At this point in 2011 we have all heard the term Big Data, but what is Big Data really?
There are still a lot of fragmented ideas for Big Data, best I can tell here is a nice definition.
Big Data can be defined simply as multi-terabyte datasets, typically ten or more. But Big Data also involves big complexity, namely many diverse data sources (both internal and external), data types (structured, unstructured, semi-structured), and indexing schemes (relational, distributed file systems, no-SQL). Plus, Big Data requires big processing to achieve useful analytic results.
Summary: Data + Analytics
What are the characteristics of Big Data?
· Very large data sets
· Distributed Aggregation
· Loosely Structured
· Often incomplete
Solve data issues with collaboration of Algorithms to process all the data not just subsets of data.
What are the Big Data components?
· Data at Rest
· Fast Data
Some food for thought in your enterprise:
Does Big Data mean more irrelevant data or does it require better BI tools?
Will Big Data arrive in waves?
If so, how will you accommodate the sudden spikes in requirements?
Are you feeling out of touch with the coming onslaught of Big Data even if you work in IT? No need to worry, this is just the next phase in IT expanding the IT role in an enterprise. You might explore adding some skills or adding deeper skills in / around analytics.
All the solution components are not yet in place to monetize Big Data results, will you be the next startup to exploit these results and help change IT?
In my mind Big Data will change industries and the world! Watch World here comes the next IT Wave!
Data Center 7.0
with Tags: real-time X
Keith Thuerk 110000F2GW email@example.com Tags:  hadoop sets data processing no-sql big real-time ibm analytics 990 Visits