الفهرس | Only 14 pages are availabe for public view |
Abstract Today, we live in the digital world. With continuous data streaming and increasing digitalization the amount of structured and unstructured data being generated from various sources - transactions, social media networks, sensors, machines, vehicles, mobile phones and other real time source are compelling organizations to imagine what they could do with this data if they could gain insight into it. The speed and growth of data has affected all fields whether it is the business sector or the world of science caused by emerging new services as cloud computing, intemet of things and location-based services. So, the era of real-time data processing has arrived. A large amount of data gives a better output but also working with it can become challenges due to processing frameworks which that one of the essential components of real-time data analysis. So, a real-time framework must meet the needs of data scientists, developers, and data center operations teams without requiring extensive custom code or brittle integration of many third-party components. And the data analysis requires scalable, flexible, and high performing tools to provide insights in a timely fashion. |