billion devices on IoT by
2020
Social • 72% of internet use is social media
• 2 Billion active users monthly
• 93% of businesses use social media
Cloud • Compute costs declining 33% YOY
• Storage costs declining 38% YOY
• Network costs declining 27% YOY
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Modern Applications Common Aspects
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Data Consolidation
Data Warehouse
Real-‐/me or Batch
Engagement Applicaiton
Engagement Applicaiton
Opera&onal Data Hub Benefits • Real-‐/me • Complete details • Agile • Higher customer reten/on
• Increase wallet share • Proac/ve excep/on handling
Strategic
Repo
r/ng
Opera/onal Repor/ng
Cards
Loans
Deposits
Cards Data Source 1
Loans Data Source 2
Deposits
…
Data Source n
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Molecular Similarity Database
• Store Chemical Compounds – Fingerprints
• Want to find compounds which are “close” to a given compound
• Need to return quickly a small set of reasonable candidates
• Few researchers working concurrently
• Use Tanimoto association coefficient to compare two compounds based on their common fingerprints
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Big Data Genomics • Very large base of DNA sample
sequences – Origin, collection method,
sequence, date, … • Enumeration of mutations
relative to reference sequence – Positions, mutation type,
base • Need to retrieve efficiently all
sequences showing a particular mutation
• Similar to Content Management System pattern
• Add tag array in sequence document with mutation names
• Index tag array • Queries looking for affected
sequences are indexed and very fast
• Easy to setup, flexible representation and details for sequences, flexible evolution
• Can scale to massive volumes
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IoT: Large Industrial Vehicle Manufacturer Shard 1
Secondary
Shard 2 Secondary
Shard 3 Secondary
Shard 1 Primary
Shard 1 Secondary
Shard 1 Primary
Shard 1 Secondary
Shard 1 Primary
Shard 1 Secondary
Central Hub
Regional Hub
Regional Hub
Regional Hub
So… just for fancy applications!??!
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Not Necessarily!
Have you ever needed: - Change the Schema ? - Iterate Faster ? - Different Data Types ? - Geospatial Capabilities?
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MOBILE IS HARD MONGODB MAKES IT EASY
Document Model
Dynamic Schema
Horizontal Scalability
New Data
Streams of Fast Data
Scaling Problems
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CATALOGS ARE HARD MONGODB MAKES IT EASY
Do the Impossible
Faster
Query Language & Aggregation Framework
Stagnant
Heterogeneous Data
Feature Tradeoffs
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CATALOGS ARE HARD MONGODB MAKES IT EASY
Tailor Made To Innovate
Adjust To Your Business Needs
Open Source
Hard to Innovate
Can't Customize at Speed
Expensive
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AND MANY OTHERS
Available Infrastructure
Infrastructure “ … the basic equipment and structures (such as roads and bridges)
that are needed for a country, region, or organization to function properly …”
http://www.merriam-webster.com/dictionary/infrastructure
Roman Roads
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Revolution on Infrastructure
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PaaS Services
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Services and API's
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Modern Infrastructure
Virtual
Redundant
Flexible Diverse
Scalable
Before I leave …
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What we discovered today • Today we have a lot of choices
– For building applications – For storing data – For deployment and infrastructure
• Our Apps are ever more – Dynamic – Fast paced – Demanding
• Change is constant and should be embraced • MongoDB is here to help you
– Scale – Iterate – Get more out of your ideas!
Come and Learn More
https://www.mongodb.com/collateral/mongodb-30-whats-new
Engineering
Sales & Account Management Finance & People Operations
Pre-Sales Engineering Marketing
Join the Team
View all jobs and apply: http://grnh.se/pj10su
Obrigado! Norberto Leite Technical Evangelist [email protected] @nleite
