الفهرس 
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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.