What is Big Data

Description: Big Data is the next big thing in computing. This video explains Big Data characteristics, technologies and opportunities.

Source: http://www.explainingcomputers.com

 
Due to the issues raised by its volume, velocity and variety, Big Data requires new technology solutions. Currently leading the field is an open-source project from Apache called Hadoop. This is developing a software library for reliable, scalable, distributed computing systems capable of handling the Big Data deluge, and provides the first viable platform for Big Data analytics. Hadoop is already used by most Big Data pioneers. For example, LinkedIn currently uses Hadoop to generate over 100 billion personalized recommendations every week.

What Hadoop does is to distribute the storage and processing of large data sets across groups or “clusters” of server computers using a simple programming model. The number of servers in a cluster can also be scaled easily as requirements dictate, from maybe 50 machines to perhaps 2000 or more. Whereas traditional large-scale computing solutions rely on expensive server hardware with a high fault tolerance, Hadoop detects and compensates for hardware failures or other system problems at the application level. This allows a high level of service continuity to be delivered from clusters of individual server computers, each of which may be prone to failure. Processing vast quantities of data across large, lower-cost distributed computing infrastructures therefore becomes a viable proposition.     READ REST OF STORY 

Questions for discussion:

  1.  What is Big Data and why is it important?
  2. What potential applications do you see for Big Data and in what industries will this add the greatest value?
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54 thoughts on “What is Big Data

  1. Luc Nguyen

    Big data generates value from storing and processing through large quantities of digital information that cannot be analyzed with traditional computing techniques. Big data is characterized by the “three V’s”: volume, velocity, and variety. Volume is the greatest challenge because of the storing, processing and linking information. Volume can give a business a better understanding of the consumer. This will help company increase productivity and increase margins in their sectors. The velocity is another problem because if the increasing demand for wanting to stream data, to watch online videos and so much more. Velocity is defined as the speed at which the information (data) flows through data systems. Consumers are always moving and the quicker they can transfer and receive data, the better off the consumer is and this enables companies to process the consumer’s needs quicker as well. Variety is the last issue because there is such a diverse set of data that can be stored, and processed. With the variety of data collected it is important for a company to have a reliable sorting system. By sorting the data effectively will lead to better efficiencies and productivities. The potential I see in Big Data is that the Big Data can record data sets on what people search on Google as a consumer. By analyzing the data set of what consumers are looking for, corporations can look at which industries or products which people are currently interested in. By using this data, corporations can enter a market that they have yet to explore and increase their margins based on what consumers are looking for. Industries such as Amazon can add great value to their company through big data because they would be able to look at the products that are highly searched. They can also see what individual consumers are looking for when shopping on Amazon, where the collection of data on what they often search or buy, can be used in creating a personalized recommendation list of products that will enhance the buyers experience.

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