Traditional Companies planning to go Social and to leverage
the amount of data generated internally and externally - are they really Ready
to be able to manage such data ?
Managing entire data layer for a Large Insurer , thought of
how the Infrastructure needs to be designed for better management When My_Customer
embarks on social strategy.
Gear up their
Infrastructure for such needs Link
This means terabytes’ of storage, if not more. Additional
storage means more cost to already huge company’s spend in Storage , which we have been showing some innovative
ideas like compression etc to save and also have Stringent process which almost
takes three months to get a chunk of storage – more Storage admins – more
storage failures Note: they do have
sizable Hardware failures every other day and more and more storage is going to
just aggravate the issue if not taken care
Challenge
: Data needs to be stored in huge quantities and also available (with
performance) at a Low Cost (Mutually exclusive unless taken proper measures)
Answer :- Raid Arrays
- not exactly , they could add to problem of Cost being replicated 5 times.
Larger chunk for efficient usage of power would mean lot of time to replace
full parity - erasure codes
Reed-Solomon erasure codes were originally used as forward
error correction (FEC) codes for sending data over an unreliable channel, like
data transmissions from deep space probes. Using erasure codes, a piece of data
can be broken up into multiple chunks, each of them useless on their own, and
then dispersed to different disk drives or servers. At any time, the data can
be fully reassembled with a fraction of the chunks, even if multiple chunks
have been lost due to drive failures.
Clever safe - dispersal coding uses erasure codes with location info.
- Width- The number of pieces you generate.
- Threshold - minimum number needed to put it back together.
- Width – Threshold determines its reliability. The highest amount of reliability you can get with RAID is dual parity. You can lose two drives. That's it. With our solution, you can lose up to six
Reliability has some thoughts, How about Performance ?
o
Partition….
· Database Search Patters
Parallel to technology how the Business strategy should be for the Nexus of Force (
Social, Mobile, Cloud, AI and BigData)
o
How they should approach Social presence
o
What BIG Data initiatives they should embark? BIG
Data in 2014 is on trough wave of disillusionment
How they could do IBO
o
How they should leverage Cloud (Private and
Public) not to recreate available resources outside ?
§
Just done a pricing for a Private cloud unit
based pricing
o
How to leverage Machine learning help the same
in general and Insurance in Specific
§
List of use cases ?
§
Important as data increases Artificial Intelligence
is built in conjunction else resources needs will be needed heavily
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