Big Data Movement:

Local Access to Global Information

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Tervela Webcast

Hosted by Barry Thompson, Founder & CTO of Tervela

We will find answers to…

• Why is a strategy for moving “big data” important?

• What are the current challenges, solutions and tradeoffs?

• Why is data fabric appropriate for this kind of problem?

• How does a typical customer benefit from the fabric?

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About the presenter...

• Barry Thompson

• Founder and CTO of Tervela

• Visionary with 20 years of

experience

• Background in transformative

technologies (robotics, imaging

& traditional enterprise)

• Technology leadership for AIG,

NatWest and UBS

• X-Prize board of trusties

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Big Data Dynamics

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•Distributed apps

•Local performance

•Central monitoring

• DB/NoSQL/Stream

• Public/Private cloud

• Virtualization

• Trends & signals

• Responsiveness

• High Performance

• Terabytes daily

• Broad analysis

• Many producers

• Many consumers

Big Data Real time

Global Scale

Flexible Delivery

Big Data

Movement

getting big data to

globally distributed

apps when it is

needed

Real-Time Big Data: Here and Now

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Industries Requirements

Traders and Financial Services

Real-time market intelligence & transactional data

Governments and Intelligence Agencies

Signal acquisition and processing

Telcos and Service Providers

Global services (& data streams) synchronization

Logistics and Retail Real time decision-making and BI analytics

Payment Processing Secured, compliant and risk averse data exchange

Big Data Challenges

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Replication Isn’t Real-Time

Remote Access Isn’t Fast Enough

Disaster Recovery Too Expensive

Data movement across globally distributed apps fails to meet expectations for cost-efficiency, speed and reliability.

Moving Mountains with a Data Fabric

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Data Fabric: High Performance

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Ultra Low Latency

Very High Throughput

Intelligent Message Routing

Efficient Topic Sorting

Data Fabric: Extreme Reliability

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No-loss Fault Tolerance

Integrated Caching

Hot-hot Data Replication

Data Fabric: Security, Compliance

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Role-based Access Control

Alerts and Audit Trails

Secured Data Transport Protocols

Tervela for Big Data Movement

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Tervela Data Fabric

• Higher performance (10-100x)

• Less development (50%)

• More reliable (zero production outages)

• Faster to deliver new apps (weeks, not months)

What’s New in Tervela v5.0

• New Features to Engage Developers

• First high-performance data transport solution that’s either hardware or software

• Faster time-to-market for new apps

• Free to download and use for development & test

• Features• Virtual appliances (100% interoperable)

• Last-known value, Last-known message

• Programmatic Administration

• Integrated Fabric Monitor

• SSD Tervela Persistence Engine (TPE-510A)

• Developer Enhancements

• Usability Enhancements

TMX: Message Switch

Message transport through the fabric

TPE: Persistence Engine

Embedded storage within the fabric

TPM: Provisioning & Management

Central management of the fabric

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Client API

C, C++, C#, Java, JMS

• Background- High-volume electronic trading- Trading apps co-located at global exchanges

• Challenges- Massive data distribution wasn’t scalable- Lacked unified view of transactional data for

business risk management

• Tervela Solution- Primary data fabric for real-time global

trading- High-speed, no-loss global information

sharing built into simple unified architecture

Background- Connect consumers and merchants- Scan e-Commerce sites to find deals and

post items for site visitors

Challenges- Batch mode processing inadequate- Real-time pricing and quick catalog

update & replication

Tervela Solution- Data fabric connects processing

components- Real-time updates to distributed catalog

& built-in handling of data replication

Financial Trading e-Commerce

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Use Cases From Tervela Customers

Learn More About Tervela

Download the Data Fabric as a virtual appliance:

http://tervela.com/download

Read some Tervela case studies:

http://tervela.com/customers

Explore how Tervela helps your initiatives:

http://tervela.com/contact

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Thank you!

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