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Download [FTUForum.com] [UDEMY] Learn Apache Spark with Python [FTU]

FTUForum com UDEMY Learn Apache Spark with Python FTU

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[FTUForum.com] [UDEMY] Learn Apache Spark with Python [FTU]

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2025-07-18 00:32

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F1AB66648FEF8125DA22F2879B98894D1C2DC112

/0. Websites you may like/

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How you can help Team-FTU.txt

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/1. Module 1 Introduction to Spark with Python/

1. Introduction to the Module.mp4

2.4 MB

2. What is PySpark.mp4

10.1 MB

3. PySpark in Industry.mp4

17.9 MB

4. Why to go for Python.mp4

5.1 MB

/2. Module 2 Introduction to Big Data and Hadoop/

10. HDFS Daemons and Mapreduce daemons.mp4

25.6 MB

11. HADOOP CLUSTER ARCHITECTURE.mp4

27.4 MB

12. Top Reasons Why you should Learn Hadoop.mp4

64.1 MB

13. Hadoop distributions and compatibilities.mp4

6.2 MB

14. Hadoop Ecosystem in Detail.mp4

145.0 MB

15. Hadoop Distributed File System.mp4

39.7 MB

16. HDFS Files and Blocks.mp4

34.1 MB

17. HDFS components and architecture.mp4

66.0 MB

18. HDFS File Read and Write.mp4

97.1 MB

1. Big Data Overview.mp4

24.3 MB

2. Facts about Big Data.mp4

40.0 MB

3. Big Data Scenarios.mp4

18.3 MB

4. Apache Hadoop Framework.mp4

16.0 MB

5. Top Hadoop Users.mp4

18.2 MB

6. HISTORY OF HADOOP.mp4

14.4 MB

7. Difference between RDBMS and Hadoop.mp4

10.4 MB

8. Cluster Modes in Hadoop.mp4

8.1 MB

9. Hadoop Ecosystem.mp4

43.8 MB

/3. Module 3 Apache Spark Framework/

10. Top Companies Using Spark.mp4

28.0 MB

1. Batch and Real Time Analytics.mp4

35.7 MB

2. Why Spark when Hadoop is Already there.mp4

13.1 MB

3. Introduction to Apache Spark.mp4

28.3 MB

4. Features of Apache Spark.mp4

20.6 MB

5. Users and Use Cases of Apache Spark.mp4

52.1 MB

6. Job Execution Flow and Spark Execution.mp4

5.9 MB

7. Spark Unified Stack.mp4

57.6 MB

8. Complete Picture of Apache Spark.mp4

21.0 MB

9. Apache spark Architecture.mp4

33.9 MB

/4. Module 4 Python Programming Language/

10. Variables and assignment.mp4

143.9 MB

11. Hands-On.mp4

164.3 MB

12. Hands-On.mp4

103.2 MB

13. Hands-On.mp4

169.6 MB

14. Hands-On.mp4

145.2 MB

15. Hands-On.mp4

35.8 MB

1. Getting Started with Python.mp4

1.2 MB

2. Introduction to Python.mp4

86.4 MB

3. Advantages and facts about python.mp4

98.2 MB

4. First python program.mp4

14.7 MB

5. Program execution and python IDE.mp4

64.6 MB

6. Built in types in python.mp4

35.7 MB

7. Numbers Data Type in Python.mp4

54.5 MB

8. String and List Data Type.mp4

146.4 MB

9. Dictionary, Tuples and Sets.mp4

168.7 MB

/5. Module 5 Advanced Part of Apache Spark with Python/

10. Filtering RDD using an example.mp4

84.6 MB

11. Finding maximum temperature by location.mp4

31.8 MB

12. Map vs FlatMap.mp4

7.1 MB

13. Understanding FlatMap using Word Count example.mp4

62.2 MB

14. Sorting the word count results.mp4

42.1 MB

15. Total Amount Spent Example.mp4

49.4 MB

16. Sorting the Total Amount Spent Example result.mp4

22.0 MB

1. Downloading and Installing Enthought Canopy.mp4

19.7 MB

2. Downloading and Installing jdk.mp4

20.2 MB

3. Downloading and Installing Spark.mp4

24.5 MB

4. Downloading and Setup of winutils.mp4

9.6 MB

5. Setting up Environment Variables.mp4

18.5 MB

6. Running the first Spark Program.mp4

12.2 MB

7. Downloading and Extracting movie ratings datasets.mp4

15.9 MB

8. Running Ratings Counter Spark Program.mp4

35.0 MB

9. Understanding key value pairs with an example.mp4

69.9 MB

vz

0.0 KB

/6. Module 6 Deep Dive Into Spark with Python/

1. Most popular movie example.mp4

55.1 MB

2. Understanding Broadcast Variables with an example.mp4

82.3 MB

3. Finding Similar Movies Example.mp4

200.2 MB

4. Finding Most Popular Superhero example.mp4

104.3 MB

5. Superhero Degrees of Separation Part1.mp4

40.6 MB

6. Superhero Degrees of Separation Part 2.mp4

148.8 MB

/7. Module 7 SparkSQL in Apache Spark with Python/

1. Executing SQL commands.mp4

67.3 MB

2. Using SQL style functions instead of queries.mp4

27.7 MB

3. Using DataFrames instead of RDDs.mp4

68.4 MB

/8. Module 8 MLib in Apache Spark with Python/

1. Using MLlib to produce movie recommendations.mp4

106.3 MB

2. Using Dataframe with MLlib using an example.mp4

138.8 MB

 

Total files 81


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