Introduction to Apache Spark / Nathan, Paco.

Format:

Video

Author/Creator:

Nathan, Paco, author.

Language:

English

Subjects (All):

Big data.

Data mining--Computer programs.

Data mining.

Spark (Electronic resource : Apache Software Foundation).

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 4 hr., 46 min.)

Edition:

1st edition

Place of Publication:

O'Reilly Media, Inc., 2015.

System Details:

video file

Summary:

Get up to speed on Apache Spark for building big data applications in Python, Java, or Scala. Recently updated with nearly an hour of new footage on DataFrames in Spark 1.3, this video workshop shows you how to explore data and apply algorithms with MLlib, GraphX, and Spark SQL. You’ll learn Spark and its core APIs by doing hands-on technical exercises with presenter Paco Nathan, host of the popular Just Enough Math video workshop. With this workshop, you will: Get going with the newest features of Spark 1.3 Open a Spark shell Develop Spark apps for typical use cases Use some machine-learning algorithms Explore data sets loaded from HDFS or another filesystem Work with Spark SQL, Spark Streaming, and Spark’s machine-learning library, MLlib Use Maven, SBT, IPython Notebook, and other tooling Learn about Spark follow-up courses and certification Paco Nathan has led innovative data teams building large-scale apps for several years. He’s an expert in distributed systems, machine learning, cloud computing, and functional programming.

Participant:

Presenter, Paco Nathan.

Notes:

Online resource; Title from title screen (viewed March 6, 2015)

Title from title screen (viewed April 3, 2015).

OCLC:

907477254