MongoDB Belgium #1: The kickoff

MongoDB introduction and How we use MongoDB at Darwin Analytics

Transcript

1. Darwin Analytics MongoDB WIFI: N-Cube Guests ja2eswaPAq ! #mongobe #darwinanalytics
2. MongoDB Belgium #1: the kickoff
3. • Registered on Meetup.com 6 months ago,
 day-to-day
 • 150+ members • Every 3 months • What about MongoDB Brussels? MONGODB BELGIUM
4. Nils De Moor
 CTO & Co-founder of Woorank 
 Moving from the past (MySQL) to the present (MongoDB, S3, Redis) & the future (MongoDB, S3, Hadoop) ! ! Arthur Viegers
 Senior solutions architect at MongoDB inc ! Internet of Things & MongoDB ! ! Hannes Van De Vreken Back-end engineer at Darwin Analytics ! MongoDB intro and MongoDB at Darwin Analytics SPEAKERS
5. Hannes Van De Vreken • Developer at Darwin Analytics (host) • Using MongoDB for 1.5 years • Started the Meetup group WHO AM I
6. MongoDB intro & Mongo at Darwin
7. • Document store for (nested) JSON objects • Schema-less documents • Sharding & replication (horizontal scaling) • Uniform drivers for every major language MONGODB INTRO
8. Driver’s crud operations 
 Store documents • db.collection.insert({“name”: “John Doe”}); ! Retrieve documents • db.collection.find({“_id”: “abcdef”}, {“name”: 1}) • .sort({“age”: -1}).skip(20).limit(10)
 Update documents: • db.collection.update({“_id”: “abcdef”}, {“name”: “J”})
 Delete documents: • db.collection.remove({“_id”: “abcdef”}) MONGODB ! ! ! ! ! // first parameter is a query object
 // operations on a cursor
 
 // same query object
 
 // same query object
9. Query operators ! • $gt, $lt, $gte, $lte
 • $in, $nin
 • $ne
 • $or MONGODB // greater|less than (or equal) 
 // array operators 
 // not equal ! // combine
10. MONGODB • Aggregation pipeline
 $match, $group, $project & $unwind
 $sort, $skip, $limit
 $geoNear
 $group accumulators: 
 $addToSet, $push, $first, $last, $min, $max, $avg, $sum
 • MapReduce: JS functions 
 More flexible aggregation but no use of indexes: 
 runs over every single document
11. MONGODB • Replication
 Read >> Write (master-slave replication)
 High availability
 • Sharding (based on a key)
 Writes are distributed
 MapReduce execution improvement (read operation)
12. MONGODB • Store it in the format you want to retrieve the documents
 • Filter and query the documents on some well defined fields (and add indexes)
 • You can put indexes on array fields (eg. tags) but limit the array size
13. MONGODB Webinars
14. MONGODB Online courses and certification
15. MONGODB
16. Make sure to grab one before you leave. MONGODB
17. Darwin Analytics Prove and improve your content marketing performance
18. • Tracking content and its result on online sales
 • Only show marketers notable metrics and their content WHAT IS DARWIN ANALYTICS?
19. • Step 1: Retrieve all data from APIs
 • Step 2: Store it on Amazon S3
 • Step 3: Write it sequentially to MongoDB
 • Step 4: Process the new data and store raw numbers
 • Step 5: Show statistical data to users and noteworthy content, retrieved from MongoDB MONGODB USAGE
20. MONGODB USAGE • mongodump & mongorestore ! • mongoexport & mongoimport
 • robomongo
21. MONGODB USAGE
22. MONGODB USAGE • PHP 5.4
 • LaravelPHP 4.1 (and Angular.js)
 • jenssegers/mongodb-lite (adapter)
 • $db = DB::connection(‘mongodb’);
23. Questions?
24. Nils De Moor CTO & co-founder of Woorank
25. Arthur Viegers Senior solutions architect at
26. June 17th Betacowork, Brussels @mongodb_belgium https://meetup.com/ mongodb-belgium NEXT MEETUP
27. Speakers Nils De Moor Arthur Viegers ! Sponsors MongoDB inc
 Darwin Analytics THANK YOU & DRINKS