View the webinar recording here... http://youtu.be/O1pgMMyoJg0 Who: WANdisco CEO, David Richards, and core creaters of Apache Hadoop, Dr. Konstantin Shvachko and Jagane Sundare. What: WANdisco recently acquired AltoStor, a pioneering firm with deep expertise in the multi-billion dollar Big Data market. New to the WANdisco team are the Hadoop core creaters, Dr. Konstantin Shvachko and Jagane Sundare. They will cover the the acquisition and reveal how WANdisco's active-active replication technology will change the game of Big Data for the enterprise in 2013. Hadoop, a proven open source Big Data technolgoy, is the backbone of Yahoo, Facebook, Netflix, Amazon, Ebay and many of the world's largest databases. When: Tuesday, December 11th at 10am PST (1pm EST). Why: In this 30-minute webinar you’ll learn: The staggering, cross-industry growth of Hadoop in the enterprise How Hadoop's limitations, including HDFS's single-point of failure, are impacting the productivity of the enterprise How WANdisco's active-active replication technology will alleviate these issues by adding high-availability to Hadoop, taking a fundamentally different approach to Big Data View the webinar Q&A on the WANdisco blog here...http://blogs.wandisco.com/2012/12/14/answers-to-questions-from-the-webinar-of-dec-11-2012/

1. WANdisco and Hadoop:
The Future of Big Data
December 11, 2012

2. • WANdisco: Wide Area Network Distributed Computing
• Patented technology for active-active replication
• Leader in tools for software engineers (Subversion)
• No venture capital, angel investors or private equity funding
• Listed on the London Stock Exchange on June 1, 2012 in a highly
successful IPO (LSE:WAND)
• Offices in San Ramon (CA), Boston (MA), Sheffield (UK), Belfast
(UK), Chengdu (China), Tokyo (Japan)
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3. WANdisco Technology Traditional Approach
3

4. "unlike conventional solutions, the multi-site
computing system architecture does not rely on a central
transaction coordinator that is known to be a single-point-of-
failure."
4

5. “Big Data is the new
definitive source of
competitive advantage
across all industries. For
those organizations that
understand and embrace
the new reality of Big
Data, the possibilities for
new innovation, improved
agility, and increased
profitability are nearly
endless”
- Wikibon
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6. • Fixing specific problems:
• Easy to use appliance
• High availability
• Disaster recovery / zero time
to recovery (over a WAN)
• Highly differentiated
• Nobody else can do
active-active replication
over a WAN
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7. Dr. Konstantin Shvachko
• Co-founder of AltorStor, acquired by WANdisco
• Was part of the team that invented Hadoop at Yahoo in 2006 and went on to
become the Principal Big Data architect at eBay
• Credited with the creation and maintenance of the Hadoop Distributed File
System (HDFS), which is at the very core of both Hadoop and any replication
solution for Hadoop
Jagane Sundar
• Co-founder of AltorStor, acquired by WANdisco
• Was responsible for conceiving, architecting and managing the development
of AltoScale’s Hadoop As A Service platform before selling it to VertiCloud
• Visionary behind AltoStor’s Cloud and Big Data Storage Appliance
• Former Director of Hadoop Engineering at Yahoo! and managed the
development of Hadoop 0.20.204 with Disk Fail In Place
Complementary IP and skills
• Ideal fit with our patented active-active replication technology
• Altostor founders faced problems (scaling, performance and high availability)
we are planning to solve
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8. • 24-by-7 Reliability, Availability, Scalability and Performance
• Planned as well as unplanned outages are extremely expensive
• Steep learning curve and dearth of trained specialists
• Many enterprises forced to rely on public cloud options such as Amazon
• Expensive hourly billing models
• Vendor lock-in with difficult migration paths
• Periodic availability and performance problems
• Data security concerns with cloud-based deployments
• Moving from batch model to real-time transaction model
• Our product suite will be designed to meet all of these challenges
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9. • Plug-and-play pre-packaged software eliminates the need for
specialized Hadoop skills
• Wizard based deployment, monitoring and management
• Supports migration from Amazon to private in-house clouds
• S3-enabled filesystem unique to WANdisco’s AltoStor appliance
• Allows searches for any kind of data (images, videos, etc.) based
on descriptive characteristics
• HBase support for real-time transaction processing
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10. NameNode NameNode
NameNode
HDFS Data
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11. • Works over a LAN within a single data
center
NameNode NameNode
• Works over a WAN across data centers
thousands of miles apart
• Supports simultaneous read and write
access on every server
HDFS Data
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12. Public Cloud S3 Apps for
the private cloud – e.g.
JungleDisk, SmugMug,
Senduit, Zmanda, etc. Traditional Hadoop M/R
HBase Apps Apps
Step 1
WANdisco AltoStor
Appliance
Hadoop Mgmt Server S3 API HBase API HDFS API JobTracker
• Deploy Hadoop(s)
• Manage Hadoop AltoStor Hadoop
• Monitor Hadoop
Step 3
Enterprise Physical (e.g. rack of Dell servers) or
Active Virtual Infrastructure (e.g. VMware VI)
Directory
Step 2
for WANdisco AltoStor to use in building Hadoop
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13. • WANdisco AltoStor appliance has the capability to deploy on virtualized
infrastructure such as VMware
• Advantages:
• Extra level of reliability
• Elasticity – live cluster shrinking and expansion
• Extremely high hardware resource utilization
• Resource isolation
• Ease of management – preconfigured VMs
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14. HDFS Clients
HDFS Cluster
DataNodes
Active
Standby
NameNode
NameNode
Shared Storage
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15. Client Client Client
Active Active Active
NameNode NameNode … NameNode
Proposal Handler
Proposal Handler
Proposal Handler
Dispatch
Dispatch
Dispatch
WANdisco PAXOS
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16. Questions and
Answers

17. Thank You
http://blogs.wandisco.com/autho
r/jagane-sundar
Visit us www.wandisc.com