User:Ybhanu/sandbox

Big Data Definition: The big data is nothing but the data which exceeds the processing capacity. Alternate ways must be choose to process this Big Data. This began to become more popular in 2012. This became key basis for competition. It became more popular because of its less cost while compared to many other approaches in terms of volume, velocity and variability of the massive data this was defined by the Gartner. This defined by the different authors in different way related to the data. This can be simply defined as the amount of the data which created and collected and then correlated is simply a Big Data. The three terms used by the Gartner the volume, velocity and variability are used to mention the different aspects of the Big Data. Volume: The main functionality of the big data is to maintain and process the large amount of the data. The volume matters everything. In many companies there will be large pile so the data and from that some of data is useful and the some of it is worthless. So over here the big data process the data by distributing it in the approach of querying. Apache Hadoop is considered as the platform fro processing the problems which occur across the servers. One of the best examples of the Hadoop user is the Facebook. MySQL database store the core data of it and then transfers it to the Hadoop. Velocity & variety: Velocity is nothing but the rate of the data flows into an organization. If we consider the variety and the velocity here is data is streamed into, out of the many sources- transactions, remote devices and the website. The majority of the Big data solutions are provided in three forms now: they are as software, an appliance and cloud-based. The decision in choosing the one totally depends on the type of the data likely to be private and depends on the requirements of the project. Many organizations choose the cloud based solution. The name itself indicates that he Big Data which means the data will be too big load and transport. Sometimes the locality can be an issue even if the data is not too big. Big data is considered as the messy because the effort should be kept in cleaning up the data it means that the worth less data can be converted to the useful one by spending time on it to analyze. Coming to the cultural aspects of the big data combines the math and programming instructions. The big data problems should be approached in skilled way to overcome the problems in it. The big data analytics project may have the some aspect which is uncomfortable. In order to process or mine the data it should be broken. Skills are very important to manage the big data. Before choosing the big data one should know the problem to be solved. For example if you want change the business logics the big data will guide the implementation. This also benefits the enterprising data and allows reaching the goals. References: [2012], The big data era was retrieved from, http://search.proquest.com.ezproxy.bellevue.edu/docview/927750688/13FCC79EC52651FB0FA/7?accountid=28125 [2012], Edd Dumbill, The Big Data was retrieved from, http://strata.oreilly.com/2012/01/what-is-big-data.html#practice