Statistical Analysis The Big Data Analytics - 1399 Words

The big data analytics deals with a large amount of data to work with and also the processing techniques to handle and manage large number of records with many attributes. The combination of big data and computing power with statistical analysis allows the designers to explore new behavioral data throughout the day at various websites. It represents a database that can’t be processed and managed by current data mining techniques due to large size and complexity of data. Big data analytic includes the representation of data in a suitable form and make use of data mining to extract useful information from these large dataset or stream of data. As stated above the big data analytics has recently emerged as a very popular research and practical-oriented framework that implements i) data mining, ii) predictive analysis forecasting, iii) text mining, iv) virtualization, v) optimization, vi) data security, vii) virtualization tools for processing very large data sets. In the impleme ntation of big data applications, new data mining techniques and virtualization are required to be implemented due to the volume, variability, forms and velocity of the data to be processed. A set of machine learning techniques based on statistical analysis and neural networking technology for big data is still evolving but it shows a great potential for solving a big data business problems. Further, a new concept of in-memory database for enhancing the speed for analytic processing is further helpingShow MoreRelatedAnaistics Of Big Data Analytics941 Words   |  4 PagesBig data is defined as high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making (Gartner IT Glossary, n.d.). IBM added a term Veracity as the fourth V to describe the unreliability characteristic of data in certain areas (Gandomi Haider, 2015). Big data comes from various sources such as text, soc ial media websites, images, audios, videos, e-commerce transactions, mobile devicesRead MorePredictive Analytics, Data And Data1194 Words   |  5 PagesData is being produced at a huge rate and 90% of the data which exists today were produced in the last two years. Thus, it is difficult to manage big data which are extremely large, structured/ unstructured data sets analyzed to find trends, associations, reports, etc. The biggest challenge today is to find the quickest and the most inexpensive tool to analyze the big data which consists of emails, videos, pdf, audio files, and tweets. Predicting future with being able to access and store real timeRead MoreManaging Business And Research Data Is A Big Trend Right Now1566 Words   |  7 PagesIBM Watson Analytics Shreya Prabhu, San Jose State University, San Jose CA Abstract Managing business and research data is a big trend right now. In the dearth of skilled data analysts and data scientists as to the ever increasing need of managing and analyzing data, it is the need of the hour to search for tools and solutions that can achieve big data analysis. IBM Watson Analytics gives tools to access data in an easy way and enables users to do truly complex analytics in minutes on tasks whichRead MoreWhat Is Mapreduce For Clinical Analysis1032 Words   |  5 Pages BIGDATA ANALYTICS ASSIGNMENT-2 HITESH BANDARU ID#1174297 MapReduce for clinical analysis: Introduction: The huge data in the clinical settings shows the challenges in data storage and analysis. Advances in data and correspondence innovation exhibit the most feasible answers for Big data analysis as far as proficiency and adaptability. It is fundamental those Big data solutions are multithreaded and that information get to approaches be absolutely customized to huge volumes of semi-organized/unstructuredRead MoreMarketing Analytics And The Other Job Roles1256 Words   |  6 Pages Introduction into Analytics Business Analytics and the other job roles connected to this area has increasing job trend in the last few years, newer and newer jobs appearing in the market, which was not exist 5-8 years ago. Since I am working in this area, and also an interesting area, I would like to introduce this to the audience.I am interested in this topic not only because I am working in this area, also because as a non-statistician person I still could learn many ways of simulating forecastingRead MoreA Brief Note On Big Data Analytics Techniques1179 Words   |  5 Pages3. BIG DATA ANALYTICS TECHNIQUES ‘Big Data’ is the application of specialized techniques and technologies to process very large sets of data. These data sets are often so large and complex that it becomes difficult to process using on-hand database management tools. There are several techniques which are widely used in implementation of Big Data. 1. Association rule learning: Association rule learning is a method for discovering interesting correlations between variables in large databases. It wasRead MoreBusiness Intelligence And Marketing Analytics Essay1321 Words   |  6 PagesBlogs / job portals / special interest groups take on BI and BA Business intelligence and business analytics†¦ aren’t they the same thing?Or are they describing opposite processes?There are a lot of big words that get thrown around in the world of BI, and it’s easy to get lost in a whirlwind of interpretation.The diversity of opinion reflects the fluidity of how we understand the defining language of the field.It also demonstrates that in business intelligence, one term can mean different things toRead MoreForecasting Power Of Statistical Data Analytics Essay828 Words   |  4 Pagessemester, we have learned different aspects of Big Data analytics and their practicalities. Forecasting and prediction are another important parts of data analytics. Advanced forecasting analytics is playing a vital role in the age of Big Data, such as predicting crime activities, weather changes, electric power generations, or personalizing marketing campaigns. The purpose of this report is to demonstrate the forecasting power of statistical data analytics. We will use a time series dataset to conductRead MoreThe Big Data Related Activities1487 Words   |  6 PagesThe world is changing with respect to the growth in big data and to the way in which it is used. Growth in big data brings with it many challenges, but it also presents new opportunities. Figure 1, helps understand some of the big data related activities that are taking place in the world with respect to volume of data that is being consumed by these activities over the next 5 years. Fig. 1: Data is predicted to grow to more than 160,000 terabytes in the next 5 years. Apple was Teradata’s â€Å"fastestRead MoreDifferences Between Structured Data And Unstructured Data1739 Words   |  7 Pagesbetween Structured data and Unstructured data (18 Points) Similarities between Structured Data and Unstructured Data. 1a. What are some of the key differences between managing structured data vs. unstructured data? Structured Data Unstructured Data It has a well-defined content or high degree of organization No identifiable structure Structured data fit nicely into relational databases. Unstructured data does not fit into relational databases as it does not have a pre-defined data model or organized