3:27 AM |

Big Data

What is Big Data??? In information technology, big data consists of data sets that grow so large and complex that they become awkward to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analytics, and visualizing. This trend continues because of the benefits of working with larger and larger data sets allowing analysts to "spot business trends, prevent diseases, combat crime." Though a moving target, current limits are on the order of petabytes, exabytes and zettabytes of data.Scientists regularly encounter this problem in meteorology, genomics, connectomics, complex physics simulations, biological and environmental research,Internet search, finance and business informatics. Data sets also grow in size because they are increasingly being gathered by ubiquitous information-sensing mobile devices, aerial sensory technologies (remote sensing), software logs, cameras, microphones, Radio-frequency identification readers, and wireless sensor networks.The world’s technological per capita capacity to store information has roughly doubled every 40 months since the 1980s (about every 3 years)and every day 2.5 quintillion bytes of data are created.

Big data is a term applied to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Big data sizes are a constantly moving target currently ranging from a few dozen terabytes to many petabytes of data in a single data set.
MIKE2.0, an open approach to Information Management,in terms of useful permutations, complexity, and difficulty to delete individual records.
In a 2001 research report and related conference presentations, then META Group (now Gartner) analyst, Doug Laney, defined data growth challenges (and opportunities) as being three-dimensional, i.e. increasing volume (amount of data), velocity (speed of data in/out), and variety (range of data types, sources). Gartner continues to use this model for describing big data.
 
The impact of “big data” has increased the demand of information management specialists in that Oracle, IBM, Microsoft, and SAP have spent more than $15 billion on software firms only specializing in data management and analytics. This industry on its own is worth more than $100 billion and growing at almost 10% a year which is roughly twice as fast as the software business as a whole.

 Big data (also spelled Big Data) is a general term used to describe the voluminous amount of unstructured and semi-structured data a company creates -- data that would take too much time and cost too much money to load into a relational database for analysis. Although Big data doesn't refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data.Big Data was hit the industry.





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Posted by eilegna20
3:33 AM |


Consumerization of IT


Consumerization is an increasingly accepted term used to describe the growing tendency for new information technology to emerge first in the consumer market and then spread into business and government organizations. The emergence of consumer markets as the primary driver of information technology innovation is seen as a major IT industry shift, as large business and government organizations dominated the early decades of computer usage and development.



The primary impact of consumerization is that it is forcing businesses, especially large enterprises, to rethink the way they procure and manage IT equipment and services. Historically, central IT organizations controlled the great majority of IT usage within their firms, choosing or at least approving of the systems and services that employees used. Consumerization enables alternative approaches. Today, employees and departments are becoming increasing self-sufficient in meeting their IT needs. Products have become easier to use, and cloud-based, software-as-a-service offerings are addressing an ever-widening range of business needs in areas such as video-conferencing, digital imaging, business collaboration, salesforce support, systems back-up, and other areas.

In addition to the mass market changes above, consumer markets are now changing large scale computing as well. The giant data centers that have been and are being built by firms such as Google, Apple, Amazon and others are far larger and generally much more efficient than the data centers used by most large enterprises. For example, Google is said to support over 300 million Gmail accounts, while executing more than 1 billion searches per day.


Now a days, Consumers have more choice, more options, and more flexibility in the technology that they use every day—from powerful mobile devices and computers to the social networks that they use to connect with each other. As that technology spills over into their professional lives, the line between the personal and the professional is blurring. We want to use the same technology at work as they use at home. And although consumer technology offers some great potential benefits for the business, it also represents added risk in terms of security, privacy, and compliance. For IT, it’s about striking a balance between user expectations and enterprise requirements.




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Posted by eilegna20
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