21 Wed Jan 2015
Posted in Big Data, Consider this, Information Supply Frameowrk, Polemic
Tags
admen, advertising, Big Data, dave trott, DW 3.0, social media
Hold this thought: Big Data is the future of online business and interactive advertising is its profit.
Much is being made of Big Data and its role in social media and online interactive advertising. The advertising industry itself has a “big crush” on Big Data, and it fuels the elevated revenues, profits and share prices of a number of online companies.
21 Wed Jan 2015
Posted in Big Data, Consider this, Data Warehouse, Data Warehousing
Tags
Big Data, business intelligence, Core Statistics, DW 3.0, enterprise data warehousing, information management, information supply framework, statistics
Big Data, together with Cloud computing and the Internet of Things, are topics that are very much to the fore in contemporary trends in Information Management. Continue reading
19 Mon Jan 2015
Posted in Analytics, Big Data, Consider this, statistics
Hold this thought: If Data Warehousing was Tesco then Big Data would be the “try something different”.
Since the publication of the article Aligning Big Data, which basically laid out a draft view of DW 3.0 Information Supply Framework and placed Big Data within a larger framework, I have been asked on a number of occasions recently to go into a little more detail with regards to the Analytics Data Store (ADS) component. This is an initial response to those requests. Continue reading
17 Sat Jan 2015
13 Tue Jan 2015
Posted in Big Data, Consider this
Tags
Remastered for 2026
I aim to bring some semblance of simplicity to the Big Data debate. I also strive for coherence and integrity. Hence, I am sharing an evolving model for pervasive information architecture and management.
This is an overview of the realignment and placement of Big Data within a more generalised architectural framework, one that integrates data warehousing (DW 2.0), business intelligence, and statistical analysis.
The model is now referred to as the DW 3.0 Information Supply Framework, or DW 3.0 for short.
10 Sat Jan 2015
Posted in Big Data
Martyn Richard Jones
Remastered for 2026
I came across a blog post titled “The Best Big Data Quotes Of All Time”.
At first, I ignored it. I really like the author, but I’m generally not a fan of this type of ‘content’; of top 10 lists or cute collections or amazing pussy cat videos on YouTube, although I respect other people’s tastes.
09 Fri Jan 2015
Posted in Big Data, Big Data 7s, Consider this, Data Warehouse
This is the first in a series of collections of talking points on the processing of extensive data sets by non-relational or pseudo-relational means, speculative data analytics with these large data sets which is typically non-operational data and social media data obtained from internet sources, and how usable outcomes, if any, are derived, can be integrated into strategic, tactical and operational decision support. Continue reading
01 Thu Jan 2015
Posted in Big Data
Tags
This is the first in a series of short commentaries on the burgeoning, babbling and bludgeoning world of Big Data applications, real or fictitious, tangible or unsubstantiated, original or plagiarised.
The idea is to pick up on viral truths, half-truths and downright fibs, and then take a look under the bonnet. Frequently by simply questioning assertions, assumptions and motivations, and leaving it up to the reader to take it further, if they so wish.
So, here is the first piece entitled Big Data, Mom and Apple Pie. Continue reading
30 Tue Dec 2014
Posted in Big Data
I Martyn Richard Jones
I have looked into the immediate twelve-month future of Big Data, and the immediate future looked back and said, “Be more goat”.
27 Sat Dec 2014
Posted in Big Data, Consider this
Tags
art, Big Data, News, responsibilities, roles, social media, sports, technology
Martyn Richard Jones
This article is in English.
Plus ça change, plus c’est la même chose.
Jean-Baptiste Alphonse Karr
I have been involved in an in-depth study of the changing face of IT. This includes data architecture and data management. I spent all afternoon, as a matter of fact, examining the challenges that the profession faces.
In particular, I have focused on emerging and evolving roles and responsibilities. I have examined their significance and synergies. Additionally, I considered their collaborative potential in a future marked by high-speed, volatile, and unpredictable conditions.
Continue reading
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