Data Science

Emiliano Actis DatoAnalytics Client Architect

actisdato@ar.ibm.com@emiactisdato

Analytics In-Motion

Analytics Operating System

Security

Platform

Information Management & Governance

Actionable Insight

Discovery & Exploration

Ingestion &Integration

Analytical DataLake Storage

Data Access

DataSources

Enhanced Applications

Data Sources

Analytical DataLake Storage

Security

Platform

Information Management & Governance

Actionable Insight

Analytics In-Motion

Enhanced Applications

Discovery & Exploration

Analytics Operating System

Ingestion &Integration

Data Access

Machine &Sensor

data Image

& Video

Content Services

Social Data

WeatherData

Commercial Data Sets

New sources

Traditionalsources

Third-PartyData

Transactional Data

System of Record Data

Dat

a ac

quis

ition

& a

pplic

atio

n ac

cess

InternetData Sets

ApplicationData

DataStage

Bluemix Data Connect

Bluemix Lift

Data Replication

DataClick

Bluemix Data Connect

Fluid Query

BigSQL

Federation Server

Watson Analytics

Cognos AnalyticsWatson Explorer

DecisionOptimization

SPSS

Weather InsightTwitter Insight

WatsonServices

PCIBBCI

New Business Models

TM1

OpenPages

Fraud& Operations

PMQCMAStreams

Spark

OptimStoredIQ

Master Data Management

Reference Data Mgmt.

Governance Catalog

Industry Data Models

InformationAnalyzer

Guardium Data EncryptionOptim Data Privacy Guardium Activity

Monitoring QRadar

On-Premise

Watson Analytics

Watson Explorer

Data Science Experience

Datacap

IIB

Kafka

InformationServicesDirector

OpenAPIs

Cloud Hybrid

QualityStage

Information Analyzer

Streams DB2 w/ BLU

PDA

IDAA

dashDB

Compose

Hortonworks Data Platform

Bluemix ObjectStorage

Cleversafe

Hortonworks Data Platform

Bluemix ObjectStorage

Cleversafe

Hortonworks Data Platform

Hortonworks Data Platform

dashDB

DB2 w/ BLU

Graph

Data Science Experience

Qué es Data Science?

Small Data Big Datalluvia humedad viento golf

si alta alto nono media alto nosi baja medio nono alta bajo si

Métodos para extraer conocimiento o un mejor entendimiento de los datos, cualquiera sea su formato.

Data MiningData Science

Por qué es Data Science Importante?

Qué hacen las empresas con los datos?Cantidad de datos

Source: IBM, Cisco, Frost & Sullivan Analysis

Data Science: Tendencia

fuente: indeed.com

fuente: google trends

7x en 4 años

70x en 5 años

fuente: opendatabarometer.org

fuente: gapminder.org

El Data Scientist

• Talento

• Set de herramientas rígido

• Fragmentado y perdiendo tiempo

• Silo analítico

Data Science Experience (DSX)

Aprender Crear Colaborar

Artículos, Ejemplos, DataSets

GitHub

Chat Online

Jupyter Notebooks RStudio

Model Builder Flow

Complementos

Cómo consigo DSX?Tres opciones:

• DSX en Bluemix: http://datascience.ibm.com

• DSX Desktop: http://datascience.ibm.com/desktop

• DSX Local: https://datascience.ibm.com/local

DSX en Bluemix en 3 pasosPaso 1: Abrir cuenta en Bluemix

• http://bluemix.net

DSX en Bluemix en 3 pasosPaso 2: Crear Servicio Data Science Experience

DSX en Bluemix en 3 pasosPaso 3: Usar Data Science Experience

• http://datascience.ibm.com

Demo

• Demo 1: Brunel Visualization

• Demo 2: Shiny Movie Explorer