WHAT’S HOT the analyst
#dcsarticle
http://dcsuk.info/n/hpny
Big data storage technologies “Rip and Replace” or “Complementary”?
By Tony Lock, Programme Director, Freeform Dynamics.
A
ll too frequently the IT industry gets caught up in a whirlwind of marketing stories indicating that the next revolution bringing answers to peace, happiness and world hunger has begun. Freeform Dynamics recently published a report (
http://freeformdynamics.com/fullarticle.asp?aid=1432) looking at this year’s ‘must have’, namely big data and how this will influence various storage technologies as things move forwards.
One of the biggest challenges with big data hype is actually defining just what the expression means. Indeed after ‘cloud’, big data has become one of the most hyped terms in use in the IT world, but the reality is that it applies to two quite different things: dealing with the sheer weight of data growth; and being able to understand the information hidden within different data sources to guide business decisions.
When we look at managing the data explosion, we can boil it down to three core elements that are commonly referred to as the ‘Three Vs’ - namely Volume, Velocity and Variety. The ‘3Vs’ makes for a nice marketing phrase, but it needs some explanation. More importantly it doesn’t take account of the fact that much of the value in the data being generated by IT systems today has a low ‘signal to noise’ ratio, making it difficult to locate the nuggets of valuable information amongst the huge amount of data. A more complete discussion can be found here (
http://www.freeformdynamics.com/fullarticle. asp?aid=1419)
The real value of big data comes from the rapid analysis of data sources to provide information the organisation can exploit to generate new value or make better operational choices. This value is enhanced when this can be achieved in close to real time. Whilst our survey results highlight that the crown jewels of organisational data are still
12
www.dcsuk.info I February 2012
held in structured sources, many organisations recognise that they are holding rapidly growing volumes of data in other forms, much of which is not exploited to anything like its fullest extent. This is the challenge that big data is attempting to address.
In essence big data seeks to dig valuable information from the large amounts of data organisations are now generating every day. The
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52