The Emerging Business Technology Outlook for 2015
The savvy CEOs that approved significant investments in business technology
during 2014 are reaping the rewards of their first-to-market leadership
advantage. Meanwhile, executives at the fast-follower companies are no doubt
assessing how they plan to catch-up with the early-adopters of cloud services
in 2015.
This rapidly evolving IT transformation scenario is pervasive. It's happening
in every corner of the globe. So, what's the outlook for worldwide cloud
service adoption and how will the key trends impact cloud computing
infrastructure investment? To get the answers to those questions, we'll look
at the findings from the latest Cisco Global Cloud Index (GCI).
Cisco forecasts continued strong growth of cloud traffic, cloud workloads and
cloud storage -- with private cloud significantly larger than public cloud.
Ove... (more)
What do you get when you combine Big Data technologies….like Pig and
Hive? A flying pig?
No, you get a “Logical Data Warehouse”.
My general prediction is that Cloudera and Hortonworks are both aggressively
moving to fulfilling a vision which looks a lot like Gartner’s “Logical
Data Warehouse”….namely, “the next-generation data warehouse that
improves agility, enables innovation and responds more efficiently to
changing business requirements.”
In 2012, Infochimps (now CSC) leveraged its early use of stream processing,
NoSQLs, and Hadoop to create a design pattern which combined r... (more)
Fraud is definitely top of mind for all banks. Steve Rosenbush at the Wall
Street Journal recently wrote about Visa’s new Big Data analytic engine
which has changed the way the company combats fraud. Visa estimates that its
new Big Data fraud platform has identified $2 billion in potential annual
incremental fraud savings. With Big Data, their new analytic engine can study
as many as 500 aspects of a transaction at once. That’s a sharp improvement
from the company’s previous analytic engine, which could study only 40
aspects at once. And instead of using just one analytic model, ... (more)
Data Lake and Data Refinery – Gartner Controversy!
Much discussion has been going on the new phrase called Data Lake. Gartner
wrote a report on the ‘Data Lake’ fallacy, saying to be careful about
‘data lake’ or ‘data swamp’. Then Andrew Oliver wrote in the
InfoWorld these beginning words, “For $200, Gartner tells you ‘data
lakes’ are bad and advises you to try real hard, plan far in advance, and
get governance correct”. Wow, what an insight!
During my days at IBM and Oracle, Gartner wanted to get time on my calendar
to talk about database futures. Then afterwards, I realized that... (more)
The State of Real-time Analytics in Financial Services
My company, GridGain, recently announced the results of a survey that asked
close to 200 IT decision-makers - including project managers, network
managers, software and business analysts, and other technology professionals
working in the financial services industry - about their companies'
attitudes, practices and challenges around data technology, with a focus on
the state of the industry's adoption of real time analytics technologies.
Here's what we found:
In the report - A Cautious Revolution: Financial Services' Prudent E... (more)
If you know anything about Hadoop architecture - the task seemed daunting to
us and it proved to be one of the most challenging engineering feat that we
have accomplished so far.
After almost 24 months of development, tens of thousands of lines of Java,
Scala and C++ code, multiple design iterations, several releases and dozens
of benchmarks later we have the product that can deliver real-time
performance to Hadoop with only minimal integration and no ETL required.
Backed-up by customer deployments that prove our performance claims and
validate our architecture.
Here's how we d... (more)
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