Are you ready for Big Data 2.0? EMA Analyst Research

New Opportunities Arising:

Are You Ready for Big Data 2.0?

January 22, 2014

Shawn P. Rogers

VP of Research

BI & Data Warehousing

EMA

John Santaferraro

VP of Solutions/Product Marketing

Actian

Today’s Presenters

Slide 2

Shawn P. Rogers – VP of Research Shawn has more than 19 years of hands-on IT experience, with a focus on

Internet-enabled technology. In 2004 he co-founded the BeyeNETWORK

and held the position of Executive VP and Editorial Director. Shawn guided

the company's international growth strategy and helped the BeyeNETWORK

grow to 18 Web sites around the world, making it the largest and most read

community covering the business intelligence, data warehousing,

performance management and data integration space.

John Santaferraro – VP of Solutions & Product Marketing With 20 years of experience in big data analytics and business intelligence,

John has co-founded a data warehouse startup company and held executive

business intelligence marketing positions in top tech companies like

Tandem, Compaq, and HP. In addition, he founded his own consulting

company, Ferraro Consulting, helping technology companies accelerate

business by uniting sales and marketing around a common solution selling

framework.

http://www.google.com/imgres?imgurl=http://nycapitalregion.acp-international.com/images/Citrix_logo.JPG&imgrefurl=http://nycapitalregion.acp-international.com/ACP-NY_Meeting_Archive.htm&h=245&w=607&sz=30&tbnid=2X29M7XfBVbVxM:&tbnh=55&tbnw=136&prev=/images?q=citrix+logo&zoom=1&q=citrix+logo&usg=__RNMRmug1-l0Sgn50b97jlcVzBo4=&sa=X&ei=26N2Td2_CfO10QGmpfHpBg&ved=0CEUQ9QEwBg

Logistics for Today’s Webinar

• An archived version of the event

recording will be available at

www.enterprisemanagement.com

• Log questions in the Q&A panel located

on the lower right corner of your screen

• Questions will be addressed during the

Q&A session of the event

• A PDF of the PowerPoint

presentation will be available

Questions

Event recording

Event presentation

http://www.enterprisemanagement.com/

Shawn P. Rogers

Enterprise Management Associates

Vice President Research – Business Intelligence, Data & Analytics

[email protected]

New Opportunities Arising: Are You Ready for Big Data 2.0?

January 22, 2014

mailto:[email protected]

The Big Data Shift

• Big Data is changing faster than most technologies we seen in the

BI/Analytic space.

• A shift towards sophistication

• Internet of things

• Doing what was once impractical

• Meeting New Enterprise Requirements

• Speed of the Business

• Diverse Data

Slide 5 © 2014 Enterprise Management Associates, Inc.

Hybrid Data Ecosystem

© 2014 Enterprise Management Associates, Inc. Slide 6

Identifying Hybrid Data Ecosystem - Value

• Structure – Data source organization, models versus late binding and

additional uses. Schema Flexibility

• Load – Mix of data types and sources adding value and challenge to

environment, includes speed of data

• Economics – The tipping point of ROI and investment

• Analytics – Complexity of workload. Managing and overcoming obstacles

of traditional systems

• Response – Speed to scale. Speed to answer. Stretching the boundaries

of traditional systems and infrastructure


The Sponsors of Big Data


Big Data Use Case by Year


Technical Drivers


Project Use Cases


Project Challenges


Data Sources for Big Data Projects


Hybrid Data Ecosystem

© 2014 Enterprise Management Associates, Inc. Slide 14

Who’s Using the Ecosystem?


HDE Platforms in Use for Big Data


Ways to Manage the Links between Nodes

• Tools

• ETL

• Data Virtualization

• Data Replication

• Stack Approach

• Vendor lead and focused

• Inside The Engine

• Shared Metadata

• Processing Options

• Schema Binding


Don’t create

“cylinders of excellence”

Summary

• Sophistication – Process Driven Workloads, Real-time

requirements

• Highly integrated Ecosystems – Feature Rich, Agile and flexible.

Orchestrated and smart

• Higher levels of reuse, Skill gap reduction

• Hybrid Solutions to meet Big Data 2.0 requirements


Confidential © 2014 Actian Corporation 19

Actian Analytics Platform Accelerating Big Data 2.0


Data Source & Type Broader Than Data Scientists

Transparency New Possibilities

88 OF BIG DATA

15 TRILLION

$

Universal Access Time To Value

OF COMPANIES

%

%

1



Accelerating Big Data 2.0

- Winning Companies Do Big Data Analytics

Note: Percentage, 10 year CAGR McKinsey Report on Big Data. ** Actian estimate.

Transformational Value Competitive Advantage – Risk Management – New Business Models

8

9

5

5

-1

6

9

14

11

9

24

12

Revenue

Big Data Other Companies

Analytics

Enabled Processes

Cloud + Hadoop Surrounding

Legacy

Grocers

Online Retailers

Big Box

Retailers

Casinos

Credit Cards

Insurance

EBITDA

Predictive

Real-time

Insights &

Events

Unstructured

Zettabytes

5

-1

1

2

-15

3

14

9

12

10

22

11


4 Big Achievements of Big Data 1.0

Enormous, Affordable Scale

Data Discovery & Provisioning

Massive Data Capture

Emerging Data Everywhere

Analytics are now the number one use case for big data!


4 Big Challenges of Big Data 1.0

Extreme Complexity

Enterprise-Class Capabilities

Specialty Skillsets

Lagging Performance

Big data challenges drive new technology requirements!

Confidential © 2014 Actian Corporation 24 Confidential © 2014 Actian Corporation 24

2 1 3

4 5

6

6 Building Blocks of Big Data 2.0

Moving processing to

the data

operationalizes big

data and pushes

toward real-time

Analytic building

blocks provides

accessibility for non-

skilled and less-

skilled workers

Services layers

abstract away the

complexity of

underlying

infrastructure

Combining

non-relational and

relational data

enables a richer set

of analytics

Unified platforms

provide modular

approaches covering

the entire analytic

process

Cooperative

processing delivers

faster time to value &

better price

performance


Winning Companies Use Emerging Data

to Create Transformative Value

25

Conversational data and social media Social media has heightened awareness of the importance of conversations.

Behavioral data and the proliferation of apps New wave of apps creates massive volumes of behavioral data tracking every move

of users and driving hyper-segmentation.

Digital data and the internet of things Everything has gone digital, trillions of time-stamped events are being created

every day.


Winning Companies Use New Analytics

to Create Even More Value

26

Prescribe the next best offer or action Ad optimization, upsell, cross-sell, upgrades, supply chain optimization, logistics, treatment

Prevent something detrimental from happening Churn, risk, fraud, network failure, application failure, power outage, stock outs, attrition

Predict what is likely to happen Affinity, attribution, response rates, cost, revenue, economy, stock price, market

movement


Analyze Act

What We All Want – A Unified Platform

Analyze Act 2 3 Connect 1

Connect anything with

invisible integration

across millions of data

sources on-premise or in

the cloud

Analyze everything with

unconstrained

analytics across entire

ecosystems of data,

users and applications

Automate action and

events with real-time

intelligence for anyone

in the office or on the

move

Connect

Enterprise

Social

Internet of Things

SaaS

DATA Customer

Delight

Competitive Advantage

Risk Management

New Business Models

VALUE


Actian Accelerates Big Data 2.0

Across the Entire Analytics Value Chain

Actian Analytics PlatformTM

Analyze

Act

Connect

Accelerators

Accelerate

Hadoop

Accelerate

Analytics

Accelerate

BI

Enterprise

Applications Data

Warehouse

Social

Internet of Things

SaaS

WWW Machine

Data Mobile

World-Class Risk

Management

Competitive

Advantage

Customer

Delight

Disruptive New

Business Models NoSQL Traditional

Data Value


Accelerate Everything

ACCELERATE

ACTIONS

Low Latency

Complex Models

Mobile Enablement

ACCELERATE

ANALYTICS & BI

Extreme Performance

Extreme Agility

Extreme Scale

ACCELERATE

HADOOP

30-40X Performance

Supercharged ETL

Optimized Analytics


Confidential © 2014 Actian Corporation 30 30

Actian Analytics For Hadoop = 25 Minutes

Log Reader Filter Rows Group Avro Writer k-Means

Coding MapReduce = 4 Weeks

Avro Writer

MapReduce Code

k-Means MapReduce Code

Log Reader Filter Rows Group Avro Writer MapReduce Code MapReduce Code MapReduce Code MapReduce Code

Hadoop Analytics – Single Developer


Actian Analytics Platform :75 seconds

Connect Model Load Build Test Tune Query

Act for

business

value

85 Oracle Market Basket Analysis

Connect Model Load Build

hours

Test Tune Query

Act for

business

value

Time to Analytic Value



Connect Anything

Share computing and data for real-time accuracy On-demand integration, on-demand analytics, cooperative analytic processing

Prepare and enrich the data for increasing value Visual frameworks, libraries of functions, data flows, data provisioning, data quality

Connect to any data or platform for greater precision 200 connectors, invisible connect, basic connect, advanced connect, on premise or cloud


Analyze Everything

Deploy new analytic applications in days Accessibility for less-skilled workers, fast analytic iterations

Rapidly assemble and reuse analytic workflows Visual framework, pre-built workflows, analytic blueprints, analytic solutions

Choose from hundreds of analytic building blocks Connections, transformations, analytics – ready for in-database or on Hadoop


Automate Action

Deliver real-time intelligence to anyone, anywhere Action Apps, visualizations, analytic services, embedded analytics

Increase the precision of automated decisions Emerging data, full data sets, increasingly sophisticated algorithms,

Optimize response to events with lower latency Processing complex models at higher speeds


A Blueprint for High-Performance

Big Data Analytics at Any Scale

Actian DataFlowTM

On

De

ma

nd

Inte

gra

tio

n

Hadoop Actian MatrixTM

Actian DataConnectTM


Enterprise Data

Machine Data

Social Data

Business

Processes

Users

Machines

Applications

Data Warehouse

On

Dem

an

d

An

aly

tics

Actian VectorTM

Hadoop

Actian AnalyticsTM

SaaS Data

Extreme Performance – Extreme Scale – Extreme Agility


Questions and Answers

Actian DataFlowTM

On

De

ma

nd

Inte

gra

tio

n

Hadoop Actian MatrixTM

Actian DataConnectTM


Enterprise Data

Machine Data

Social Data

Business

Processes

Users

Machines

Applications

Data Warehouse

On

Dem

an

d

An

aly

tics

Actian VectorTM

Hadoop

Actian AnalyticsTM

SaaS Data

Extreme Performance – Extreme Scale – Extreme Agility

For more information on Actian, visit: www.actian.com


http://www.actian.com/

Are you ready for Big Data 2.0? EMA Analyst Research

Technology

Transcript of Are you ready for Big Data 2.0? EMA Analyst Research