#hadoop (3)

There is so much focus around big data but the truth be known that the vast majority of data used in big data projects reside in databases such as DB2.  Transactional systems form the back bone of data warehouses from which business analytics solutions analyze information.  But who has the best solutions, what requirements should a customer look for in a solution and vendor?

Watch the highlights from "Transforming big data into insights" : An independent consultant’s perspective" June 24, 2014, 11:00am EDT by clicking here  http://bit.ly/QlXOlG

Guest speaker, analyst and founder of Intelligent Business Strategies -  Mike Ferguson - Writes in his paper :
"The characteristics of Big Data, create a unique set of requirements that need to be met to analyse it. These include:
*Support for the following big data analytical workloads over and above that supported in a traditional data warehouse
*Complex analysis of structured data
*Analysis of data in motion
*Exploratory analysis of un-modeled multi-structured data
*Graph analytics
*Accelerating ETL and analytical processing of un-modeled data
to enrich data in a data warehouse or analytical appliance
*The long term storage and selective re-processing of archived
data (including data warehouse data)"

Join us for this webcast as Mike reveals the requirement to turn big data into real, tangible insight. and receive his full white paper for free.

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Just register for the Jun 24 2014 webcast "Turning big data into trusted insightshttp://bit.ly/QlXOlG
#bigdata #analytics #insight #intelligence #DB2 #DB2zOS #hadoop #CICS

Join us for a complimentary webcast led by guest speaker Mike Ferguson, an independent consultant, analyst and founder of Intelligent Business Strategies. Wondering what to look for in a vendor when it comes to implementing big data and business analytics solutions? Mike reviews the business and technical requirements for clients embarking on these initiatives as well as some of the key IBM solutions for System z and their potential to help clients meet those requirements.

Register and receive Mike's new white paper on this topic

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A couple on months ago I decided it was time to update my router so I started searching on the web.  I saw the latest wireless specs were 802.11 ac. So I found a few routers started comparing their capabilities against my list of needs (coverage and range, reliability, management, speed, cloud enabled, media server enabled, auto failover to second ISP... and so on.  After I narrowed it down to 5 or 6 models, I started looking at reviews on Amazon, CNET, Trustedreviews, etc and weeded out the weaker ones.   I contacted friends on social media sites who were tech-geeks like me to hear their experiences, physically looked at one in a store  - yes... I actually stepped outside the somewhat safe virtual world for a while!. Once I had decided the "chosen one" met all my requirements / needs and was satisfied with the reviews I started looking for the best price on-line and fastest delivery. By now you're asking "Where is he going with all this?"

It occurred to me that I was using many sources of information :
structured information comparing specs in tabular form
free form text reviews containing emotion and sentiment
1-on-1 conversations with friends
cheapest prices, fastest deliveries....

Bingo ... big data - and analytcis !

So do big data and analytics processes mimic how our brains work ?  We take multiple different threads, many perspectives, analyze all these thought processes (somewhat in parallel).  You can see where I am going with this....  We start with a set of objectives, gather a few data points with some uncertainty about the best outcome at this early stage and then add more perspectives and data points, join the dots, keep adding more data points, connect more dots until we feel we are as close to making the best decision that meets our needs.

So to me - we have always been doing big data and analytics mentally. But now we're trying to emulate it in computer models.

Deep.... very deep.

So when you are trying to decide what is the best big data and business analytics and solution and trying to identify the best vendor,  here's a link that might be helpful. http://bit.ly/QlXOlG
Register here "Transforming big data into insights" : An independent consultant’s perspective" June 24, 2014, 11:00am EDT

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