Distributed File Systems

Failed to load content!

The page you were looking for was moved or doesn't exist.


Previous 30 days

Today

Previous 7 days

The podcast {{podcastName}} is embedded on this page from an open {{RSSLink}}. All files, descriptions, artwork and other metadata from the RSS-feed is the property of the podcast owner and not affiliated with or validated by Podplay.

The podcast {{podcastName}} is distributed by Podplay. Here you find the podcasts {{RSSLink}}.

Play latest

Resume

More

Popular podcasts

{{title}} | {{podcastTitle}} | Podplay

Page not found

An error has occurred

Find and listen to your favourite podcasts at Podplay.

Podplay

{{title}} | Listen at Podplay

Find and listen to your favourite podcasts at Podplay - Your home for podcasts.

Podplay | Your Home for Podcasts

Account settings - Data

My account – delete account

Account settings - settings

My account - Settings

My account

My account - password

Something went wrong, please try again. If the problem persists, please contact us.

Go to start page

Click the button below to request your data. The data will be sent to the email associated with your account.

You have already requested your data. You must wait before requesting again.

A download link will be sent to your email when the file has been created.

Request your data

Click below to delete your account. Note that all information associated with your account, such as which podcasts you follow and listening history, will also be deleted.

Delete Account

Update account information

You have entered wrong password. Please try again.

Update password

You need to enter your current password to make changes on your profile.

Profile name is part of your public profile.

The amount of data that can be generated and stored in academic and industrial projects and applications is increasing rapidly. Big data analytics technologies have established themselves as a solution for big data challenges to the scalability problems of traditional database systems. The vast amounts of new data that is collected, however, usually is not as easily analyzed as curated, structured data in a data warehouse is. Typically, these data are noisy, of varying format and velocity, and need to be analyzed with techniques from statistics and machine learning rather than pure SQL-like aggregations and drill-downs. Moreover, the results of the analyses frequently are models that are used for decision making and prediction. The complete process of big data analysis is described as a pipeline, which includes data recording, cleaning, integration, modeling, and interpretation.

In this lecture, we will discuss big data systems, i.e., infrastructures that are used to handle all steps in typical big data processing pipelines.

Distributed File Systems

Education

Courses