Five Key Requirements for Enabling Agile Analytics
By Yann Guernion
In today's digital economy, companies are faced with a fast data challenge as
well as a Big Data one. As a result they are under pressure to adapt their
analytics processes and data flows at pace to move beyond traditional data
Big Data projects are either too big or too complex to handle the traditional
way. That's why most projects by companies at the start of their Big Data
initiative have no process at all. Waterfall approaches are notably
inefficient as you probably won't have access to proper staging environment
and only limited time and scale for qualification.
Big Data and DevOps
Big Data implicitly promotes DevOps because there is no ability to separate
Operations from Development when you ultimately discover the relevance of
your algorithms at the production stage. It is in... (more)
What Is the Difference Between a Data Lake and a Data Warehouse?
By Dave Kellermanns
The data warehouse and data lake are two different types of data storage
repository. The data warehouse integrates data from different sources and
suits business reporting. The data lake stores raw structured and
unstructured data in whatever form the data source provides. It does not
require prior knowledge of the analyses you think you want to perform.
What is a Data Lake?
A data lake is a storage repository that holds a vast amount of raw data in
its native format until it is needed. While a hie... (more)
Three Reasons Why DevOps Transformation Produces Happiness
By Charlie Coffey
"It is not necessary to change. Survival is not mandatory." - W.
How often do we see this quote used in DevOps blogs without a hint of irony?
It's as if we need to instantly complete generations of evolution to stave
off extinction, like trying to grow an extra lung overnight.
DevOps or Die!!!
So this is it - the dreaded DevOps transformation looms large. The department
will be ‘shaken up', practices will be ‘turned on their head', and staff
will be ‘taken out of their comfort zone'. It's... (more)
What Do Bimodal IT, Automating Your Complex IT Stack and a Supercar Have in
By Dave Kellermanns
In the Bimodal model we find two areas of IT - the traditional kind where the
main concern is keeping the lights on and the IT focusing on agility and
speed, where everything needs to be faster.
Today companies are investing in new technologies and processes to emulate
their most agile competitors. Gone are the days of waterfall development and
releases only every few months. Today's IT and the business it powers demands
performance akin to a supercar - everything needs to be f... (more)
How Creative Data Automation and Orchestration Give Stunning End Results
By Larry Salomon
Data automation and orchestration have given us free two-day shipping via
Amazon Prime; next day shipping via the major postal companies; delivery via
Uber or drone; and so on. These are all concepts that we are either
intimately familiar with as consumers of these services or at least are
cognizant of them because of news reports, TV commercials or YouTube videos.
Convenience and digital transformation
The value of convenience cannot be overstated. However, our need for instant
gratification ... (more)