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Copyright © 2015, SAS Institute Inc. All rights reserved. ACCELERATING THE VALUE OF BIG DATA LIM KOK YEW PRINCIPAL SOLUTIONS ARCHITECT

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C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

ACCELERATING THE VALUE OF BIG DATA

LIM KOK YEW

PRINCIPAL SOLUTIONS ARCHITECT

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

BIG DATA INDUSTRY ADOPTION

Retail

•CRM – Customer Scoring

•Store Siting and Layout

•Fraud Detection / Prevention

•Supply Chain Optimization

Manufacturing

•Product Research

•Engineering Analytics

•Process & Quality Analysis

•Distribution Optimization

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

BIG DATA INDUSTRY ADOPTION

Media & Telecommunications

•Network Optimization

•Customer Scoring

•Churn Prevention

•Fraud Prevention

Energy

•Smart Grid

•Exploration

•Smart Metering

•Non-Technical Loss

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

BIG DATA INDUSTRY ADOPTION

Financial Services

•Algorithmic Trading

•Risk Analysis

•Fraud Detection

•Portfolio Analysis

Advertising and PR

•Demand Signaling

•Ad Targeting

•Sentiment Analysis

•Customer Acquisition

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

BIG DATA IN

MALAYSIA EMERGING SECTOR PROFILE

Source: Big Data Malaysia

Which industry vertical is your

organization primarily in?

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

BIG DATA THE CHALLENGES

Source: Gartner (Sep 2014), Big Data Investment Grows but Deployments Remain Scarce in 2014 By Nick Heudecker, Lisa Kart

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

BIG DATA ANALYSTS TAKE

Recommendation

“Use self-service interactive data preparation tools to enhance analyst productivity.” and

“improve the quality of data”

– Gartner, “Data Preparation Is Not an Afterthought”

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

SAS DATA LOADER FOR HADOOP

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

SAS DATA LOADER

FOR HADOOP AT THE CONFLUENCE OF 4 KEY CAPABILITIES

Simple UI Designed for Self-Service Data

Preparation

Load Data In-

Memory for

Visualization and

Analysis

Perform Data Integration and Data

Quality Tasks

Purpose-Built to run in

parallel on Hadoop

Hadoop

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

SAS® DATA LOADER

FOR HADOOP

SELF-SERVICE DATA PREPARATION, DATA INTEGRATION

AND DATA QUALITY FOR HADOOP

Query, Join and

Filter

Load and Transform

Profile Cleanse Business

Analyst/Data

Scientist

Hadoop

Empower Business Users – Unburden IT - Harness the Power of Big Data

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

SAS DATA LOADER

FOR HADOOP BENEFITS

• Can be used with minimal training by business users to profile, transform, cleanse and load data into Hadoop and in-memory without writing code.

Business Users: Self-Service Big Data Access and Preparation

• The intuitive wizard-driven user interface reduces the pain and costs with finding, retaining and training talent with the specialized skills required to manage big data on Hadoop. Data provisioning tasks are shared with business users.

IT: Lower TCO, Productivity and Reduced Training

• SAS code and data quality functions are run in-cluster for improved performance. This reduces data movement for improved governance and security of trusted data.

Data Scientists/SAS Coders: Performance and Governance

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

DEM0

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

SAS DATA LOADER

FOR HADOOP VALUE POINTS

• Point-and-click UI designed for self-service data preparation

• Purpose-Built to run on Hadoop

• Enables previously complex parallel data movement and data

quality tasks without writing code

• Enables visualization and advanced analytics on Hadoop by

loading data in-memory to the SAS LASR Analytic Server

• Big Compute: Moves the processing to the data

• Enables seamless data preparation and reuse of skills across both

traditional relational databases and Hadoop across the entire data

to decision lifecycle

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

SAS ON HADOOP DIFFERENTIATORS

Hadoop for

dummies

Keep the

lake clean

The Perfect

Love Story

EP

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

SAS DATA LOADER

FOR HADOOP TRY IT FOR FREE

C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .

THANK YOU