Data Center 7.0
Keith Thuerk 110000F2GW firstname.lastname@example.org Tags:  hadoop sets data processing big no-sql real-time analytics ibm 1,091 Visits
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!
Keith Thuerk 110000F2GW email@example.com Tags:  data enterprise value sets warehouse creation bi roi 1,069 Visits
Most sizable, if not all enterprises have already invested in a Data Warehouse (of some order and magnitude). Not only is it a business best practice, but it helps to uncover new business opportunities if used properly. I wonder how many enterprises that have invested in a Data Warehouse are getting ROI from that Data Warehouse? I ask since, the Business Intelligence (BI) market seems to be growing faster than any other segment in the IT market.
Which leads me to the conclusion that either there hasn’t
been a whole lot of value derived from their Data Warehouse investment to this
point? Or that, I draw another conclusion
that the Data Warehouse tools are adapting to new data sets and being able to
analyze new data sets? Which is it in your enterprise?
How is your enterprise using the data retrieved out of the Data Warehouse? How has it impacted your enterprises bottom line? In this Age of Analytics you need every leg up on your competition. Which is why, I don’t anticipate many responses as most want to keep this info under wraps. Does your Data Warehouse provide a headlight view or a tail light view of your customers?
How is your enterprise going to leverage BI to lead to new business changes? Can’t you envision a time when BI is used to help make tactical and strategic decisions?
Is your enterprise getting the most out of your Data Warehouse? Isn’t it time to discuss your BI business with IBM?