http://www.youtube.com/watch?v=XHp6Q5RMMR8
In this segment of Cloud Corner, former CEO of Qoncert, and new GreenPages-LogicsOne employee, Lou Rossi answers questions around how unified communications fits into the new IT paradigm moving forward.
We’ll be hosting a free webinar on 8/22: How to Securely Enable BYOD with VMware’s Next Gen EUC Platform. Register Now!
Madan Sheina, Lead Analyst, Information Management, Tony Baer, Principal Analyst, Enterprise Solutions
Intel recently shared its long-term strategic vision of how corporate data centers will evolve. Big Data processing plays a central role, driven by a future of escalating data volumes from mobile, cloud, and “Internet of Things” sources. Intel is starting to pull together a portfolio of offerings as a foundational infrastructure for analyzing Big Data.
Not surprisingly, this is a hardware-centric strategy, allowing Intel to sell more server engines to effectively run Big Data software applications. Intel believes it has the right chips (x86) to manage and analyze this data. But the chipmaker is taking a proactive role thinking further up the stack and fishing for Hadoop-related software opportunities.
Intel laid out a detailed blueprint of key infrastructure for building the data centers …
When talking about Big Data, most people talk about numbers: speed of processing and how many terabytes and petabytes the platform can handle. But deriving deep insights with the potential to change business growth trajectories relies not just on quantities, processing power and speed, but also three key ilities: portability, usability and quality of the data.
Portability, usability, and quality converge to define how well the processing power of the Big Data platform can be harnessed to deliver consistent, high quality, dependable and predictable enterprise-grade insights.
Portability: Ability to transport data and insights in and out of the system
Usability: Ability to use the system to hypothesize, collaborate, analyze, and ultimately to derive insights from data
Quality: Ability to produce highly reliable and trustworthy insights from the system
Madan Sheina, Lead Analyst, Information Management
Oracle recently unveiled a faster version of its Exalytics in-memory analytics database. The company claims the X3-4 version delivers up to 25× performance improvements over its predecessor, thanks largely to pure and simple hardware upgrades – i.e. more memory.
Ovum does not doubt the sheer speed of Exalytics, particularly for data analysis where ASAP is simply not quick enough. We see the most immediate applicability for such an ultra-responsive analytics infrastructure in driving more agile business planning and budgeting processes, but there are also a raft of other emerging use cases. Certainly benefits are to be gained from the raw power of Exalytics, but companies must consider carefully their strategies for realizing the benefits in business-critical applications.
Nowadays, data analysis is a deft mix of data scale and processing speed: whether it is about …
By Andy Flint, FICO
Analytics depends on data — the more, the merrier. If we’re trying to model, say, the behaviour of customers responding to marketing offers or clicking through a website, we can build a far stronger model with 10,000 samples than with 100.
You would think, then, that the rise of Big Data and its seemingly inexhaustible supply of data would be every analyst’s dream. But Big Data poses its own challenges for modelling. Much of Big Data isn’t what we have historically thought of as “data” at all. In fact, 80% of Big Data is raw, unstructured information, such as text, and doesn’t neatly fit into the columns and rows that feed most modelling programs.
Here’s how data scientists seeking to harness Big Data for predictive modelling have addressed the challenges presented by a mass of messy data.
Some businesses today are nervous about moving to cloud-delivered technology because it means allowing their system data to reside somewhere other than their own data center. For some, this can be a tough concept to grasp, especially for those who have spent 25 years or more hosting their company’s systems and data. But cloud computing providers could not exist without implementing strong security controls for their customers’ information. The reality is that leading cloud solutions include security features well beyond what most manufacturing companies can afford to implement on their own.
In this article readers will learn about some realities of the security practices at leading cloud providers and the questions that should be asked by those considering use of a cloud solution.
Mobile and cloud are two of the biggest changes in the enterprise today. Amidst a disruptive shift in technology and IT economics arrive the difficult decision of how you can design, build, deploy, and manage your mobile websites. Decisions such as “do I build native” or “how can I build once and deploy everywhere” are common questions that bring mobile and cloud together in many of the answers.
In his session at the 13th International Cloud Expo, Steve Fox, Director of the Windows Azure Center of Excellence at Microsoft, will show how you can design and build mobile websites on the cloud – emphasizing some of the choices along the way. Specific themes will be responsive Web App design, tooling choices, developing, deploying and scaling your mobile website on Windows Azure, and more.
In this demo at 12th International Cloud Expo, held June 10–13, 2013, at the Javits Center in New York City, Sam Bisbee, Director of Technical Business Development at Cloudant, walks through how Cloudant deploys their clusters.
Cloud Expo 2013 Silicon Valley, November 4–7, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the leading Cloud industry players in the world.
The growth and success of Cloud Computing will be on display at the upcoming Cloud Expo conference and exhibition in Santa Clara, California, November 4–7, 2013.
