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[FreeCoursesOnline.Me] PacktPub - Apache Spark 3 For Data Engineering And Analytics With Python
TORRENT SUMMARY
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Apache Spark 3 is an open-source distributed engine for querying and processing data. This course will provide you with a detailed understanding of PySpark and its stack. This course is carefully developed and designed to guide you through the process of data analytics using Python Spark. The author uses an interactive approach in explaining keys concepts of PySpark such as the Spark architecture, Spark execution, transformations and actions using the structured API, and much more. You will be able to leverage the power of Python, Java, and SQL and put it to use in the Spark ecosystem.
You will start by getting a firm understanding of the Apache Spark architecture and how to set up a Python environment for Spark. Followed by the techniques for collecting, cleaning, and visualizing data by creating dashboards in Databricks. You will learn how to use SQL to interact with DataFrames. The author provides an in-depth review of RDDs and contrasts them with DataFrames.
There are multiple problem challenges provided at intervals in the course so that you get a firm grasp of the concepts taught in the course.
The code bundle for this course is available here: https://github.com/PacktPublishing/Apache-Spark-3-for-Data-Engineering-and-Analytics-with-Python-
Author
David Mngadi
David is a data management professional who is influenced by the power of data in our lives and has helped several companies become more data-driven to gain a competitive edge as well as meet the regulatory requirements. In the last 15 years, he has had the pleasure of designing and implementing data warehousing solutions in retail, telco, and banking industries, and recently in more big data lake-specific implementations. He is passionate about technology and teaching programming online.
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FILE LIST
Filename
Size
[00] Websites you may like/How you can help our Group!.txt
204 B
[0] Chapter 1 _ Introduction to Spark and Installation/[0] Introduction.mp4
47.1 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[10] MacOS - PySpark Installation.mp4
32 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[11] MacOS - Testing the Spark Installation.mp4
25.1 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[12] Install Jupyter Notebooks.mp4
31.5 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[13] The Spark Web UI.mp4
53.1 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[14] Section Summary.mp4
14.2 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[1] The Spark Architecture.mp4
31.7 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[2] The Spark Unified Stack.mp4
32.6 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[3] Java Installation.mp4
23.6 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[4] Hadoop Installation.mp4
22.6 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[5] Python Installation.mp4
14.8 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[6] PySpark Installation.mp4
42.5 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[7] Install Microsoft Build Tools.mp4
11.3 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[8] MacOS - Java Installation.mp4
20.8 MB
[0] Chapter 1 _ Introduction to Spark and Installation/[9] MacOS - Python Installation.mp4