Save for later

Big Data Applications

Big Data for Data Engineers,

There is a significant number of tasks when we need not just to process an enormous volume of data but to process it as quickly as possible. Delays in tsunami prediction can cost people’s lives. Delays in traffic jam prediction cost extra time. Advertisements based on the recent users’ activity are ten times more popular. However, stream processing techniques alone are not enough to create a complete real-time system. For example to create a recommendation system we need to have a storage that allows to store and fetch data for a user with minimal latency. These databases should be able to store hundreds of terabytes of data, handle billions of requests per day and have a 100% uptime. NoSQL databases are commonly used to solve this challenging problem. After you finish this course, you will master stream processing systems and NoSQL databases. You will also learn how to use such popular and powerful systems as Kafka, Cassandra and Redis. To get the most out of this course, you need to know Hadoop and SQL. You should also have a working knowledge of bash, Python and Spark. Do you want to learn how to build Big Data applications that can withstand modern challenges? Jump right in!

Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera and may earn a commission when you buy through our links.

Get a Reminder

Send to:
Rating 1.1★ based on 6 ratings
Length 5 weeks
Effort 4 weeks of study, 4-8 hours/week
Starts Dec 16 (199 weeks ago)
Cost $79
From Yandex via Coursera
Instructors Ivan Puzyrevskiy, Pavel Mezentsev, Emeli Dral, Alexey A. Dral, Artyom Vybornov, Vladislav Goncharenko, Ivan Mushketyk
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Data Analysis Software Development

Get a Reminder

Send to:

Similar Courses

What people are saying

possible within any justifiable

I'm sorry but I have to say this course is very poorly executed.The assignment of week 1 is very simple, but getting the result through the grader is just not possible within any justifiable amount of time.

might work in notebooks

And the assignments have you spend a lot of time on technical difficulties with the grader: it might work in notebooks, and then the grader keeps running it to no avail.

best.i only worked

The tools provided are cumbersome at best.I only worked myself through week 1, so no review on the other weeks.

further increases frustration

No support on this point or response from the teaching team, which further increases frustration.

point or response

which makes

Which makes it very hard to succeed.

completely dysfunctional

BUT the system used for the evaluation is completely dysfunctional.

having probleme

But we are lot of having probleme with grademe system.

justifiable amount

keeps running

loose 80 $ with

97 % sucess

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Processing Agent $42k

Underwriting / Processing $58k

Specimen processing $64k

Value Stream Coordinator $72k

Engineer Processing $73k

Payment Processing $77k

Transaction Processing $78k

Value Stream Leader 3 $90k

Waste Stream Management $92k

Value Stream Leader 4 $94k

Processing Programmer $107k

Manufacturing Stream Leader $124k

Write a review

Your opinion matters. Tell us what you think.

Please login to leave a review
Login or register with your email instead.
Rating 1.1★ based on 6 ratings
Length 5 weeks
Effort 4 weeks of study, 4-8 hours/week
Starts Dec 16 (199 weeks ago)
Cost $79
From Yandex via Coursera
Instructors Ivan Puzyrevskiy, Pavel Mezentsev, Emeli Dral, Alexey A. Dral, Artyom Vybornov, Vladislav Goncharenko, Ivan Mushketyk
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Data Analysis Software Development

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now

Special thanks to our sponsors