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Jim KaskadeSerial Entrepreneur, CEO and General Manager at SIOS Technology |
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| Article: Why Won't Enterprises Embrace Public Cloud Immediately? |
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April 24 2009
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Many IT leaders don't trust online vendors with the company data, including everything from customer information to legal documents to intellectual property and trade secrets. A Discussion of security typically leads to regulatory issues that come into play when enterprise applications, and specifically enterprise application data, are moved into cloud-based services. Here's an overview of many of the concerns facing IT professionals when moving to a Public Cloud. |
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| Jim Kaskade Serial Entrepreneur, Global Enterprise Executive |
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| February 09 2012 |
| Is Big Data destined for only the top 3,000 companies worldwide? What about medium or small companies who are equally as data-driven? Is there a place for Big Data in SMB markets? When I talk to SMB companies about their use of public cloud services, it’s a no-brainer. Pay as you go, lower costs upfront, quick [...] ... read more >> |
| January 11 2012 |
| Traditional Analytics Approach The front-end of the above analytics architecture remains relatively unchanged for casual users, who continue to use reports and dashboards running against dependent data marts (either physical or virtual) fed by a data warehouse. This environment typically meets much of the information needs of the organization, which can be defined up-front through requirements-gathering exercises. Predefined reports [ ... read more >> |
| January 10 2012 |
| Enhancing the multichannel consumer experience should be the focus of all retailers (especially brick and mortar retailers). Enhancing the multichannel experience for consumers will equate to a powerful driver of sales, customer satisfaction, and loyalty. Retailers can use big data to integrate promotions and pricing data from shoppers seamlessly, whether those consumers are online, in-store, [...] ... read more >> |
| January 09 2012 |
| Shouldn’t data structures be declared at query time, not at data load time? Or some combination? A number of people believe that the enormous data sets they we are now trying to analyze in this new Big Data time need to be loaded in a queryable state BEFORE the structure and content of the data sets are completely [...] ... read more >> |
| January 04 2012 |
| I don’t know if you read about this before the holidays, but I got to thinking about Amazon’s offer to pay shoppers $5 to use it’s mobile application to compare its prices to those in a store (this was a one-day promotion on Dec. 10 that provided 5% or up to $5 off as [...] ... read more >> |
| December 03 2011 |
| MapReduce vs. RDBMS People think that MR is this new transformative technology…..new? No. Transformative? Yes. Although it might seem that MapReduce (MR) and parallel DBMSs are different, it is actually possible to write almost any parallel-processing task as either a set of database queries or a set of MR jobs. When you look at the [...] ... read more >> |
| November 28 2011 |
| This Big Data use-case involves a Global Fortune 100. The company is interested in rethinking how they manage the many disparate billing systems and data marts which IT supports within its multiple divisions. The data from the systems is provided in multiple formats including: flat files, feeds, and SQL extracts. Question: So what’s the issue? [...] ... read more >> |
| November 27 2011 |
| Cloud-based PaaS is pretty high on the hype curve. I’ve been of the opinion that we’ll begin to see vertical PaaS offerings as the enterprise begins to understand the potential impact of application development acceleration. So, to continue to expand on that idea, how about a Big Data PaaS? As many will agree, Big Data [...] ... read more >> |
| November 26 2011 |
| For those familiar with the Fortune 1000 enterprise data warehouse reference architecture, you’ll appreciate how it’s evolving to include Big Data. We’re seeing a few things repeat themselves, but now with semi-structured data: IT needs to address the needs of business users There are many new data sources Those who can centralize ALL enterprise [...] ... read more >> |
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