Apache Spark with Python - Big Data with PySpark and Spark / Bernardo, Pedro.

Format:

Video

Author/Creator:

Bernardo, Pedro, author.

W, Tao, author.

Lee, James, author.

Language:

English

Subjects (All):

Data mining.

Python (Computer program language).

Big data.

Electronic data processing.

Spark (Electronic resource : Apache Software Foundation).

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 3 hr., 18 min.)

Edition:

1st edition

Other Title:

Title on title screen: Learning Apache Spark with Python

Place of Publication:

Packt Publishing, 2018.

System Details:

video file

Summary:

Learn Apache Spark and Python by 12+ hands-on examples of analyzing big data with PySpark and Spark About This Video Apache Spark gives us unlimited ability to build cutting-edge applications. It is also one of the most compelling technologies of the last decade in terms of its disruption to the big data world. Spark provides in-memory cluster computing which greatly boosts the speed of iterative algorithms and interactive data mining tasks. In Detail This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adopt Apache Spark for building big data processing pipeline and data analytics applications. This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache weblogs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom. And much much more.

Notes:

Online resource; Title from title screen (viewed April 16, 2018)

Title from resource description page (Safari, viewed July 1, 2019).

OCLC:

1107052666