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

• 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) 2

WANdisco Technology Traditional Approach
3

"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

“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 5

• 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 6

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 7

• 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 8

• 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 9

NameNode NameNode NameNode HDFS Data
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• 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 11

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 12

• 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 13

HDFS Clients HDFS Cluster DataNodes
Active Standby NameNode NameNode Shared Storage 14

Client Client Client Active Active
Active NameNode NameNode … NameNode Proposal Handler Proposal Handler Proposal Handler Dispatch Dispatch Dispatch WANdisco PAXOS 15

Questions and
Answers

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