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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.
Slide 3
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• An archived version of the event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
Shawn P. Rogers
Enterprise Management Associates
Vice President Research – Business Intelligence, Data & Analytics
New Opportunities Arising: Are You Ready for Big Data 2.0?
January 22, 2014
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
Slide 7 © 2014 Enterprise Management Associates, Inc.
The Sponsors of Big Data
Slide 8 © 2014 Enterprise Management Associates, Inc.
Big Data Use Case by Year
Slide 9 © 2014 Enterprise Management Associates, Inc.
Technical Drivers
Slide 10 © 2014 Enterprise Management Associates, Inc.
Project Use Cases
Slide 11 © 2014 Enterprise Management Associates, Inc.
Project Challenges
Slide 12 © 2014 Enterprise Management Associates, Inc.
Data Sources for Big Data Projects
Slide 13 © 2014 Enterprise Management Associates, Inc.
Hybrid Data Ecosystem
© 2014 Enterprise Management Associates, Inc. Slide 14
Who’s Using the Ecosystem?
Slide 15 © 2014 Enterprise Management Associates, Inc.
HDE Platforms in Use for Big Data
Slide 16 © 2014 Enterprise Management Associates, Inc.
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
Slide 17 © 2014 Enterprise Management Associates, Inc.
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
Slide 18 © 2014 Enterprise Management Associates, Inc.
Confidential © 2014 Actian Corporation 19
Actian Analytics Platform Accelerating Big Data 2.0
Confidential © 2014 Actian Corporation 20
Data Source & Type Broader Than Data Scientists
Transparency New Possibilities
88 OF BIG DATA
15 TRILLION
$
Universal Access Time To Value
OF COMPANIES
%
%
1
Confidential © 2014 Actian Corporation 20
Confidential © 2014 Actian Corporation 21
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
Confidential © 2014 Actian Corporation 22
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!
Confidential © 2014 Actian Corporation 23
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
Confidential © 2014 Actian Corporation 25
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.
Confidential © 2014 Actian Corporation 26
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
Confidential © 2014 Actian Corporation 27
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
Confidential © 2014 Actian Corporation 28
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
Confidential © 2014 Actian Corporation 29
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 29
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
Confidential © 2014 Actian Corporation 31
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
Confidential © 2014 Actian Corporation 31
Confidential © 2014 Actian Corporation 32
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
Confidential © 2014 Actian Corporation 33
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
Confidential © 2014 Actian Corporation 34
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
Confidential © 2014 Actian Corporation 35
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
Actian Analytics PlatformTM
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
Confidential © 2014 Actian Corporation 36
Questions and Answers
Actian DataFlowTM
On
De
ma
nd
Inte
gra
tio
n
Hadoop Actian MatrixTM
Actian DataConnectTM
Actian Analytics PlatformTM
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
Slide 37 © 2014 Enterprise Management Associates, Inc.