Streaming Big Data with Spark Streaming, Scala, and Spark 3! / Kane, Frank.

Format:

Video

Author/Creator:

Kane, Frank, author.

Language:

English

Subjects (All):

Data mining.

Scala (Computer program language).

Big data.

Spark (Electronic resource : Apache Software Foundation).

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 5 hr., 58 min.)

Edition:

1st edition

Place of Publication:

Packt Publishing, 2016.

System Details:

video file

Summary:

Process large amounts of data in real time using Spark Streaming About This Video Process streams of real-time data from various sources with Spark Streaming Query your streaming data in real-time using Spark SQL A comprehensive tutorial with practical examples to help you develop real-time Spark applications In Detail "Big Data" analysis is a hot and highly valuable skill. Thing is, "big data" never stops flowing! Spark Streaming is a new and quickly developing technology for processing massive data sets as they are created - why wait for some nightly analysis to run when you can constantly update your analysis in real time, all the time? Whether it's clickstream data from a big website, sensor data from a massive "Internet of Things" deployment, financial data, or something else - Spark Streaming is a powerful technology for transforming and analyzing that data right when it is created, all the time. This course gets your hands on to some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models! You'll write and run real Spark Streaming jobs right at home on your own PC, and toward the end of the course, we'll show you how to take those jobs to a real Hadoop cluster and run them in a production environment too.

Participant:

Presenter, Frank Kane.

Notes:

Online resource; Title from title screen (viewed September 26, 2016)

Title from resource description page (Safari, viewed January 27, 2017).

OCLC:

970665130