Big Data Analytics Research Papers - Academia.edu.
David Loshin, in Big Data Analytics, 2013. 4.6 Promote Data Reuse. Big data analytics holds the promise of creating value through the collection, integration, and analysis of many large, disparate datasets. Different analyses will employ a variety of data sources, implying the potential need to use the same datasets multiple times in different ways.The big data target is important due to constant improvement in traditional DBMS technology and new databases like NoSQL and their ability to handle larger amounts of data. Big data is a huge volume and huge variety of information that require new forms of processing which helps in making decisions and helps in optimization of processes.Data Analytics is a lifeline for the IT industry right now. Technologies and techniques like Big data, Data science, Machine learning, and Deep learning, which are used in analyzing vast volumes of data are expanding rapidly.
View Big Data Analytics Research Papers on Academia.edu for free.Up-to-Date List of Essay Topics on Big Data You Can Choose from.. How Predictive Analytics Can Improve Company’s Service Provision; Big Data as a Service (BDaaS): Origins and Current Status; You can use these sample topics to write essays. Big data is worth writing about, and if your professor gives you such a task, you are quite lucky.
The Age of Big Data is here, and these are truly revolutionary times if both business and technology professionals continue to work together. Real-time big data analytics can be of immense importance to a business, but a business must first determine if the pros outweigh the cons in their particular situation before implementing.
