Apache Spark with Python : big data with PySpark and Spark /

Apache Spark with Python : big data with PySpark and Spark /

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Bibliographic Details
Author / Creator:Magalhães Bernardo, Pedro, speaker.
Imprint:[Place of publication not identified] : Packt Publishing, 2018.
Description:1 online resource (1 streaming video file (3 hr., 18 min., 17 sec.))
Language:English
Subject:
Spark (Electronic resource : Apache Software Foundation)
Spark (Electronic resource : Apache Software Foundation)
Data mining.
Python (Computer program language)
Big data.
Electronic data processing.
Data Mining
Big data.
Data mining.
Electronic data processing.
Python (Computer program language)
Format: E-Resource Video
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13671758
Hidden Bibliographic Details
Varying Form of Title:Title on title screen: Learning Apache Spark with Python
Other authors / contributors:Tao W, author.
Lee, James, author.
Notes:Title from resource description page (Safari, viewed July 1, 2019).
Summary:"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."--Resource description page

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