Picking a Winner for the Best Cloud

Stop me if you've heard this one: five major cloud service providers walk into a bar. They make a bet that the one with the best enterprise cloud will get free drinks for life. The bartender tells them he already knows who will win. They are astonished as none of them has yet had a chance to boast about their server specs, cost per gigabyte, network quality, security features, uptime record, support teams, number of data centers, or any other common claim or metric. How can he possibly have predicted the outcome?

Topics: cloud Data Management Big Data Analytics

Second half predictions for big data & analytics

As summertime rolls on, we can enjoy a little sun, a little rest, and a big opportunity to reflect on the key trends to watch in the second half of 2016. Here are a few of my predictions of what comes next:

Topics: IoT Data Management IaaS Big Data Analytics machine learning

Predicting the unthinkable

The UK has voted to leave the European Union. The Republican party has voted Donald Trump as their presidential nominee. Few predicted these things would happen. Why not?

We at ESG do a lot of surveys and interviews in our research. Sometimes this is a broad view of market sentiment, sometimes it's a very specific question that needs answering. Technology vendors and buyers alike rely on our work to guide their most strategic decisions. We pride ourselves on careful survey design, controlled selection of qualified respondents, and thoughtful analysis of the findings. Our methodology isn't just SurveyMonkey and $5 Starbucks gift cards going out to 1,000 Shakespearean monkeys with 1,000 keyboards. Yet there are a couple of inherent limitations in asking humans their opinions.

Topics: Data Management Big Data Analytics

Information Security: The Most Important IT Initiative in 2015

At an elementary level, IT is all about using technology to enable the business. This really hasn’t changed, even back in the early days when IT was called data processing or management information systems. 

In today’s IT world, business enablement is driving a few meta-trends. Cheap hardware and open source software are driving big data analytics to the mainstream. Organizations are abandoning the costs and constraints of on-site IT systems as they move applications and systems to the cloud. Mobile devices are becoming the primary compute platform for users, automating business processes and changing application development.

Topics: Cloud Computing Mobile computing Big Data Analytics cloud security mobile security

Enterprise Hadoop with VCE and Isilon

What happens when you combine two field-proven, widely-adopted technologies from tech power houses? You get a super flexible, scalable Hadoop platform to address your big data analytic needs. And the best part is that it really doesn’t matter where you currently fall on the Hadoop adoption spectrum. Deploying a traditional Hadoop distribution? Expanding one that’s already deployed?  Starting a brand new Hadoop implementation to merge with your existing IT infrastructure? VCE and Isilon have come together to make your life easier.

Topics: EMC Big Data NAS Hadoop VMware Isilon VCE ESG Lab Big Data Analytics Scale-out

Big Data Strategy

‘It was easy to cover up ignorance by the mystical word “intuition.”’ Foundation’s Edge, 1982, Issac Asimov

Business-driven Outburst of Demand for Analytics AKA Big Data
More than ever, businesses and non-profits crave meaningful, timely, and actionable information, preferably on a continuous basis if possible. One victorious analytics project is not the objective; one good project begets the desire for more projects plus a deeper desire for increasingly real-time analytics.

Topics: Big Data Data Management & Analytics Enterprise Software Data Management Data Analytics Big Data Analytics

Tibco and LogLogic: An Interesting and Revealing Acquisition

Over the past few years, a number of independent Security Information and Event Management (SIEM) vendors were acquired by bigger players. In late 2010, HP scooped up market leader ArcSight for $1.5 billion. Last year, McAfee purchased Nitro Security while IBM acquired Q1 Labs.

Topics: IBM Cloud Computing Information and Risk Management HP McAfee Enterprise Software Security and Privacy SIEM ArcSight RSA Security log management Big Data Analytics Tibco LogLogic Q1 Labs

Socializing Big Data Application Development

Between EMC's announcement of the Pivotal Labs acquisition and the incredible presentations so far at GigaOm's Structure Big Data conference in NYC, there is a strong continuing theme with Big Data this week (one that I am a strong advocate of): it is all about the apps and the people who use them.

Topics: EMC Big Data Data Management & Analytics Hadoop Big Data Analytics Greenplum

The Intersection of Security Intelligence and Big Data Analytics

It's official, the security industry has jumped on the "big data" bandwagon with both feet. How do I know? Well, I'm participating in a panel discussion on this topic at RSA and I believe there are 2 other sessions on the topic. I guess anyone headed to San Francisco later this month should be prepared to get a big dose of big data.

Topics: IBM Data Management & Analytics Hadoop Information and Risk Management HP McAfee Security and Privacy SIEM LogRhythm ArcSight security intelligence NetFlow log management Splunk Big Data Analytics Q1 Labs RedLambda

Talking Big Data at NE VMUG

Yesterday, VMUG held its annual New England Winter Warmer conference at the New England Patriots' home turf, Gillette Stadium. While we (Mark Bowker, myself, and the ESG rock star event team) were chatting about Virtualization Computing Infrastructures in the Putnam Club, the football team was on the field getting ready for its upcoming playoff game. Looking out onto the field and the stadium, I was compelled to use Gillette Stadium and its 68,756 seating capacity as my platform for our Big Data Demystified breakout session. While the venue was not large, the topic was all Big.

Topics: Big Data Data Management & Analytics Hadoop Data Analytics Virtualization Big Data Analytics virtualization computing infrastructures