Powering the "As it Happens" Business

© 2015 MapR Technologies 2

MapR: Best Solution for Customer Success

Premier

InvestorsHigh Growth

2X Growth In Direct Customers

90%Subscription Licenses

Software Margins

140% Dollar-based Net Expansion

700+ Customers

2X Growth In Annual

Subscriptions ( ACV)

Best Product

Apache Open Source


CIO “Must Have” Strategies Over Time

Distributed

Computing?Big

Data?

Web?

Ecommerce?

Cloud?

Social?

Mobile?

Open

Source?


CIO “Must Have” Strategies Over Time

Distributed

Computing?Big

Data?

Web?

Ecommerce?

Cloud?

Social?

Mobile?

Open

Source?

Back Office

“Automation”

“Cost reduction”

“Retrospective”

Front Office

“Customer intimacy”

“Revenue creation”

“Just-in-time”


Advantage From Speeding Data-to-Action Cycle

The “As it Happens” Business

What

happened

historically?

What can we

do to affect

change?

What’s

happening

now?


MapR Vision

Empowering the

“As-it-Happens” business

by speeding up the

data-to-action cycle


MapR Architected A Platform For The Age Of Big Data

Apps

Databases

Operational

App platform

Storage

1980s 2000s 2010s

Big data apps

RDBMs

SAN/NAS

Monolithic

UNIX Linux

RDBMs

Scale out

Web

Structured Unstructured

Operational Analytics


Alternatives Do Big OR Fast, But Not Both

BigLimited reliability

Limited functionality

Batch (mostly)

Rewrite Existing Apps

Fast

Expensive

Special purpose

Coding required for speed

Limited scale

Limited functionality

OR


Multiple Workloads Today

Hadoop Batch

Import/

Export

Any

Operational

DBMS

Customer

360° Dashboard

Churn Analysis

(predictive

analysis)

DB

Operations

Web

Application

Server

Mobile

Application

Server

Data

Exploration

(SQL)

This is how most clients solve Big and Fast


For the ”As-it-Happens” business: It Must Be Both Big And Fast

Unlimited Scale

Data diversity

Evolving schemas

Affordable

Secure

Reliable

Manageable

Fast ingestion

Batch & streaming

Polyglot

RDBMS & NoSQL

General purpose

Affordable

Big FastAND


Integrated

Real Time

and Actionable

Analytics

Real-time

Ad Targeting

Product/sService

Optimization and

Personalization

• Single cluster

• Real time

• High performance, low latency

• Large-scale analytics

• Enterprise-grade HA/DR

• Unified file and table administration

Customer

360° Dashboard

Churn Analysis

(predictive

analysis)

DB

Operations

Web

Application

Server

Mobile

Application

Server

Data

Exploration

(SQL)

One Integrated System For Big & Fast


I thought all Hadoop Vendors were the same…


Other Hadoop Distributions Have Limitations

APACHE HADOOP AND OSS ECOSYSTEM

Security

YARN

Spark Streaming

Storm

StreamingNoSQL & Search

Juju

Provisioning &

coordination

Savannah

ML, Graph

Mahout

MLLib

GraphX

EXECUTION ENGINES DATA GOVERNANCE AND OPERATIONS

Workflow & Data

Governance

Pig

Cascading

Spark

Batch

MapReduce v1 & v2

Tez

HBase

Solr

Hive

Impala

Spark SQL

Drill

SQL

Sentry Oozie ZooKeeperSqoop

Flume

Data Integration& Access

HttpFS

Hue

MapR Data Platform(Random Read/Write)

Can’t scaleNo update in-place

or handling streamsSingle points of

failure. No data center-class

reliability

Batch only. Need separate

systems

for real time

HDFS can only be a platform for

Hadoop and nothing else


MapR: The Only Platform Architected For Big, Fast, Reliable

APACHE HADOOP AND OSS ECOSYSTEM

Security

YARN

Spark Streaming

Storm

StreamingNoSQL & Search

Juju

Provisioning &

coordination

Savannah

ML, Graph

Mahout

MLLib

GraphX

EXECUTION ENGINES DATA GOVERNANCE AND OPERATIONS

Workflow & Data

Governance

Pig

Cascading

Spark

Batch

MapReduce v1 & v2

Tez

HBase

Solr

Hive

Impala

Spark SQL

Drill

SQL

Sentry Oozie ZooKeeperSqoop

Flume

Data Integration& Access

HttpFS

Hue

MapR Data Platform(Random Read/Write)

MapR-FSHDFS and NFS APIs

MapR-DB(High-Performance NoSQL)

More efficient use of

infrastructure

First new

database

designed

for

operational

real-time

Surf any data

easily

Industry’s only mirroring, point-

in-time consistent snapshots

Trillion filesUnique

Unique

Unique

Unique

Unique

2-7x faster

Open source

Projects ‘inherit’

MapR’s platform

attributes


Real-Time Hadoop Requirements

REAL-TIME DATA

REAL-TIME APPLICATIONS

REAL-TIME ANALYTICS


TechValidate: Others Say So


MapR and Teradata


"Our customers were saying, 'Look, I have chosen Teradata as

best-in-class data warehousing; I have chosen MapR as best-

in-class Hadoop infrastructure. I want you guys to integrate those together,'" said Teradata Vice President of Product and Services Marketing Chris Twogood. "Amongst our customers,

90 percent of them were saying we want tighter integration.“

MapR Hadoop Gets Blessing From Data Warehouse Giant

Teradata

CRN, Nov 19, 2014

http://www.crn.com/news/applications-os/300074841/mapr-hadoop-gets-blessing-from-data-warehouse-giant-teradata.htm


Partnership Announced on November 19th, 2014

• Teradata’s UDA one-stop-shop strategy is now extended to MapR

– Teradata customers get single vendor accountable for the full Hadoop ecosystem

– Teradata now a strategic partner to design, implement & provide solutions with MapR

• Deeper software integration between Teradata and MapR

– Seamless access across the Teradata UDA

– Teradata QueryGrid to support MapR

– Teradata Loom fully supports MapR Distribution for Hadoop

• Resell of subscriptions (license + support) for 3 core MapR products

– MapR Community Edition (free version, Teradata Customer Support)

– MapR Enterprise Edition (license and Teradata Customer Support)

– MapR Enterprise Database Edition (license and Teradata Customer Support)

• Teradata can resell Professional Services and Training curriculum

– Teradata can sell MapR education and training services and professional services to Teradata customers

– Through one phone call, provides single vendor accountability across the UDA

MapR & Teradata Expand PartnershipPartnership extends Hadoop choices by providing integration,

joint product development, and unified go-to-market strategy


• Economically Capture and Store More Data

• Analytics on Low Business Value Density Data

• Enterprise-grade NoSQL Database

• Economically

Reuse and Share

Data

• Analytics on High

Business Value

Density Data

• EDW Leader

Right Tool for the Right Job

Teradata and MapR – Architecture Matters


Marketing

Executives

Operational

Systems

Frontline

Workers

Customers

Partners

Engineers

Data

Scientists

Business

Analysts'

Math

and Stats

Data

Mining

Business

Intelligence

Applications

Languages

Marketing

APPLICATIONS

USERS

DISCOVERY PLATFORM

INTEGRATED DATA WAREHOUSE

ERP

SCM

CRM

Images

Audio

and Video

Machine

Logs

Text

Web and

Social

SOURCES

DATAPLATFORM

TERADATA UNIFIED DATA ARCHITECTURE

ACCESSMOVEMANAGE

STREAMING &NOSQL APP’SSTREAMING &NOSQL APP’S


Capability Community Edition Enterprise EditionEnterprise Database

Edition

MapR Distribution including Apache Hadoop

Apache Hadoop & Open Source Projects

Core Hadoop, Cascading, Drill, Flume, HBase, Hive, Hue, HttpFS, Impala, Juju,

Mahout, MapReduce, Oozie, Pig, Solr, the full Spark stack, Sqoop, YARN, ZooKeeper

✔ ✔ ✔

MapR Data Platform and System Management

Performance ✔ ✔ ✔

Scalability ✔ ✔ ✔

Direct Access NFS™ ✔ ✔ ✔

Standards-based APIs and Tools ✔ ✔ ✔

Manageability ✔ ✔ ✔

Integrated Security ✔ ✔ ✔

Multi-tenancy ✔ ✔ ✔

Advanced Multi-tenancy ✔ ✔

Consistent Snapshots ✔ ✔

High Availability ✔ ✔

Disaster Recovery ✔ ✔

MapR-DB - integrated enterprise-grade NoSQL ✔ ✔

Support Features

Community Support ✔ ✔ ✔

24x7 Commercial Support ✔ ✔

MapR Solutions Resold by Teradata


Customers & Use Cases


MapR Use Case InventoryHEALTHCARE & LIFE SCIENCES

GOVERNMENTADVERTISING, MEDIA & ENTERTAINMENT

• Improved ad targeting, analysis,

forecasting and optimization

• Personalized recommendations

• Superior analytics capability

• Enhanced game player engagement

FINANCIAL SERVICES

• Fraud Detection

• Customer Segmentation Analysis

• Customer Sentiment Analysis

• Risk Aggregation

• Counterparty Risk Analytics

• New Products and Services for

Consumer Card Holders

• Credit Risk Assessment

• 360-Degree Customer Service

• Cybersecurity, Intelligence

• Crime Prediction and Prevention

• Defense, National Security

• Pharmaceutical Drug Evaluation

• Scientific Research

• Weather Forecasting

• Fraud Detection

• Emergency Communications/Response

• Traffic Optimization

TELECOMMANUFACTURING OIL & GAS RETAIL

• Personalized Treatment Planning

• Assisted Diagnosis

• Fraud Detection

• Monitor Patient Vital Signs

• Assembly Line Quality Assurance

• Preventive Maintenance

• Supply Chain and Logistics

• Monitoring Product Quality through

Telemetry Data

• Real-time Parts Flow Monitoring

• Product Configuration Planning

• Market Pricing and Planning

• Oil Exploration and Discovery

• New oil prospect identification

• Seismic trace identification

• Oil Production

• Equipment Maintenance

• Reservoir Engineering

• Safety and Environment

• Security

• Up-Sell/Cross-Sell Recommendations

• Social Media Analysis

• Dynamic Pricing Across Multiple

Channels

• Fraud Detection

• Clickstream Analysis

• Loyalty Program Benefits

• 360° Customer View

• Operational Intelligence

• Customer Churn Analysis

• Fraud Detection

• Clickstream Analysis

• Recommendations

• Product Development

• Network Management/Optimization


Cisco was able to analyze service sales opportunities in 1/10 the time, at 1/10 the cost,

and generated $40 million in incremental service bookings in the first year.

Cisco: 360° Customer ViewCisco uses integrated customer data to increase revenues

• Create shared view of customer & operations across 75,000 employees

• Increase revenue opportunities with sales partners

• Customer information was siloed in different divisions

• Customer interactions were inconsistent and not satisfying

• Missed opportunities for upselling/cross selling

• Use MapR to collect customer information across touch points

• Integrate billing, support, manufacturing, social media, websites, dial-in data

• Generate new sales leads internally and for partners

OBJECTIVES

CHALLENGES

SOLUTION

Architecture for

Sales Partner Opportunities

Business Impact


Cisco Data Platforms Reference Architecture

“The entire market is starting to realize that data is everywhere and an agile ecosystem is paramount. The marketplace demands the

flexibility to meet specific needs and decisions are being made based on how well the ecosystem players are integrated.”

Arvind Bedi, Director IT, Cisco Systems

DATABASES

DOCS, CASES,

CONTENT, SOCIAL

MEDIA, CLICKSTEAM

Data Storage and Processing

ERP

SFDC

SAP HANA ON UCS

AGILE ANALYTICS

MAPR DISTRIBUTION FOR

HADOOP

Streaming(Spark

Streaming,

Storm)

MapR-DB


HADOOP

Batch(MR, Spark,

Hive, Pig, …)

MapR-FS

BIG DATA PLATFORM

MISSION CRITICAL

REPORTING

DATA SECURITY,

INFRASTRUCTURE

CUSTOMER NETWORK,

PRODUCT USAGE

INTERNET OF

EVERYTHING (IoE)

SELF SERVICE

DASHBOARD

RAPID BUSINESS

MODEL

DATA

EXPLORATION

REAL TIME

PREDICTIVE

MISSION CRITICAL

OPERATIONAL

REPORTS

FINANCIAL

REPORTING &

EXTRACT

DATA ANALYSIS,

TEXT ANALYTICS

MACHINE LEARNING,

STATISTICAL

ANALYSIS

MACHINE DATA

INSIGHTS

FINANCIALS

STABLE CORE

CONTROLLED CHANGE

Network of

Trust

MapR Data Platform

Data ConsumptionData Sources

ALL Other Sources

Data Bases

(Mobile/ Browser/ Data Service)

Interactive(Drill, Impala)


Increase in Website engagement and conversion with more relevant offers

Improved customer satisfaction and reduced churn

Higher performance (35-60% faster) & reliability for customer-facing applications

Improving the Customer Experience with Big DataLarge brokerage increases customer acquisition rate and improves customer service

• Increase conversion rate of online visitors to customers

• Provide real-time response for call center agents to service customers

• Inability to provide customers with right content through right channel

• Lack of real-time 360 view into customers

• Operational issues with prior Hadoop distribution

• Easy ingestion of customer, application and clickstream data with NFS

• Deeper insights to customer preferences across web, mobile, call center

• Real-time contextual offers to clients using MapR-DB

• Real-time streaming application for customer support with Storm on MapR

OBJECTIVES

CHALLENGES

SOLUTION

Business

Impact

LARGE BROKERAGE



HADOOP

NFS,

Sqoop, Flume MapR-DBHive &

Datameer

Ingest, Transform, Enrichment

(Batch Processing)

Interactive

analyticsOperational

Drill

MapR-FSStreaming

MapR Data Platform

MapR-FS MapR-DB

Storm

Architecture and Use Cases Data Movement

Data Access

Relevant customer

offers & experience

CUSTOMIZED

FINANCIAL PRODUCT

CONTEXTUAL

CUSTOMER SUPPORT

Real-time call

center response

CUSTOMER 360 & WEB

Web

Clickstream

(Omniture)

Application Logs

(Splunk)

Customer Data

(Teradata)

Data Sources Customer 360

database

DISTRIBUTION FOR HADOOP

160 customer attributes

Call Center Records


For More Details Visit MapR.com


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