Data Center 7.0
Keith Thuerk 110000F2GW firstname.lastname@example.org Tags:  hadoop sets data processing big no-sql real-time analytics ibm 990 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:  computing provisioning cloud it automation 1,017 Visits
Everyone knows that Cloud building (regardless of type Private, Public, Hybrid) has many facets to be successful. Let’s jump into one of the tools / utils of Clouds today, IT Automation.
You know that automation requires a full understanding of IT assets (new and old).
So, are enterprises large and small doing a good job of managing IT assets today? Most would admit they are not doing a good job of managing assets (on-site or off).
The asset management concept sounds easy enough, but think about how assets have changed in just the last 2 years (tablets, Mobile doc readers, etc…) these devices have to be counted too as they contribute to the creation and use of corporate assets.
With the proliferation of assets of all types and the ever expanding network boundaries the device count keep ticking up.
Where to start?
Service catalog seems to be the most pressing issue deployment today.
What products do you use?
Have you found any good open source tools for asset management?
IT Automation was once banished due to restricted budgets, now it’s a necessity as it’s a fundamental IT building block (agility).
What is the state of IT automation today?
How can IT Automation help your environment? When front ended by a service catalog your end users can hit the service portal and request a new system or service. Your provisioning tools then get work setting up the requested environment.
How far can you take IT Automation in your environment; the possibilities are limited only by time, technology and of course money.
Are you tying asset management into your BI infrastructure if no, why?
Are you tying asset management into your Sales Force automation if no, why?
Are you tying asset management into your consolidated I/O environments?
You should be spending time to see how IT automation can reduce your IT spend.