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BIG DATA OVERVIEW • What is Big Data? • What Comes Under Big Data? • Benefits of Big Data • Big Data Technologies • Operational Big Data • Analytical Big Data • Big Data Challenges www.kellytechno.com
By reason of the creation of modern technology , devices , and the communication process just like social networks sites , the volume of data generated by human beings is improving in a short time every year . BIG DATA OVERVIEW www.kellytechno.com
Big Data is an amount of huge datasets that will never be processed working with standard measuring strategies . It is never a particular technology as well as software , in other words it will involve multiple areas of online business and so the area of technology . What is Big Data? www.kellytechno.com
Big data that includes the data made by multiple devices and then programs . Given below are a part of the area which often come under the umbrella of Big Data . • Black Box Data • Social Media Data • Stock Exchange Data • Power Grid Data • Transport Data • Search Engine Data What Comes Under Big Data? www.kellytechno.com
So Big Data including very large volume , high velocity , and the extensible different data . The data inside of it will likely be of three types . Structured data: Relational data. Semi Structured data: XML data. Unstructured data: Word, PDF, Text, Media Logs www.kellytechno.com
By using the information stored in the community site for example Facebook , the promoting sites are researching the best solution for their advertising campaigns , promotions , along with other promotional channels. • By using the information in the social networking website like specifications as well as product perception of their buyers , product vendors and then retail companies are scheduling their production . • Implementing the data with reference to the before health details of victims , hospitals are giving more efficient and speedy treatment . Benefits of Big Data: www.kellytechno.com
Big data features are necessary in offering make more appropriate analysis , that may bring on better legitimate decision-making resulting in more significant operational efficiencies , cost reductions , and the avoided issues for the organization . • To generate the power of big data , you are going to require an infrastructure that is able to control and process very large volumes of structured and unstructured data in real-time that can give protection to data privacy combined with security . Big Data Technologies: www.kellytechno.com
Usually there are some modern technology available in the market from many different vendors including Amazon , IBM , Microsoft , etc . , to control big data . While searching for the technologies that tackle big data , we observe the following two categories of technologies : • Operational Big Data • Analytical Big Data www.kellytechno.com
Operational Big Data: • Such as platforms as MongoDB which provides operational features for real-time , involved workloads whereby info is particularly received as well as saved . • NoSQL Big Data strategies are created to take some advantage of modern cloud computing architectures that currently have developed during the last decade to support large computations to be manage wisely and the efficiently . This indicates that operational big data workloads rather easy to control , lower priced , and then more quickly to implement . • A few NoSQL platforms can give you information into patterns and trends on the basis of real-time data with limited programming and with no need of data scientists and the various other infrastructure . www.kellytechno.com
Analytical Big Data: • These possess systems just like Massively Parallel Processing ( MPP ) database systems as well as MapReduce that comes with analytical advantages for retrospective and difficult analysis that would touch more or most of the data . • MapReduce produces the latest technique of determining data that can be complementary to the capabilities supplied by SQL , and a system based upon MapReduce which happen to be scaled up from single servers to many hundreds of high and low end machines . www.kellytechno.com
The best challenges connected with big data are provided below : • Capturing data • Curation • Storage • Searching • Sharing • Transfer • Analysis • Presentation Big Data Challenges: www.kellytechno.com