Real Time Big Data Processing With Machine Learning

Real Time Big Data Processing with Machine Learning On Real Estate Business ABSTRACT Real Time Big Data Processing with Machine Learning On Real Estate Business By Jasleen Kaur Raghav Munjal Shubham Rajvanshi Della Sivakumar Data is a powerful weapon as well as a resource. Having data does not make you powerful but what you do with it makes all the difference. Companies like Amazon, eBay and Netflix are already using data to predict user behavior and utilizing that to increase their revenue. But processing data in real time is not an easy task. The data today has great volume, is veracious in nature and is increasing at an enormous rate and hence has been given the term Big Data. There is a constant research going on to find a solution to process such huge amount of data in real time. The Hadoop based batch processing is a powerful tool for analyzing data offline. But it fails to process anything in real time. Highly sensitive situations like crediting card fraud detection, networking fault prediction; threat detection and so on cannot be postponed for an offline analysis. Situations like these need instant results because if something is not done to mitigate a potential threat in real time, the damage may be catastrophic. The goal of this project is to come up with a scalable and efficient solution which can process heterogeneous data in the most simplified design possible in real time. Existing solutions are either not scalable or approach one kind of data and inShow MoreRelatedBig Data Vs Mapreduce Framework984 Words   |  4 PagesBig data has received popularity as datasets which are large that cannot be easily managed by the traditional relational databases. Big data deals with high volume, variety and velocity of data. However, if traditional relational database schemas are applied to big data, the large volume of datasets cannot be processed and managed by these traditional techniques. The notable solution to manage and process the data is MapReduce framework. MapReduce is programming model which programming model whereRead MoreWhat Is The Tools And Architecture For Big Data Chapter Summary1391 Words   |  6 PagesBig Data Now : 2016 Edition is a collection of big data and data science blogs and excerpts written by various O’reilly authors. It brings forward the knowledge of executing big data project and creating scalable solutions. 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Till today, there have been various developments in smart farming using image processing, data mining, IOT, etc. but as of now, Machine Learning is the industry which is emerging at a rapid pace. There has been an increasing demand related to real time applications inRead MoreNeural Stack Essay1175 Words   |  5 PagesNeural stack is a type of data structure. Neural network helps in learning push and pull the neural network by using the back propagation. There are some of the pre-requisite of this understanding of neu ral network in general. It is better if we understand how neural networks will help to push the stack on sequences and pull off it in a reverse order. It is better to have a sequence to be pushed over 6 numbers by popping 6 times and pushing it over 6 times and reverse the list in correct sequenceRead MoreThe Importance Of Big Data809 Words   |  4 Pagesamount of unstructured data collected is humungous. This unstructured data is of no use if it is not properly processed, analyzed and evaluated. Using this data for the betterment of mankind is what most of the largest companies like Google, Facebook, Amazon, Netflix and much more are targeting. Big data is a term for datasets which are so large and complex that traditional database systems such as MS SQL, MySQL, etc., are incapable of handling them. It is not the amount of data that is important, butRead MoreBenefits Of Using Predictive Analytics Software1098 Words   |  5 Pages†¢ Enhanced use of freely available data. †¢ Building new products and services supplemented with Big Data analytics and privacy by design, developing products adapted to European privacy standards . The power and opportunity of big data applications used well, big data analysis can improve economic productivity, drive improved consumer and government services, prevent terrorists, and save lives. Examples include: †¢ Big data and the rising â€Å"Internet of Things† have made it possible to merge the manufacturingRead MoreBenefits Of Using Predictive Analytics Software1097 Words   |  5 PagesEnhanced use of freely available data. †¢ Building new products and services supplemented with Big Data analytics and privacy by design, developing products adapted to European privacy standards . The power and opportunity of big data applications used well, big data analysis can improve economic productivity, drive improved consumer and government services, prevent terrorists, and save lives. Examples include: †¢ Big data and the rising â€Å"Internet of Things† have made it possible to merge the manufacturingRead MorePredictive Analysis Model1387 Words   |  6 Pagesgrowth rate of data are rapidly accelerating and affecting all areas of technologies by increasing the benefits to the society. The data collected from different wireless sensor network can be modeled using different predictive modeling techniques. This paper listed different IoT data based predictive models and their comparison to understand the usage of model for the energy use of appliances. Specific prediction techniques include Multiple Linear Regression (LR), Support Vector Machine for regression