The Back to Big Data Basics series is an attempt, however small, to steer the discussion surrounding Big Data away from analytics and back to the fundamentals. Forcing the industry blindly into advancing analytics too quickly with traditional storage technologies
The Back to Big Data Basics series is an attempt, however small, to steer the discussion surrounding Big Data away from analytics and back to fundamentals. Forcing the industry blindly into advancing analytics too quickly with traditional storage technologies and methodologies
The Back to Big Data Basics series is an attempt, however small, to steer the discussion surrounding Big Data away from analytics and back to fundamentals. Forcing the industry blindly into advancing analytics too quickly with traditional storage technologies and methodologies
The debate surrounding Big Data is now 100% focused on analytics – on the implications of the analytics themselves as well as the dangers of their inaccuracy. Organizations are essentially being enabled to manufacture information by tweaking analytics to their
As a young man I read the writings of Issac Asimov and later William Gibson and Vernor Vinge, jaw agape in awe at the future these men imagined for us. It was Gibson and his Sprawl trilogy that I gravitated
In Part one of this blog, I spoke to my desire for analytics and the scary statistics of data growth - where if even half the projected results are correct and we continue to stick to traditional methodologies, data protection and disaster recovery
For reasons obvious to anyone working in the industry, I’ve been falling behind on posting. That’s all going to change – Down to the Block is back and I’ll be posting regularly on important issues facing Big Data, Security and
BYOD won’t work unless we seamlessly enable the separation of data from the virtual machine that’s used to present the corporate “work-space”. In fact, unless we further segment the BYOD virtual machine’s localized data into corporate and personal data pools,
Data isn’t created or accessed equally. Am I storing and protecting it with the same methodologies and technologies? If so, how inefficient is it and how much is it costing me?
There are many challenges when it comes to developing, supporting, and storing an organization’s data and applications. And for most businesses these applications and data serve as a lifeline that keeps the company running. One of the challenges data administrators
Data is neither created nor accessed equally. Why then should data be stored and protected using the same technologies?
-A Visionary focused on the data block The pursuit of eliminating the concept of data backup without compromising restorability and online and always accessibility is my current focus.…