Introduction to the IBM Watson Data Platform

IBM Watson Data Platform and Open Data

27 February 2017

Margriet Groenendijk | Developer Advocate | IBM Watson Data Platform

@MargrietGr

https://medium.com/ibm-watson-data-lab

@MargrietGr

About me

Developer Advocate, Data scientist

Previous

Research Fellow at University of Exeter, UK

PhD at VU University Amsterdam, the Netherlands

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IBM Watson Data Platform

Connect Discover Accelerate

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IBM Watson Data Platform

IBM Bluemixhttps://console.ng.bluemix.net/

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Bluemix

https://console.ng.bluemix.net/

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https://github.com/snowch/movie-recommender-demo

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https://movie-recommender-demo-margrietgroenendijk-1234.mybluemix.net/

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APIs

https://github.com/MargrietGroenendijk/Bristol

https://github.com/MargrietGroenendijk/Bristol

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Example : twitter

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Example : Watson Tone Analyser

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EmotionLanguage style

Social propensities

Analyze how you are coming across to others

CloudantNoSQL

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Cloudant is a database

id firstname lastname dob

1 John Smith 1970-01-01

2 Kate Jones 1971-12-25

{ "_id": "1", "firstname": "John", "lastname": "Smith", "dob": "1970-01-01" }

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Cloudant is "schemaless"

{ "_id": "1", "firstname": "John", "lastname": "Smith", "dob": "1970-01-01", "email": "john.smith@gmail.com" }

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Cloudant is "schemaless"

{ "_id": "1", "firstname": "John", "lastname": "Smith", "dob": "1970-01-01", "email": "john.smith@gmail.com", "confirmed": true }

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Cloudant is "schemaless"

{ "_id": "1", "firstname": "John", "lastname": "Smith", "dob": "1970-01-01", "email": "john.smith@gmail.com", "confirmed": true, "tags": ["tall", "glasses"] }

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Cloudant is "schemaless"

{ "_id": "1", "firstname": "John", "lastname": "Smith", "dob": "1970-01-01", "email": "john.smith@gmail.com", "confirmed": true, "tags": ["tall", "glasses"], "address" : { "number": 14, "street": "Front Street", "town": "Luton", "postcode": "LU1 1AB" } }

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Cloudant is built for the web

▪Store JSON Documents

▪Speaks an HTTP API

▪Lives on the web

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Cloudant is fault tolerant

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Cloudant is fault tolerant

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Cloudant is resilient

"write"

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Cloudant is resilient

"ok"

"write"

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Cloudant is scalable

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Cloudant replicates

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Cloudant replicates

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Cloudant replicates

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Cloudant replicates

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Runkeeper

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Open Street Map Data

IBM Cloudant Use from anywhere!

Daily updatesVM daily cron Python script

Always up to date! Currently 12,467,460 POIs

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wget -c http://download.geofabrik.de/europe/netherlands-latest.osm.pbf

Several data sources - world, continent, country, city or a user defined box

Several data formats for which free to use conversion tools exist - pbf, osm, json, shp

Example:

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Extract the POIs with osmosis

osmosis --read-pbf netherlands-latest.osm.pbf \--tf accept-nodes \

aerialway=station \aeroway=aerodrome,helipad,heliport \amenity=* craft=* emergency=* \highway=bus_stop,rest_area,services \historic=* leisure=* office=* \ public_transport=stop_position,stop_area \shop=* tourism=* \

--tf reject-ways --tf reject-relations \--write-xml netherlands.nodes.osm

(easy to install with brew on Mac)

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Some cleaning up with osmconvert

Convert from osm to json format with ogr2ogr

osmconvert $netherlands.nodes.osm --drop-ways --drop-author --drop-relations --drop-versions >$netherlands.poi.osm

ogr2ogr -f GeoJSON $netherlands.poi.json $netherlands.poi.osm points

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Upload to Cloudant with couchimport

export COUCH_URL="https://username:password@username.cloudant.com"

cat $netherlands.poi.json | couchimport --db poi-$netherlands --type json --jsonpath "features.*"

https://github.com/glynnbird/couchimport

IBM Cloudant

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Examples from

https://console.ng.bluemix.net/docs/services/Cloudant/api/cloudant-geo.html#cloudant-geospatial

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UK Crime Data from https://data.police.uk/data/

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https://opendata.cloudant.com/crimes-uk/_design/spatial/_geo/newGeoIndex?bbox=-2.600283622741699%2C51.44886539765683%2C-2.5962066650390625%2C51.4533851454499&limit=20&relation=contains

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Python - requests

dashDBData warehouse

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Add the dashDB service in Bluemix

Add a service

Search for dashDB

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3

1

2

posted:2016-08-01,2016-10-01 followers_count:3000 friends_count: 3000 (weather OR sun OR sunny OR rain OR hail OR storm OR rainy OR drought OR flood OR hurricane OR tornado OR cold OR snow OR drizzle OR cloudy OR thunder OR lightning OR wind OR windy OR heatwave)

REST API docs:https://new-console.ng.bluemix.net/docs/services/Twitter/twitter_rest_apis.html#rest_apis

Search for tweets

4 Select table

Use an existing service

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Apache Spark

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Apache Spark

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RDDs : Resilient Distributed Datasets

Data does not have to fit on a single machine

Data is separated into partitions

Creation of RDDs

Load an external dataset

Distribute a collection of objects

Transformations construct a new RDD from a previous one (lazy!)

Actions compute a result based on an RDD

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Load tweets from dashDB with Spark SQL

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Clean data, summarise and load into pandas DataFrame

IBM Data Science Experience

datascience.ibm.com

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Getting started

▪ Go to datascience.ibm.com and sign in with your Bluemix account when you have one, else sign up for one at the top right of the screen

Create a project

▪ Create New project, click on the link in top of the screen▪ Or go to the My Projects in the menu on the left of the screen and click Create New Project

here

Create a project

▪ Name the Project▪ Choose a Spark Service▪ Choose an Object Storage▪ Click Create

Add collaborators

▪ Click add collaborator▪ Search for your project members▪ Select Permission

Add a notebook

▪ Click add notebooks

Add a notebook

▪ Click add notebooks▪ Pick your favourite:▪ Python 2 ▪ Scala▪ R▪ Choose Spark 1.6 or 2.0▪ Click Create Notebook

Let’s write some code

▪ Click the pen icon to start adding code (edit mode)▪ When collaborating only one person can edit, others can add comments to the notebook

when in view mode

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Example : Bristol open data

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Object-store

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Python package PixieDust

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Watson Machine Learning

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IBM Watson Data Platform

Bluemix

Data storage

Apps

Watson APIs

Weather

Data Science Experience

Watson Machine Learning

Watson Analytics

Thanks!https://github.com/MargrietGroenendijk/Bristol

http://www.slideshare.net/MargrietGroenendijk/presentations

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https://medium.com/ibm-watson-data-lab