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Kognitio Cloud
on Amazon Web Services

           Web Seminar
          February 2013
Today’s Web Seminar: Kognitio Cloud
Format & Agenda
 Brief Overview – Kognitio and Kognitio Cloud
 Demonstration - spinning up on AWS in minutes
 Q&A - open discussion

Presenters
            Host
            Michael Hiskey
            Vice President, Marketing & Business Development
            Kognitio is leading the Big Data Analytics market and Michael
            Leads Marketing there…

             Key Note Presenter
             Ian Bird
             As VP Cloud Solutions for Kognitio, Ian is responsible for defining the
             Kognitio Cloud solutions and delivery. He works closely with clients to
             ensure successful Kognitio Cloud implementations
Kognitio
Kognitio is focused on providing the             History of client success
premier high-performance analytical
 platform to power business insight
          around the world




 • Kognitio invented the in-memory analytical
   platform, first taking it to market in 1989
 • Privately held
 • Labs in the UK - HQ in New York, NY
Kognitio Analytical Platform
• A high performance in-memory analytical platform that
  doesn’t require specialized Hardware

• Software
   – quick simple deployment on commodity hardware or Cloud
• Scalable
   – Linear scale-out through best of breed parallelism
• Powerful
   – Unrivalled MPP analytical performance
   – Harnesses all CPU cores made available
• Low TCO
   – Linux, commodity hardware, no special hardware needs
   – SQL relational core familiar to most DBAs
For Analytics, the CPU is King
• The key metric of any analytical platform should be GB/CPU
   – It needs to effectively utilize all available cores
   – Hyper threads are NOT the equivalent of cores
• Interactive/adhoc analytics:
   – THINK data to core ratios ≈ 10GB data per CPU core
• Every cycle is precious – CPU cores need to used efficiently
   – Techniques such as “dynamic machine code generation”

             Careful – performance impact of compression:

                     Makes disk-based databases go faster
                     Makes in-memory databases go slower
Speed & Scale are the Requirements
• Memory & CPU on an individual server = NOWHERE near enough for big data
    – Moore’s Law – The power of a processor doubles every two years
    – Data volumes – Double every year!!
• The only way to keep up is to parallelise or scale-out
                       •   Combine the RAM of many individual servers

   Many                •
                       •
                           many CPU cores spread across
                           many CPUs, housed in
                       •   many individual computers
    – Data is split across all the CPU cores
    – All database operations need to be parallelised with no points of
      serialisation – This is true MPP

                       • Every CPU core in
   Every               • Every server needs to efficiently involved in
                       • Every query
How much RAM?

• Kognitio harnesses the RAM and CPU from large arrays of servers
    – It’s not about how much RAM you can squeeze into a single
      64bit server




• Its standard server RAM
     – Commodity price market – very affordable
     – capacities continually improving
• We’re talking about Terabytes, tens of Terabytes and above of RAM
Kognitio Analytical Platform Architecture
Beyond SQL
• SQL is pervasive data management language
   – Not suited to all types of processing
• Kognitio supports
   – UDFs – Plugins - functional extensions to SQL
   – External scripts and binaries
       • In-line within SQL utilize Perl, Java, R, SAS etc.
       • Full control of degree of parallelism
   – “External tables”
       • Fetch data from other sources
       • Integration with Hadoop to bring data into memory
          – Syntax to define data locality and map reduce access
          – Parallel load API for ‘reduce’ to feed data to RAM fast
       • Integration with HTTP
          – fetch data from cloud storage e.g. Amazon S3
Kognitio Cloud



• We want to make in-memory accessible to all

• Our technology easily deploys onto Cloud
  architectures such as Amazon Web Services

• We have architected our Cloud to be as accessible
  as possible
Kognitio Analytical Platform



• Free software licence on Amazon Marketplace

• As a demo with data pre-loaded

• Load your own data

• One-click to launch
One-click deployment up to 68GB RAM
Multi-node available via CloudFormation



• Kognitio configured as a multi-node deployment

• Available as a trial platform on-demand

• kognitio.kognitiocloud.com

• Few steps to deployment
Register …
Verify …
Create the stack …
Your system will spin up
16 nodes all running
That is enough RAM for …




10,055,512,068 EPOS rows
That is enough RAM for …




RAM GB   |Used GB   |Free GB   |Avail GB   |% Used
812.5    |339.4     |473.1     |473.0      | 41.8%
Which we scan in …




            1.6 seconds
10 billion in 1.6 seconds
Find out your week to week performance




             4.2 seconds
4.2 seconds
People that like salted peanuts also like …




      just over a minute …
Just over a minute
But 16 nodes is a lot of nodes …
• Amazon have announced an new high memory instance
  type perfect for in-memory databases

• 240GB RAM per node

• 2 x Intel Xeon E5-2670 - total of 16 cores

• 2 x 120 GB SSD

• Utilises 10 GbE networking that is at the heart of their
  Cluster Compute environment.
So the same power …




• But with 4 nodes

• With the same simple deployment

• These new scale points make big data in-memory analytics
  in the cloud even more ready to use
Deploy with other technologies on AWS




• Automatic deployment of Kognitio and BI tool on an AWS
  platform

• For self-service BI - see what we have done with NeutrinoBI


              nbi.kognitiocloud.com
Kognitio & NeutrinoBI demo architecture


                     Web app & services tier           Registrations



                 Kognitio                 NeutrinoBI

     Client




                         Application tier


                                                       Root Volume



                                                       Data Volume


                     Analytical platform tier

                            Kognitio DB
                                                       Root Volume



                         Security Group                Data Volume
Get started now – it’s FREE!
                 kognitio.com/free




  Or for more information: kognitio.com/cloud
Thank You – get in touch !

              connect                               contact

                                       Michael Hiskey
     kognitio.com
                                       Vice President,
                                       Marketing & Business Development
     kognitio.tel                      michael.hiskey@kognitio.com

                                       Ian Bird
     kognitio.com/blog
                                       VP, Kognitio Cloud
                                       Ian.bird@kognitio.com
     twitter.com/kognitio
                                       NA: +1 855 KOGNITIO
     linkedin.com/companies/kognitio   EMEA: +44 1344 300 770

     tinyurl.com/kognitio

     youtube.com/kognitio

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Kognitio cloud webinar feb 2013

  • 1. Kognitio Cloud on Amazon Web Services Web Seminar February 2013
  • 2. Today’s Web Seminar: Kognitio Cloud Format & Agenda Brief Overview – Kognitio and Kognitio Cloud Demonstration - spinning up on AWS in minutes Q&A - open discussion Presenters Host Michael Hiskey Vice President, Marketing & Business Development Kognitio is leading the Big Data Analytics market and Michael Leads Marketing there… Key Note Presenter Ian Bird As VP Cloud Solutions for Kognitio, Ian is responsible for defining the Kognitio Cloud solutions and delivery. He works closely with clients to ensure successful Kognitio Cloud implementations
  • 3. Kognitio Kognitio is focused on providing the History of client success premier high-performance analytical platform to power business insight around the world • Kognitio invented the in-memory analytical platform, first taking it to market in 1989 • Privately held • Labs in the UK - HQ in New York, NY
  • 4. Kognitio Analytical Platform • A high performance in-memory analytical platform that doesn’t require specialized Hardware • Software – quick simple deployment on commodity hardware or Cloud • Scalable – Linear scale-out through best of breed parallelism • Powerful – Unrivalled MPP analytical performance – Harnesses all CPU cores made available • Low TCO – Linux, commodity hardware, no special hardware needs – SQL relational core familiar to most DBAs
  • 5. For Analytics, the CPU is King • The key metric of any analytical platform should be GB/CPU – It needs to effectively utilize all available cores – Hyper threads are NOT the equivalent of cores • Interactive/adhoc analytics: – THINK data to core ratios ≈ 10GB data per CPU core • Every cycle is precious – CPU cores need to used efficiently – Techniques such as “dynamic machine code generation” Careful – performance impact of compression: Makes disk-based databases go faster Makes in-memory databases go slower
  • 6. Speed & Scale are the Requirements • Memory & CPU on an individual server = NOWHERE near enough for big data – Moore’s Law – The power of a processor doubles every two years – Data volumes – Double every year!! • The only way to keep up is to parallelise or scale-out • Combine the RAM of many individual servers Many • • many CPU cores spread across many CPUs, housed in • many individual computers – Data is split across all the CPU cores – All database operations need to be parallelised with no points of serialisation – This is true MPP • Every CPU core in Every • Every server needs to efficiently involved in • Every query
  • 7. How much RAM? • Kognitio harnesses the RAM and CPU from large arrays of servers – It’s not about how much RAM you can squeeze into a single 64bit server • Its standard server RAM – Commodity price market – very affordable – capacities continually improving • We’re talking about Terabytes, tens of Terabytes and above of RAM
  • 9. Beyond SQL • SQL is pervasive data management language – Not suited to all types of processing • Kognitio supports – UDFs – Plugins - functional extensions to SQL – External scripts and binaries • In-line within SQL utilize Perl, Java, R, SAS etc. • Full control of degree of parallelism – “External tables” • Fetch data from other sources • Integration with Hadoop to bring data into memory – Syntax to define data locality and map reduce access – Parallel load API for ‘reduce’ to feed data to RAM fast • Integration with HTTP – fetch data from cloud storage e.g. Amazon S3
  • 10. Kognitio Cloud • We want to make in-memory accessible to all • Our technology easily deploys onto Cloud architectures such as Amazon Web Services • We have architected our Cloud to be as accessible as possible
  • 11. Kognitio Analytical Platform • Free software licence on Amazon Marketplace • As a demo with data pre-loaded • Load your own data • One-click to launch
  • 12. One-click deployment up to 68GB RAM
  • 13. Multi-node available via CloudFormation • Kognitio configured as a multi-node deployment • Available as a trial platform on-demand • kognitio.kognitiocloud.com • Few steps to deployment
  • 17. Your system will spin up
  • 18. 16 nodes all running
  • 19. That is enough RAM for … 10,055,512,068 EPOS rows
  • 20. That is enough RAM for … RAM GB |Used GB |Free GB |Avail GB |% Used 812.5 |339.4 |473.1 |473.0 | 41.8%
  • 21. Which we scan in … 1.6 seconds
  • 22. 10 billion in 1.6 seconds
  • 23. Find out your week to week performance 4.2 seconds
  • 25. People that like salted peanuts also like … just over a minute …
  • 26. Just over a minute
  • 27. But 16 nodes is a lot of nodes … • Amazon have announced an new high memory instance type perfect for in-memory databases • 240GB RAM per node • 2 x Intel Xeon E5-2670 - total of 16 cores • 2 x 120 GB SSD • Utilises 10 GbE networking that is at the heart of their Cluster Compute environment.
  • 28. So the same power … • But with 4 nodes • With the same simple deployment • These new scale points make big data in-memory analytics in the cloud even more ready to use
  • 29. Deploy with other technologies on AWS • Automatic deployment of Kognitio and BI tool on an AWS platform • For self-service BI - see what we have done with NeutrinoBI nbi.kognitiocloud.com
  • 30. Kognitio & NeutrinoBI demo architecture Web app & services tier Registrations Kognitio NeutrinoBI Client Application tier Root Volume Data Volume Analytical platform tier Kognitio DB Root Volume Security Group Data Volume
  • 31. Get started now – it’s FREE! kognitio.com/free Or for more information: kognitio.com/cloud
  • 32. Thank You – get in touch ! connect contact Michael Hiskey kognitio.com Vice President, Marketing & Business Development kognitio.tel michael.hiskey@kognitio.com Ian Bird kognitio.com/blog VP, Kognitio Cloud Ian.bird@kognitio.com twitter.com/kognitio NA: +1 855 KOGNITIO linkedin.com/companies/kognitio EMEA: +44 1344 300 770 tinyurl.com/kognitio youtube.com/kognitio