Big Data Applications: Real-Time Streaming
From the practical point of view, data freshness is of utmost importance. Advertisements based on the recent users’ activity are ten times more popular. Delays in traffic jam prediction cost extra time for customers and make them angry. Delays in tsunami prediction can cost people’s lives.
The first half of the course is devoted to streaming frameworks that allow building continuous data applications to process massive amounts of data within seconds. You will learn techniques, technologies and algorithms suitable for building near real-time applications.
In the second part of the course, you will learn how to integrate these technologies into your applications. We will explore common strategies for improving data freshness in web applications (by building your own sample application on Flask). As a bonus, you will learn about NoSQL databases, how to work with them and when to use them instead of traditional RDBMS systems.
Are you ready for the journey full of research surprises? Jump in!
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