mongodb days silicon valley: winning the dreamforce hackathon with mongodb
TRANSCRIPT
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MongoDB Days Silicon Valley
Winning the Dreamforce Hackathon with MongoDB
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db.mongoDaysSV.insert( {
“init”: “Welcome Message”, “author”: “Greg Deeds”,
“twitter”: “@TEGBIZ”, setInterval: 162000
} );
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RAPID PROTOTYPING with MongoDB
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You want to change the game?
You have 24 hours...
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Two True Tales Of MongoDB
MongoDB & Force // GR • API driven rapid prototyping • HEROKU CONTAINERIZATION • MASS IMPORT DATA SCIENCE
DRONEY EXPRESS // MongoDB your range • Geospatial & Autonomous
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MongoDB or RDBMS
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Winning with MongoDB
• Developing Rapid Prototypes
• Winning Hackathons with MongoDB
• Drones / MongoDB {Range Management}
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MongoDB or
stay in the RDBMS Matrix
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Give Up The Old And Win
• Traditional DevOps Practitioner moved to Micro-services
{Microsoft .NET & SQL Server}
{Oracle APEX-PL/SQL & Oracle Server} {Any Linux... MySQL/POSTGRES}
• Teamwork to overworked evolutions
• My SQL Dreams never materialized - {WHATS NEXT!}
• AGILITY TRAIN YOUR MIND AS A LIFESTYLE
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The Early Days
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MY BACKGROUND
• Started in 1979 {Ti99/Tape Deck} • Wrote first database on Commodore • BBS Author/ISP {One of the young ones} • Multimedia Producer // Software Engineer • Worked for corporations to startups
{ Military / Federal / Education } • The Writing is on the Wall - MongoDB Time!
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My Computing History
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TI-99/4A {circa 1982}
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Monuments to Awesome-ness
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Languages & Coding {Berkeley Logo}
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Languages & Coding {Learning to Communicate}
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Languages & Coding {Standing on the Shoulders of Giants to Communicate}
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MongoDB Queries Support Projection!
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PROBLEM: The data is available but in various formats, not easy to use and is changing
• Accessing your government should not be data science or outside of SalesForce.com
• PLATFORM HEROKU - {the app processing grid}
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Our target user ranges from the socially conscious individual to Publicly Traded Companies and Governments. Our comprehensive tool will allow…
• Grassroots Organizations, Associations • Publicly Traded Companies • Lobbyists, PACs and Governments
Manage information
• Up-to-Date Congressional Legislator Directories
• Congressional / State Legislation Tracking
• Easy Meetings Management
• Bill and Amendments Tracking
• Committees and more
We are most proud of the tool because it allows both individuals and organizations to understand the landscape of our Government, politics, and social activism.
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MongoDB & Droney Express
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ForceGR / SPEC
• FORCE.COM APP Generator • APEX & PL/SQL Classes • Restful NODEJS HEROKU • Mongo for Import, Reduce and Production
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A Global Competition
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Data Sets Matter• Variety Of Formats
• YAML // XML // JSON // CSV // TAB
• Normalized only for XML / DTD files.
• Multiple websites crawled/parsed {Using RSYNC || PHP To Bulk Load Objects}
• Aggregate Pipeline
• Build Words / Terms from triples
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• Semantic to understand {What you say}
• Latent Semantic to understand {What you mean}
• MongoDB // Provides both when used in pipeline
with other word bag or terminology generators
• The results are we find correlation in unnormalized
data
Data Miner Mongo DB
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Over 500k Objects
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• Monitor the query in MongoDB reactively {Check to see how the indexes need to improve with a statistics collection of performance and counters for the API}
• Compound indexes need to be built on geojson first then other fields when used
• Consider using elastic search to boost the Hackathon Team to victory if free text is slow
Use Conditional Indexes {add Agility_new ways working with this data?}
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• Find source files over APIs //
{ to maintain high speed with no throttles. Hackathon bandwidth is varied sometimes when you need it. It gets worse with time }
• Use Old School Shell Tools // { NodeJS is not ideal for all challenges }
• PHP • PERL • PyThon • RSYNC
MISSION: Data Capture
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• The focus of TEG’s FORCEGR tool is to present information into SalesForce users Desktop
• Then to make decisions about responses to these decisions
• Further guiding the NodeJS learning engine
APEX CLASSES / INTERACTIONS
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question =
(my_department, has, what)
knowledge = (
(I, own, my_apartment),
(my_department, has, my_computer),
(my_department, has, my_vote),
(my_department, is_in, Philadelphia)
)
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‘$push’ ‘$pop’
‘$unset’ ‘$set’
bye bye SQL...
Sew the Dataset
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The Team
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• .NET/Oracle APEX/PLSQL is heavy Spiral DEVOPS
• The Browser Wars- We Won {HTML5/Javascript Rocks}
• SUBVERSION TO GIT DEVOPS TO NEW CHATOPS {Your Dated If You Can’t GIT With It…}
• Shifts in web computer science
• Multitouch surface the GPU and JavaScript are the next big shift
Recognizing Shift
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• Practice writing specifications for NOSQL
• Use New tools to trap ideas
• CHECK YOUR ROADMAP? { are you on course & time? }
• Gain momentum by solving problems quicker
• GIT more done { Practice like you play the game }
• Organization to Reproduce Results {use automated ‘Agents’ when possible & makes sense} {containerize your app with docker or Heroku}
Next Generation DevOps
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question = (my_department, has, what)knowledge = ( (I, own, my_apartment), (my_department, has, my_computer), (my_department, has, my_vote), (my_department, is_in, Philadelphia) )for each statement in knowledge { if ((statement.subject == question.subject or question.subject == what) { and (statement.predicate == question.predicate or question.predicate == what) and (statement.object == question.object or question.object == what)) call FoundAnswer(statement) }}
Output: Answer: my_department has my_computer Answer: my_department has my_vote
Pseudocode for Question- Answering Logic in NodeJS
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• Ask yourself on each project freshly {What else is aggregation good for?}
• HINT: You can use the $out pipeline operator and it will create or replace the collection it spits out, after the results are ready....
Aggregation Tips { Use the Pipeline, Luke! }
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if (! Links.find().count()) { // init data var nodeNames = []; var data = ['Harry,Sally,1.2', 'Rubio,Mario,1.3', 'Obama,Barrack,0.2', 'Thompson,Fred,0.5', 'Peter,Johan,0.7'];
_.each(data, function (val) { var comp = val.split(',');
Links.insert({ source: comp[0], target: comp[1], compute: comp[2] }); nodeNames.push(comp[0]); nodeNames.push(comp[1]);
});
// remove duplicates nodeNames = _.uniq(nodeNames); _.each(nodeNames, function (name) { Things.insert({ _id: name }); }); }
Finesse by using new tools
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VICTORY It never lasts long enough....
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MongoDB & Droney Express
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• HTML5 & WebGL ODM Tools
• MongoDB Powering Geoserver Raster
• Realtime 3-D Model Scenes In A Browser
Hibernate ORM is Dead {long live MongoDB ODM}
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Hibernate ORM VS MongoDB ODM • Hibernate Maps Java Objects To RDBMS And Is
Proven Not Scalable
• RDBMS load times for a single object graph (Hibernate/SQL Server) from 3 to 4 seconds
• Relational model is not suited for complex object graphs.
• Even with massive parallel processing is not economical
Hibernate Search • Cannot Beat Elastic-search & MongoDB In
Response Speed
Business Opportunity
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• ORM Hibernate JBOSS - Object/Relational Model {storage has reached the end of life period…}
• MongoDB is the best object store on the market today • Hibernate is complex when the world needs BSON • MongoDB is Built For Replication • Hibernate Replacement Is An Opportunity.
Market Need {MongoDB Sensor ODM}
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Project Requirements • Open Source/No Internet/Limited WiFI
• Runs on variety of low cost hardware
• Auto-deploys Via Docker On IoT Appliance
• Plugin To Existing GeoServer/ESRI/GRASS
• Replace Hibernate With MongoDB
Droney Express {Range management System}
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• Interchange GeoJSON set of Shapes & Waypoints
• RasberryPi Flight Computer running 2d Queries
• Objects Linked To External GIS Engine (GRASS/ESRI)
• AutoPilot Configuration In Flight/Over-The-Air
• MongoDB Monitors Situational Awareness Of Missions
• GIS Query Results Stream As BSON Objects
What is a Mission?
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Geographic Forensics {sensor data store/search}
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The work of Droney Express
• Planned Geofence Scanning
• 2D/3D indexed sensor data
• GIS & MongoDB Is Powerful
• Integrated GIS Remote Monitoring
• Connect Using DDP To Sync Collections Adhoc
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Sensor Range Management
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Async Data Sync -> Use Oplog For Synchronization
Serve GIS markup with pretty maps using Geoserver...
MongoDB is perfect for Sensors // sorry Oracle
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Flight Plan For Best Routes
GIS Engines Accelerated By MonogDB Can Handle
more ecological range management sensors faster coordinated ground and drone assets
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GEOJSON / MONGODB 2d DRAINAGE MODELING
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GIS ENGINE & PLUGIN Droney Express Flight Planner
Least Cost Power & Route Calculator Export Tools For 3DR Ardupilot.
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Replica Sets Are Ideal For Network Segregation
HQ is Always Primary - Drones Always Secondary
Force Constant State of Disaster Recovery - Dedup
Drones Are Small Autonomous Collection Vehicles
Eventual Consistency In Loosely Coupled Networks
MongoDB Makes Life Easy
Secondaries DeDup Secondaries To Update HQ GIS Backends For Mission Planning & Sensor Datasets
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Droney Heartbeat modeled from mongoDB University
Airborne MongoDB Prevent Election Of New Primary
Droney Flight Computer Always Have Priority Of 0
They Never Get Elected To Primary
[Priority, Optime, Connections]
Sync Using Oplog To HQ After Weeks In Field
Network Environment Spotty For MongoDB Servers
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Statement Replication ...Getting The Data To HQ
Droney Acquires Forensic Sensor Data - ‘A Data Silo’
Facilitates Greater Independence
Replicate Based Oplog For Forensic Time-coding
Member Replica Sync Stored Records Using Oplog
Use Oplog To Journal AutoPilot For Flight Review
MongoDB Secondaries Apply Unique ID Vs Primary
Keeps Mobile Workers From Overwriting Datasets
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Cheap IoT Devices MongoDB 32bit Flight Computers & Range Sensors With Embedded MongoDB
In Flight Computers Are Low Power/LINUX Threaded
Sensors Streaming Data To/From MongoDB
Autopilot Flight Recorder Is MongoDB/NodeJS
IoT SD Cards - Ideal For Circular Buffers In Flight
Circular Buffers Makes Room For New Documents
Overwrite The Oldest Documents In A Collection
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Final Thought.. NO CAMPING … KEEP CLIMBING!
CONSIDER THE FUTURE OF YOUR TIME STUDY NEXT GENERATION DEVOPS SAY “WHY CANT WE FIRST” SHARPEN UP REGULARLY
TEST YOUR SKILLS OR TEACH A SKILL
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Greg Deeds Technology Exploration Group
[email protected] www.TEGbiz.com
@TEGbiz @DRONEYEXPRESS @3dVRviewers