Transforming Business in a Digital Era with

Big Data and Microsoft

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Perficient is a leading information

technology consulting firm serving clients

throughout North America.

We help clients implement business-driven

technology solutions that integrate business

processes, improve worker productivity, increase

customer loyalty and create a more agile enterprise

to better respond to new business opportunities.

ABOUT PERFICIENT

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PERFICIENT PROFILEFounded in 1997

Public, NASDAQ: PRFT

2014 revenue $456 million

Major market locations:

Allentown, Atlanta, Ann Arbor, Boston, Charlotte, Chicago, Cincinnati,

Columbus, Dallas, Denver, Detroit, Fairfax, Houston, Indianapolis,

Lafayette, Milwaukee, Minneapolis, New York City, Northern California,

Oxford (UK), Southern California, St. Louis, Toronto

Global delivery centers in China and India

>2,600 colleagues

Dedicated solution practices

~90% repeat business rate

Alliance partnerships with major technology vendors

Multiple vendor/industry technology and growth awards

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INDUSTRIES Healthcare

Financial Services

Life Sciences

Consumer Markets

Automotive & Transportation

High Tech

Telecom

Energy & Utilities

Manufacturing

Media & Entertainment

PORTALPortal Frameworks

SearchSecurityWeb AnalyticsWeb Content Management

Social & CollaborationMobilityExperience Design

INTEGRATIONIntegration Frameworks

Cloud ArchitectureReference Architecture

Application IntegrationEnterprise Application IntegrationService Oriented Architecture

Process & Content IntegrationBusiness Process ManagementComplex Event ProcessingRules Engines

DATA & CONTENTBusiness Analytics

Business IntelligencePredictive AnalyticsReporting

Structured Data ManagementData Integration, Quality & GovernanceEnterprise Data WarehouseMaster Data ManagementProduct & Information Management

Unstructured Data ManagementBig DataContent IntelligenceContent Management

Enterprise Search

CUSTOMER EXPERIENCECustomer 360

Multi Channel EnablementRelationship ManagementSocial Engagement

CommerceMarketing Strategy ImplementationOrder ManagementSupply Chain ManagementService & SupportManaged Hosting

Sales & Service SupportCustomer Service, Sales Force Automation

Experience DesignStrategic Roadmaps & Envision Workshops User Research & Metrics AnalysisCreative & Interaction DesignCustom & Responsive UI Development

Digital MarketingSearch Engine MarketingOnline AdvertisingContent StrategyConversion Optimization

Management Consulting

BUSINESS OPERATIONSCorporate Performance Management

Budgeting, Forecasting & PlanningBusiness Analysis & Predictive Analytics

Enterprise Business SolutionsOracle EBSVertex Tax Solutions

Human Resource SolutionsEmployee Portals Human Resource ManagementTalent Management

Enterprise Social PlatformsSocial StrategyLync Unified CommunicationsOffice 365

Management Consulting

OUR SOLUTIONS PORTFOLIO

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PERFICIENT & MICROSOFT

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SPEAKERS

Shankar RamaNathan Perficient

Senior Enterprise Architect,Strategic Advisors Team

Andrew Tegethoff PerficientPractice Lead,

Microsoft Business Intelligence

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Introduction

Digital Transformation & Big Data

Big Data Challenges

Big Data & Microsoft

In the Cloud with HDInsight

In the Data Center with APS

AGENDA

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DIGITAL TRANSFORMATION

Source: McKinsey Global Survey

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DIGITAL TRANSFORMATION

Source: McKinsey Global Survey

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DIGITAL TRANSFORMATION

Source: McKinsey Global Survey

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BIG DATA CHALLENGES:

How to get value from Big Data?

Governance & Security Concerns/ Issues

Analytical / Technology Talent

Integrating different sources of Data

Integrating Enterprise Data with Big Data

Defining Strategy

Funding

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VALUE CREATION FACTORS

Source: McKinsey Global Survey

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CONTROLLING LEVERS OF BIG DATA – RETAIL EXAMPLE

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Customer Databases

Service Records

Text Documents

Product Databases

POS Data

Weblogs

Social Media

Clickpaths

Callcenter

Payment Database

CUSTOMER EXPERIENCE

Omni Channel Strategy

Integrating

Enterprise Data

Big Data: At rest & in

motion

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BIG DATA RISKS AND OPTIONS

Not able to show business value

Difficulty in finding the resources

IT/HW/SW installation bottle-neck

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BIG DATA PLAYERS

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BIG DATA PLAYERS

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BIG DATA & MICROSOFT

Andrew Tegethoff,

Microsoft BI Practice Lead

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Consulting on strategic and tactical aspects of BI with the Microsoft Data Platform

MICROSOFT BUSINESS INTELLIGENCE

2020

• Volumeo Terabytes, petabytes,

exabytes

• Velocityo How much data is

created every minute?

• Varietyo Social, Web, Internet of

Things, etc.

BIG DATA

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BIG DATA

What types of data are we talking about?

People to People

Online forums

Social networks

Blogs

SMS threads

Email threads

People to Machine

E-commerce

Bank cards

Credit cards

Mobile devices

Digital TV

Machine to Machine

Medical devices

GPS devices

Bar code scanners

Sensors

Surveillance cams

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An open source framework for the storage and processing

of very large data sets.

The Hadoop ecosystem consists of many additional tools that perform functions like:

• Resource management

• Extract, Transform and Load (“ETL”) and/or Extract,

Load and Transform (“ELT”)

• Full text search

• Workflow scheduling

• SQL querying

ENTER HADOOP

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WHAT CAN

HADOOP DO?

• Allow you to keep pace with more volume, more variety, and greater velocity of data.

• Allow you to store all of data in its raw form, so you can ask questions later that were not thought of when the data was captured.

• Enable you to ask questions of your data that previously couldn’t be answered – as well as capture data that previously couldn’t be captured.

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INTRODUCING HDINSIGHT

• Key part of Microsoft’s Big Data/Hadoop story

• “PaaS” option for cloud Hadoop

• Azure wraps an Apache Hadoop implementation

created by Hortonworks and Microsoft partnership

• Uses Azure Storage (Tables) for scalable “NoSql”

cloud storage

• Integrates Big Data into existing applications, BI

solutions, reporting environments, Excel

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• Establish an Azure Storage account

• Set up an HDInsight cluster

• Account cost relates directly to size of cluster & uptime!

• Upload data

• Using native JavaScript, Hadoop command line, Sqoop connection from

SQL Server or Azure SQL Database or a raft of third-party tools

• Connect and analyze

• Use SQL Server and/or Excel via ODBC,

• Integrate with applications via Hadoop.NET or Azure SQL Database via

Sqoop

HOW DOES IT WORK?

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CLOUDERA ON AZURE

• CDH – Cloudera Hadoop distribution

• Installed on Azure Virtual Machines

running Linux

• Cloudera’s preferred cloud platform

• “IaaS” option for cloud-based Hadoop

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WHERE DOES IT FIT?

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ADVANCED ANALYTICS WITH AZURE MLCLOUD-BASED DATA SCIENCE & PREDICTIVE ANALYTICS

• Fully-managed Azure offering

• Browser-based development environment

• Deploy predictive models as a Web Service with

Azure ML API

• Data sources: Use HDInsight, Azure Storage, local

data files, HTTP

• Includes best in Class Algorithms from Xbox & Bing

• Built-in support for the R language, includes over

350 packages, or “BYO” R code

• Deploy in minutes

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INTERACTING WITH HDINSIGHT

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Connect to an HDInsight cluster using Power Query

Extract data into Power Pivot, join with other datasets

from a variety of sources to create powerful mashups

Easily translate Big Data into compelling

visualizations with Power View

ANALYZE BIG DATA WITH POWER BI

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CLOUD HADOOP:THE VALUE PROP

• Enables Big Data/Hadoop

proposition, but on a scalable pay-as-

you-go basis

• Enhances analytical capability over

“loosely structured” data

• Expands scope and type of analysis

possible across a wide variety of use

cases

• Integrates easily with existing data

systems

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• Turnkey, on-premises Big Data analytics appliance

• Relational Data

• Massively Parallel Processing (MPP) with SQL

Server Parallel Data Warehouse (PDW)

• Non-Relational Data

• 100% Hadoop installation via on-premises version

of HDInsight

• Seamless Querying

• Polybase – query Big Data using SQL

• Performance

• In-Memory Columnstore

• Scale up to 6 PB

ANALYTICS PLATFORM SYSTEM (APS)

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APS ARCHITECTURE

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– Massively Parallel Processing (MPP)

• Fundamentally different than typical RDBMS

Symmetric Multi-Processing (SMP)

• “Shared nothing” architecture

• Large number of dedicated processors

• Every CPU has its own storage

– Better query and load performance

• Amplified by inclusion of In-Memory

Columnstores

– Fault-tolerant, inexpensive, yet comprehensive

VLDW solution

SQL SERVER PDW

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ONCE AGAIN… HDInsight

– Fundamentally the same

product, but deployed within

the APS appliance

– 100% Apache Hadoop

– Query with SQL via Powerbase

– Fully integrated with Microsoft

platform

• User authentication with ADFS

• High availability

• WS Failover Clustering

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ON-PREMISES HADOOP: THE VALUE PROP

• Relational and non-relational data

management in one turnkey

solution

• Lowest cost per TB for a data

warehouse appliance in the industry

• Hardware choices: Dell, HP, Quanta

• Integrates into Windows infrastructure

• Performance, security, and scalability

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PLANNING FOR THE FUTURE

• Establishing target problems

• Identifying resources (i.e. Azure, on premises)

• Defining and acquiring required skillsets

• Bringing it all together

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POLL

Where do you feel you need help with Big Data technology?a. Establishing a business caseb. Transitioning from POC to production c. Establishing a Solution Architectured. Hadoop/Open Source toolsete. Microsoft toolsetf. Other

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WHAT’S NEXT

Follow along:

Twitter.com/Perficient_MSFT

Blogs.perficient.com/microsoft/

Next up:

Microsoft Ignite

May 4-8 | Chicago, IL

Booth 330

Download:

Guide to IT Modernization

bit.ly/ITModernization