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!
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.