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
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
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
