PYSPARK End to End Developer Course (Spark with Python)

سرفصل های دوره

Learn PySpark end to end features and functionalities. Course also includes a Python course and HDFS Commands Course.

1. Introduction

1.1 PySpark Slides v1.pdf

1.2 retail db.pptx

1.3 RetailDB SalesData.zip

1. Download Course Slides and Data Files.html

2. Spark Installation and Set Up Standalone (Windows)

1.1 01 Resources PySpark Set Up on Windows.pdf

1. Resources.html

2. Minimum Supported VersionsPrerequisites

3. Java Installation

4. Python Installation

5. Spark Installation

6. Winutils Set up

7. PyCharm Instalaltion

8. PyCharm Basics

9. PyCharm run time arguments

10. Integrate Python and PySpark

11.1 11 debug.zip

11. How to debug Python Applications using PyCharm

3. HDFS Course

1.1 02 01 hdfs slides.zip

1. Download Slides.html

2. What is HDFS and Why HDFS

3. HDFS Components and Metadata

4. HDFS Block and Replication

5. Rack Awareness

6. HDFS Read Mechanism Architecture

7.1 07 HDFS+Help+Commands.txt

7. Exercise HDFS CLI Help Commands

8.1 08 Get+Data+From+GitHub+to+Local+to+HDFS.txt

8. Exercise - Bring Data from GitHub to Local to HDFS

9.1 09 List+and+Sort+Files+and+Directories+in+HDFS.txt

9. Exercise - Listing and Sorting Files and Directories

10.1 10 Create+or+Remove+Directories+in+HDFS.txt

10. Exercise - Create or Remove Directories in HDFS

11.1 11 Copy+Data+from+HDFS+to+Local+System.txt

11. Exercise - Copy Data from HDFS to Local

12.1 12 Copy+Data+from+Local+to+HDFS.txt

12. Exercise - Copy data from Local to HDFS

13.1 13 Showing+Data+in+HDFS.txt

13. Exercise - Preview Data in HDFS

14.1 14 Knowing+Statistics+in+HDFS.txt

14. Exercise - Knowing Statistics in HDFS

15.1 15 Knowing+Storage+in+HDFS+File+System.txt

15. Exercise - Knowing Storage in HDFS File System

16.1 16 HDFS+MetaData.txt

16. Exercise - Metadata in HDFS

17.1 17 File+Permission+in+HDFS.txt

17. File Permission in HDFS

18.1 18 Override+Properties+in+HDFS.txt

18. Exercise - Update Properties in HDFS

4. Introduction to Spark

1. Why Spark was developed

2. What is Spark and its features

3. Spark Main Components

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تولید کننده: Udemy-Training