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Udemy | Learn Apache Spark with Python [FTU]

Torrent Info
Category Other
Added Friday 2nd June 2023 11:16:50 AM (3 years ago)
Size3.8 GB
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Downloaded15 times
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Tags English
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Torrent Files (81)
FilenameSize
1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url328 bytes
2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url286 bytes
3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url163 bytes
4. (FTUApps.com) Download Cracked Developers Applications For Free.url239 bytes
5. (Discuss.FTUForum.com) FTU Discussion Forum.url294 bytes
How you can help Team-FTU.txt237 bytes
1. Introduction to the Module.mp42.3 MB
2. What is PySpark.mp49.6 MB
3. PySpark in Industry.mp417.1 MB
4. Why to go for Python.mp44.9 MB
10. HDFS Daemons and Mapreduce daemons.mp424.4 MB
11. HADOOP CLUSTER ARCHITECTURE.mp426.1 MB
12. Top Reasons Why you should Learn Hadoop.mp461.1 MB
13. Hadoop distributions and compatibilities.mp45.9 MB
14. Hadoop Ecosystem in Detail.mp4138.3 MB
15. Hadoop Distributed File System.mp437.8 MB
16. HDFS Files and Blocks.mp432.5 MB
17. HDFS components and architecture.mp462.9 MB
18. HDFS File Read and Write.mp492.6 MB
1. Big Data Overview.mp423.2 MB
2. Facts about Big Data.mp438.2 MB
3. Big Data Scenarios.mp417.4 MB
4. Apache Hadoop Framework.mp415.2 MB
5. Top Hadoop Users.mp417.3 MB
6. HISTORY OF HADOOP.mp413.7 MB
7. Difference between RDBMS and Hadoop.mp49.9 MB
8. Cluster Modes in Hadoop.mp47.8 MB
9. Hadoop Ecosystem.mp441.8 MB
10. Top Companies Using Spark.mp426.7 MB
1. Batch and Real Time Analytics.mp434.0 MB
2. Why Spark when Hadoop is Already there.mp412.5 MB
3. Introduction to Apache Spark.mp427.0 MB
4. Features of Apache Spark.mp419.6 MB
5. Users and Use Cases of Apache Spark.mp449.7 MB
6. Job Execution Flow and Spark Execution.mp45.6 MB
7. Spark Unified Stack.mp454.9 MB
8. Complete Picture of Apache Spark.mp420.0 MB
9. Apache spark Architecture.mp432.3 MB
10. Variables and assignment.mp4137.3 MB
11. Hands-On.mp4156.7 MB
12. Hands-On.mp498.5 MB
13. Hands-On.mp4161.8 MB
14. Hands-On.mp4138.5 MB
15. Hands-On.mp434.1 MB
1. Getting Started with Python.mp41.1 MB
2. Introduction to Python.mp482.4 MB
3. Advantages and facts about python.mp493.6 MB
4. First python program.mp414.1 MB
5. Program execution and python IDE.mp461.6 MB
6. Built in types in python.mp434.0 MB
7. Numbers Data Type in Python.mp452.0 MB
8. String and List Data Type.mp4139.6 MB
9. Dictionary, Tuples and Sets.mp4160.9 MB
10. Filtering RDD using an example.mp480.7 MB
11. Finding maximum temperature by location.mp430.4 MB
12. Map vs FlatMap.mp46.8 MB
13. Understanding FlatMap using Word Count example.mp459.4 MB
14. Sorting the word count results.mp440.2 MB
15. Total Amount Spent Example.mp447.1 MB
16. Sorting the Total Amount Spent Example result.mp421.0 MB
1. Downloading and Installing Enthought Canopy.mp418.8 MB
2. Downloading and Installing jdk.mp419.2 MB
3. Downloading and Installing Spark.mp423.4 MB
4. Downloading and Setup of winutils.mp49.2 MB
5. Setting up Environment Variables.mp417.7 MB
6. Running the first Spark Program.mp411.6 MB
7. Downloading and Extracting movie ratings datasets.mp415.1 MB
8. Running Ratings Counter Spark Program.mp433.4 MB
9. Understanding key value pairs with an example.mp466.6 MB
vz0 bytes
1. Most popular movie example.mp452.5 MB
2. Understanding Broadcast Variables with an example.mp478.4 MB
3. Finding Similar Movies Example.mp4190.9 MB
4. Finding Most Popular Superhero example.mp499.5 MB
5. Superhero Degrees of Separation Part1.mp438.7 MB
6. Superhero Degrees of Separation Part 2.mp4142.0 MB
1. Executing SQL commands.mp464.2 MB
2. Using SQL style functions instead of queries.mp426.4 MB
3. Using DataFrames instead of RDDs.mp465.3 MB
1. Using MLlib to produce movie recommendations.mp4101.3 MB
2. Using Dataframe with MLlib using an example.mp4132.4 MB
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