Category: Big Data

Posts that contain a reference to Big Data

  • Consider this: Social Media Big Data killed Ad-land

    Consider this: Social Media Big Data killed Ad-land

    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.

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  • Consider this: Big Data in Context

    Consider this: Big Data in Context

    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. (more…)

  • Consider  this: Big Data and the Analytics Data Store

    Consider this: Big Data and the Analytics Data Store

    To begin at the beginning

    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. (more…)

  • Consider this: Aligning Big Data

    Consider this: Aligning Big Data

    Martyn Richard Jones

    Remastered for 2026

    Intro

    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.

    A recap

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  • Big Data? Dopey Quotes?

    Martyn Richard Jones
    Remastered for 2026
    Imagen1

    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.

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  • Big Data 7s:  Talking Points #1

    Big Data 7s: Talking Points #1

    Martyn Richard JonesJPR-Williams_181887k

    To begin at the beginning

    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. (more…)

  • Big Data in Perspective: Apple Pie

    Big Data in Perspective: Apple Pie

    Martyn Richard Jones

    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. (more…)

  • Big Data Predictions for 2015 羊

    Big Data Predictions for 2015 羊

    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”.

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  • 7 New Big Data Roles for 2015

    7 New Big Data Roles for 2015

    Martyn Richard Jones

    This article is in English.

    Plus ça change, plus c’est la même chose.

    Jean-Baptiste Alphonse Karr

    To Begin at the Beginning

    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.

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