infochimps cxo seminar @ parc

PARC host safety announcements Stay in the designated event areas only; you are not allowed to go elsewhere in the building without a PARC escort. No smoking in the building or within 20 feet of the entrances; restrict smoking to the outdoor area near the designated ash cans. In case of an emergency (evacuation as signaled by alarm horns and flashing lights or by an earthquake), please:

– Walk quickly but don’t run through the foyer and up the outside stairs to the upper parking lot. (If the foyer doors are blocked, take the nearest stairway up to the 3rd floor, then out to the upper parking lot.)

– Do not leave the site before checking in with your group! Gather with your group and notify the Emergency Response Team (in orange vests) about missing members after checking lists or roll call.

– Do not go back into the building until the Emergency Response Team gives the “All Clear”.

If anyone in your group needs medical attention please:– Call Security at x2222 from a wall phone or 650-812-4000 from a cell phone.– Security will contact the PARC Emergency Response Team and will call 911 for

paramedics. This is the fastest way for you to get trained medical assistance.

Unlocking Data ROIFast

CXO Big Data SeminarSeptember 26, 2012

By Jim KaskadeCEO, Infochimps

04/10/2023 Infochimps Confidential 4

Infochimps• Managed Big Data Services• Elastic & Secure Private &

Public Clouds• Across a Global Network of

Trusted Data Center & Cloud Service Providers

• With Batch & Real-time Analytic Framework

• Supporting Structured & Unstructured Data

Big Data IntelligenceDelivery Network

Global Network OfData Center Infrastructure Providers

Enterprise Customers

Hadoop NoSQL

DataDelivery

DataLang

AppBI

Analytics SysBI

InfraDelivery


“ ”Information is powerful.

But it is how we use is it that will define us.


1.What is Big Data?

“data sets so large and complex that it becomes difficult to process using on-hand database management tools.”


2.Is there a reference design?

“It depends on your application.”

Reference Design

8

UI Framework (Hue)Other App Services: Search, Reporting,

Visualization, Auto Response

Analytics (Mahout, Revolution R, Custom Algorithms)

Big Data Applications

Oozie (Workflow) Oozie (Scheduling) Hive (Metadata)

Languages (Pig, Hive)

Data Processing

(Map Reduce)Distributed Storage (HDFS)

Read / WriteNoSQL(Hbase

Cassandra)

Data Integration(Flume, Sqoop, Storm,

Talend)

Infrastructure As A Service (IaaS) – Cloud or Commodity HW

App-Dev API

Coordination (Zookeeper)

Appl

icati

on L

ifecy

cle

Man

agem

ent

Secu

rity

(Ker

bero

s)

Syst

ems

Mon

itorin

g &

Man

agem

ent (

Gan

gila

, Nag

ios,

Am

bari)

Complex Event Processing (Espers)

Metadata Services (Hcatalog)


3.What are typical Big Data Applications?

“It depends on what data you have.”

10

Big Data ApplicationsAD

VAN

CED

AN

ALYT

ICS

1 2Core Use Cases (1 & 2)

Applied Across Verticals

DATA

PRO

CESS

ING

Social Network Analysis

Content Optimization

Network Analytics

Loyalty & Promotions Analysis

Fraud Analysis

Entity Analysis

Clickstream Sessionization

Engagement

Mediation

Data Factory

Trade Reconciliation

Signal Intelligence

VERTICAL

Web

Media

Telco

Retail

Financial

Federal

Bioinformatics Genome MappingSequencing Analysis


4.What is the Big Data Process?

“It depends on how much you’re will to pay.”


ProcessBU

SIN

ESS

DIS

COVE

RY

INFO

RMAT

ION

DIS

COVE

RY

LOG

ICAL

DATA

MO

DEL

PHYS

ICAL

DATA

MO

DEL

SYSTEMSTAGING

DATAINGESTION &

TRANSFORMATION

APPLICATIONDEVELOPMENT

Data Warehouse Project = 12-24 months

BUSI

NES

SD

ISCO

VERY

INFO

RMAT

ION

DIS

COVE

RY

SYSTEMSTAGING

DATAINGESTION

&TRANSFORMAT

ION

APPDEV

On-Premise Big Data Project = 6-12 months

PRO

DU

CTIO

NTU

NIN

G

PRO

DU

CTIO

NTU

NIN

G

ANALYTICS

ANALYTICS


5.What are my deployment options?

“Well, that also depends on…”


? Time to Market? Cost? Expertise? Culture? Data Governance / Security? Data Volume & Velocity? Performance? Legacy Infrastructure Integration


Deployment Options

Private Cloud(On-Premise)

Virtual Private Cloud(3rd Party Trusted

Data Center)

Public CloudProvider


Private Big Data Cloud (Y

ou Manage)

Virtual P

rivate Big Data Cloud (Y

ou Manage)

Public Big Data Cloud (Y

ou Manage)

Virtual P

rivate Big Data Cloud (M

anaged Service)

Public Big Data Cloud (M

anaged Service)

$Cost Security Risk Time To Market

You Manage “They” Manage

$ $$

$$

Unlocking Data ROIFast

CXO Big Data SeminarSeptember 26, 2012

By Jim KaskadeCEO, Infochimps

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• Surendra Reddy, Big Data CTO, PARC• Ron Bodin, CEO, Think Big• Charles Fan,SVP Strategic R&D, VMware• Eddie Sattery, Chief Big Data Evangelist, Splunk• Jim Kaskade, CEO, Infochimps

infochimps cxo seminar @ parc

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