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Big Data

Big data describes data sets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data, and seldom to a particular size of data set.

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By, Vadim Tkachenko. In this article we’ll look at ClickHouse on its one year anniversary.
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Dublin Tech Summit
One event, two days, a great line-up of speakers, and 48% female presence. Still have no idea what I’m talking about?
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Choosing an appropriate provider for your company’s email security can be difficult as email security is a key element in the overall security of a business. A company’s email is an open door for malicious hackers who can potentially drive your business into the ground with one rogue email. There are a few options with regards to a solution but it all depends on picking the right fit for your business. This blog post is dedicated to the options businesses face when choosing their email security.


Appliance or Software Solutions - On Premise


Generally, the most popular choice for a company are appliance or software solutions. These appliances are great for focusing on certain aspects of email security such as data privacy and spam and virus protection. This option is also easy to install and not very expensive. However, these software solutions require a lot of  "hands on" updates which do not come with the benefits of realtime threat intelligence or the big data analysis that can be performed across the entire network of a cloud provider and can be quite slow to update. These appliances operate by themselves and require occasional attention from the beholder of the software.


Hosted Email Security - the OEM way


Another option businesses have are hosted email security services where the provider is simply hosting an appliance or application to take some management out of the customer’s hands. This option would be considered appealing as the customer …
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Big data transfers via information superhighways require special attention and protection. Learn more about the IT-regulations of the country where your server is located. Analyze cloud providers and their encryption systems for safe data transit. Set in-house rules for preventing data loss.
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A list of useful business intelligence software.
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Author Comment

by:Oscar Waterworth
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I have a habit of writing in Google Docs. I will make sure not to copy from it again.

Thanks for the feedback!
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By Mark Wills

The first thought that comes to mind about "Big Data" is that there is a lot of it. And while that is true, "Big Data" is more than that. It tries to address the complexity of being able to bring together both structured and unstructured data from an increasing variety of sources so it can be analysed in a concise and coherent way with a high degree of confidence.

Not so long ago, Big Data was certainly considered to be in the realm of "for the very big corporations", but that is starting to change. Part of the reason for the change is the technology associated with all the hype and the latest of buzz words becoming more available to the not so big. There are now viable choices of solutions that won't break the bank.

Because the "Big Data industry" is still in its infancy (relatively speaking), there is a small luxury of time before it becomes the expected "norm". That time can be well used to make sure you can learn all there is to know and decide if you will actually benefit from it.

One can see the anticipation of great things to follow in marketing departments the world over, talking up "big data" as if they have a clear idea about what it is, how to get it, and how it can be used. Importantly, you need to know what it might mean for your business as a competitive advantage or how disadvantaged you will quickly become if you are not currently thinking about it.

Taking a small step back in time, for years, when we needed to analyse our …
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Expert Comment

by:Kevwe Ogomigo
Comment Utility
Interesting read ... Big Data sounds even more interesting ...

We would be considering this more at www.nu-systems.com
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Author Comment

by:Mark Wills
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There can be big rewards for consultants and advisors who are able to succeed advising their customers as to the *best* way forward...
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Big Data

Big data describes data sets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data, and seldom to a particular size of data set.

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