Udemy | Learn Apache Spark with Python [FTU] GloDLS
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Torrent File Contents
Udemy | Learn Apache Spark with Python [FTU] GloDLS
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1. Module 1 Introduction to Spark with Python/1. Introduction to the Module.mp4
1. Module 1 Introduction to Spark with Python/2. What is PySpark.mp4
1. Module 1 Introduction to Spark with Python/3. PySpark in Industry.mp4
1. Module 1 Introduction to Spark with Python/4. Why to go for Python.mp4
2. Module 2 Introduction to Big Data and Hadoop/10. HDFS Daemons and Mapreduce daemons.mp4
2. Module 2 Introduction to Big Data and Hadoop/11. HADOOP CLUSTER ARCHITECTURE.mp4
2. Module 2 Introduction to Big Data and Hadoop/12. Top Reasons Why you should Learn Hadoop.mp4
2. Module 2 Introduction to Big Data and Hadoop/13. Hadoop distributions and compatibilities.mp4
2. Module 2 Introduction to Big Data and Hadoop/14. Hadoop Ecosystem in Detail.mp4
2. Module 2 Introduction to Big Data and Hadoop/15. Hadoop Distributed File System.mp4
2. Module 2 Introduction to Big Data and Hadoop/16. HDFS Files and Blocks.mp4
2. Module 2 Introduction to Big Data and Hadoop/17. HDFS components and architecture.mp4
2. Module 2 Introduction to Big Data and Hadoop/18. HDFS File Read and Write.mp4
2. Module 2 Introduction to Big Data and Hadoop/1. Big Data Overview.mp4
2. Module 2 Introduction to Big Data and Hadoop/2. Facts about Big Data.mp4
2. Module 2 Introduction to Big Data and Hadoop/3. Big Data Scenarios.mp4
2. Module 2 Introduction to Big Data and Hadoop/4. Apache Hadoop Framework.mp4
2. Module 2 Introduction to Big Data and Hadoop/5. Top Hadoop Users.mp4
2. Module 2 Introduction to Big Data and Hadoop/6. HISTORY OF HADOOP.mp4
2. Module 2 Introduction to Big Data and Hadoop/7. Difference between RDBMS and Hadoop.mp4
2. Module 2 Introduction to Big Data and Hadoop/8. Cluster Modes in Hadoop.mp4
2. Module 2 Introduction to Big Data and Hadoop/9. Hadoop Ecosystem.mp4
3. Module 3 Apache Spark Framework/10. Top Companies Using Spark.mp4
3. Module 3 Apache Spark Framework/1. Batch and Real Time Analytics.mp4
3. Module 3 Apache Spark Framework/2. Why Spark when Hadoop is Already there.mp4
3. Module 3 Apache Spark Framework/3. Introduction to Apache Spark.mp4
3. Module 3 Apache Spark Framework/4. Features of Apache Spark.mp4
3. Module 3 Apache Spark Framework/5. Users and Use Cases of Apache Spark.mp4
3. Module 3 Apache Spark Framework/6. Job Execution Flow and Spark Execution.mp4
3. Module 3 Apache Spark Framework/7. Spark Unified Stack.mp4
3. Module 3 Apache Spark Framework/8. Complete Picture of Apache Spark.mp4
3. Module 3 Apache Spark Framework/9. Apache spark Architecture.mp4
4. Module 4 Python Programming Language/10. Variables and assignment.mp4
4. Module 4 Python Programming Language/11. Hands-On.mp4
4. Module 4 Python Programming Language/12. Hands-On.mp4
4. Module 4 Python Programming Language/13. Hands-On.mp4
4. Module 4 Python Programming Language/14. Hands-On.mp4
4. Module 4 Python Programming Language/15. Hands-On.mp4
4. Module 4 Python Programming Language/1. Getting Started with Python.mp4
4. Module 4 Python Programming Language/2. Introduction to Python.mp4
4. Module 4 Python Programming Language/3. Advantages and facts about python.mp4
4. Module 4 Python Programming Language/4. First python program.mp4
4. Module 4 Python Programming Language/5. Program execution and python IDE.mp4
4. Module 4 Python Programming Language/6. Built in types in python.mp4
4. Module 4 Python Programming Language/7. Numbers Data Type in Python.mp4
4. Module 4 Python Programming Language/8. String and List Data Type.mp4
4. Module 4 Python Programming Language/9. Dictionary, Tuples and Sets.mp4
5. Module 5 Advanced Part of Apache Spark with Python/10. Filtering RDD using an example.mp4
5. Module 5 Advanced Part of Apache Spark with Python/11. Finding maximum temperature by location.mp4
5. Module 5 Advanced Part of Apache Spark with Python/12. Map vs FlatMap.mp4
5. Module 5 Advanced Part of Apache Spark with Python/13. Understanding FlatMap using Word Count example.mp4
5. Module 5 Advanced Part of Apache Spark with Python/14. Sorting the word count results.mp4
5. Module 5 Advanced Part of Apache Spark with Python/15. Total Amount Spent Example.mp4
5. Module 5 Advanced Part of Apache Spark with Python/16. Sorting the Total Amount Spent Example result.mp4
5. Module 5 Advanced Part of Apache Spark with Python/1. Downloading and Installing Enthought Canopy.mp4
5. Module 5 Advanced Part of Apache Spark with Python/2. Downloading and Installing jdk.mp4
5. Module 5 Advanced Part of Apache Spark with Python/3. Downloading and Installing Spark.mp4
5. Module 5 Advanced Part of Apache Spark with Python/4. Downloading and Setup of winutils.mp4
5. Module 5 Advanced Part of Apache Spark with Python/5. Setting up Environment Variables.mp4
5. Module 5 Advanced Part of Apache Spark with Python/6. Running the first Spark Program.mp4
5. Module 5 Advanced Part of Apache Spark with Python/7. Downloading and Extracting movie ratings datasets.mp4
5. Module 5 Advanced Part of Apache Spark with Python/8. Running Ratings Counter Spark Program.mp4
5. Module 5 Advanced Part of Apache Spark with Python/9. Understanding key value pairs with an example.mp4
5. Module 5 Advanced Part of Apache Spark with Python/vz
6. Module 6 Deep Dive Into Spark with Python/1. Most popular movie example.mp4
6. Module 6 Deep Dive Into Spark with Python/2. Understanding Broadcast Variables with an example.mp4
6. Module 6 Deep Dive Into Spark with Python/3. Finding Similar Movies Example.mp4
6. Module 6 Deep Dive Into Spark with Python/4. Finding Most Popular Superhero example.mp4
6. Module 6 Deep Dive Into Spark with Python/5. Superhero Degrees of Separation Part1.mp4
6. Module 6 Deep Dive Into Spark with Python/6. Superhero Degrees of Separation Part 2.mp4
7. Module 7 SparkSQL in Apache Spark with Python/1. Executing SQL commands.mp4
7. Module 7 SparkSQL in Apache Spark with Python/2. Using SQL style functions instead of queries.mp4
7. Module 7 SparkSQL in Apache Spark with Python/3. Using DataFrames instead of RDDs.mp4
8. Module 8 MLib in Apache Spark with Python/1. Using MLlib to produce movie recommendations.mp4
8. Module 8 MLib in Apache Spark with Python/2. Using Dataframe with MLlib using an example.mp4
0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url
- 328 Bytes
0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url
- 286 Bytes
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- 163 Bytes
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- 239 Bytes
0. Websites you may like/5. (Discuss.FTUForum.com) FTU Discussion Forum.url
- 294 Bytes
0. Websites you may like/How you can help Team-FTU.txt
- 237 Bytes
1. Module 1 Introduction to Spark with Python/1. Introduction to the Module.mp4
- 2.26 MB
1. Module 1 Introduction to Spark with Python/2. What is PySpark.mp4
- 9.61 MB
1. Module 1 Introduction to Spark with Python/3. PySpark in Industry.mp4
- 17.05 MB
1. Module 1 Introduction to Spark with Python/4. Why to go for Python.mp4
- 4.86 MB
2. Module 2 Introduction to Big Data and Hadoop/10. HDFS Daemons and Mapreduce daemons.mp4
- 24.39 MB
2. Module 2 Introduction to Big Data and Hadoop/11. HADOOP CLUSTER ARCHITECTURE.mp4
- 26.13 MB
2. Module 2 Introduction to Big Data and Hadoop/12. Top Reasons Why you should Learn Hadoop.mp4
- 61.11 MB
2. Module 2 Introduction to Big Data and Hadoop/13. Hadoop distributions and compatibilities.mp4
- 5.87 MB
2. Module 2 Introduction to Big Data and Hadoop/14. Hadoop Ecosystem in Detail.mp4
- 138.31 MB
2. Module 2 Introduction to Big Data and Hadoop/15. Hadoop Distributed File System.mp4
- 37.85 MB
2. Module 2 Introduction to Big Data and Hadoop/16. HDFS Files and Blocks.mp4
- 32.49 MB
2. Module 2 Introduction to Big Data and Hadoop/17. HDFS components and architecture.mp4
- 62.95 MB
2. Module 2 Introduction to Big Data and Hadoop/18. HDFS File Read and Write.mp4
- 92.59 MB
2. Module 2 Introduction to Big Data and Hadoop/1. Big Data Overview.mp4
- 23.18 MB
2. Module 2 Introduction to Big Data and Hadoop/2. Facts about Big Data.mp4
- 38.18 MB
2. Module 2 Introduction to Big Data and Hadoop/3. Big Data Scenarios.mp4
- 17.42 MB
2. Module 2 Introduction to Big Data and Hadoop/4. Apache Hadoop Framework.mp4
- 15.21 MB
2. Module 2 Introduction to Big Data and Hadoop/5. Top Hadoop Users.mp4
- 17.32 MB
2. Module 2 Introduction to Big Data and Hadoop/6. HISTORY OF HADOOP.mp4
- 13.75 MB
2. Module 2 Introduction to Big Data and Hadoop/7. Difference between RDBMS and Hadoop.mp4
- 9.87 MB
2. Module 2 Introduction to Big Data and Hadoop/8. Cluster Modes in Hadoop.mp4
- 7.75 MB
2. Module 2 Introduction to Big Data and Hadoop/9. Hadoop Ecosystem.mp4
- 41.76 MB
3. Module 3 Apache Spark Framework/10. Top Companies Using Spark.mp4
- 26.69 MB
3. Module 3 Apache Spark Framework/1. Batch and Real Time Analytics.mp4
- 34.01 MB
3. Module 3 Apache Spark Framework/2. Why Spark when Hadoop is Already there.mp4
- 12.51 MB
3. Module 3 Apache Spark Framework/3. Introduction to Apache Spark.mp4
- 26.96 MB
3. Module 3 Apache Spark Framework/4. Features of Apache Spark.mp4
- 19.65 MB
3. Module 3 Apache Spark Framework/5. Users and Use Cases of Apache Spark.mp4
- 49.68 MB
3. Module 3 Apache Spark Framework/6. Job Execution Flow and Spark Execution.mp4
- 5.61 MB
3. Module 3 Apache Spark Framework/7. Spark Unified Stack.mp4
- 54.92 MB
3. Module 3 Apache Spark Framework/8. Complete Picture of Apache Spark.mp4
- 20.02 MB
3. Module 3 Apache Spark Framework/9. Apache spark Architecture.mp4
- 32.32 MB
4. Module 4 Python Programming Language/10. Variables and assignment.mp4
- 137.27 MB
4. Module 4 Python Programming Language/11. Hands-On.mp4
- 156.7 MB
4. Module 4 Python Programming Language/12. Hands-On.mp4
- 98.46 MB
4. Module 4 Python Programming Language/13. Hands-On.mp4
- 161.77 MB
4. Module 4 Python Programming Language/14. Hands-On.mp4
- 138.52 MB
4. Module 4 Python Programming Language/15. Hands-On.mp4
- 34.11 MB
4. Module 4 Python Programming Language/1. Getting Started with Python.mp4
- 1.13 MB
4. Module 4 Python Programming Language/2. Introduction to Python.mp4
- 82.43 MB
4. Module 4 Python Programming Language/3. Advantages and facts about python.mp4
- 93.6 MB
4. Module 4 Python Programming Language/4. First python program.mp4
- 14.05 MB
4. Module 4 Python Programming Language/5. Program execution and python IDE.mp4
- 61.59 MB
4. Module 4 Python Programming Language/6. Built in types in python.mp4
- 34.04 MB
4. Module 4 Python Programming Language/7. Numbers Data Type in Python.mp4
- 52 MB
4. Module 4 Python Programming Language/8. String and List Data Type.mp4
- 139.61 MB
4. Module 4 Python Programming Language/9. Dictionary, Tuples and Sets.mp4
- 160.88 MB
5. Module 5 Advanced Part of Apache Spark with Python/10. Filtering RDD using an example.mp4
- 80.72 MB
5. Module 5 Advanced Part of Apache Spark with Python/11. Finding maximum temperature by location.mp4
- 30.37 MB
5. Module 5 Advanced Part of Apache Spark with Python/12. Map vs FlatMap.mp4
- 6.79 MB
5. Module 5 Advanced Part of Apache Spark with Python/13. Understanding FlatMap using Word Count example.mp4
- 59.36 MB
5. Module 5 Advanced Part of Apache Spark with Python/14. Sorting the word count results.mp4
- 40.15 MB
5. Module 5 Advanced Part of Apache Spark with Python/15. Total Amount Spent Example.mp4
- 47.11 MB
5. Module 5 Advanced Part of Apache Spark with Python/16. Sorting the Total Amount Spent Example result.mp4
- 20.96 MB
5. Module 5 Advanced Part of Apache Spark with Python/1. Downloading and Installing Enthought Canopy.mp4
- 18.76 MB
5. Module 5 Advanced Part of Apache Spark with Python/2. Downloading and Installing jdk.mp4
- 19.22 MB
5. Module 5 Advanced Part of Apache Spark with Python/3. Downloading and Installing Spark.mp4
- 23.39 MB
5. Module 5 Advanced Part of Apache Spark with Python/4. Downloading and Setup of winutils.mp4
- 9.16 MB
5. Module 5 Advanced Part of Apache Spark with Python/5. Setting up Environment Variables.mp4
- 17.65 MB
5. Module 5 Advanced Part of Apache Spark with Python/6. Running the first Spark Program.mp4
- 11.61 MB
5. Module 5 Advanced Part of Apache Spark with Python/7. Downloading and Extracting movie ratings datasets.mp4
- 15.13 MB
5. Module 5 Advanced Part of Apache Spark with Python/8. Running Ratings Counter Spark Program.mp4
- 33.43 MB
5. Module 5 Advanced Part of Apache Spark with Python/9. Understanding key value pairs with an example.mp4
- 66.64 MB
5. Module 5 Advanced Part of Apache Spark with Python/vz
- 0 Bytes
6. Module 6 Deep Dive Into Spark with Python/1. Most popular movie example.mp4
- 52.53 MB
6. Module 6 Deep Dive Into Spark with Python/2. Understanding Broadcast Variables with an example.mp4
- 78.45 MB
6. Module 6 Deep Dive Into Spark with Python/3. Finding Similar Movies Example.mp4
- 190.88 MB
6. Module 6 Deep Dive Into Spark with Python/4. Finding Most Popular Superhero example.mp4
- 99.49 MB
6. Module 6 Deep Dive Into Spark with Python/5. Superhero Degrees of Separation Part1.mp4
- 38.68 MB
6. Module 6 Deep Dive Into Spark with Python/6. Superhero Degrees of Separation Part 2.mp4
- 141.95 MB
7. Module 7 SparkSQL in Apache Spark with Python/1. Executing SQL commands.mp4
- 64.18 MB
7. Module 7 SparkSQL in Apache Spark with Python/2. Using SQL style functions instead of queries.mp4
- 26.44 MB
7. Module 7 SparkSQL in Apache Spark with Python/3. Using DataFrames instead of RDDs.mp4
- 65.26 MB
8. Module 8 MLib in Apache Spark with Python/1. Using MLlib to produce movie recommendations.mp4
- 101.33 MB
8. Module 8 MLib in Apache Spark with Python/2. Using Dataframe with MLlib using an example.mp4
- 132.38 MB
Torrent Description
Description:
A Complete Guide and Integration of Apache Spark Framework and Python Programming
Created by: Edulearners Technologies
Last updated: 2/2019
Language: English
Torrent Contains: 81 Files, 9 Folders
Course Source: https://www.udemy.com/learn-apache-spark-with-python/
What you'll learn
• Introduction to Pyspark
• Filtering RDDs
• Install and run Apache Spark on a desktop computer or on a cluster
• Understand how Spark SQL lets you work with structured data
• Understanding Spark with Examples and many more
Requirements
• Basic Knowledge of Big Data
• Basics of Java and OOPs
• Basic Computer Programming Terminologies
Description
Apache Spark is the hottest Big Data skill today. More and more organizations are adapting Apache Spark for building their big data processing and analytics applications and the demand for Apache Spark professionals is sky rocketing. Learning Apache Spark is a great vehicle to good jobs, better quality of work and the best remuneration packages.
You might already know Apache Spark as a fast and general engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing. It’s well-known for its speed, ease of use, generality and the ability to run virtually everywhere. And even though Spark is one of the most asked tools for data engineers, also data scientists can benefit from Spark when doing exploratory data analysis, feature extraction, supervised learning and model evaluation.
The course will cover many more topics of Apache Spark with Python including-
• What makes Spark a power tool of Big Data and Data Science?
• Learn the fundamentals of Spark including Resilient Distributed Datasets, Spark Actions and Transformations
• Explore Spark SQL with CSV, JSON and mySQL (JDBC) data sources
• Convenient links to download all source code
Who this course is for:
• Java Developers who want to upgrade their skills to light weight language python to handle Big data.
• Hadoop developers who want to learn a fast processing engine SPARK
• Python developers who want to upgrade their skills to handle and process Big data using Apache Spark.
• Any professionals or students who want to learn Big data.
A Complete Guide and Integration of Apache Spark Framework and Python Programming
Created by: Edulearners Technologies
Last updated: 2/2019
Language: English
Torrent Contains: 81 Files, 9 Folders
Course Source: https://www.udemy.com/learn-apache-spark-with-python/
What you'll learn
• Introduction to Pyspark
• Filtering RDDs
• Install and run Apache Spark on a desktop computer or on a cluster
• Understand how Spark SQL lets you work with structured data
• Understanding Spark with Examples and many more
Requirements
• Basic Knowledge of Big Data
• Basics of Java and OOPs
• Basic Computer Programming Terminologies
Description
Apache Spark is the hottest Big Data skill today. More and more organizations are adapting Apache Spark for building their big data processing and analytics applications and the demand for Apache Spark professionals is sky rocketing. Learning Apache Spark is a great vehicle to good jobs, better quality of work and the best remuneration packages.
You might already know Apache Spark as a fast and general engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing. It’s well-known for its speed, ease of use, generality and the ability to run virtually everywhere. And even though Spark is one of the most asked tools for data engineers, also data scientists can benefit from Spark when doing exploratory data analysis, feature extraction, supervised learning and model evaluation.
The course will cover many more topics of Apache Spark with Python including-
• What makes Spark a power tool of Big Data and Data Science?
• Learn the fundamentals of Spark including Resilient Distributed Datasets, Spark Actions and Transformations
• Explore Spark SQL with CSV, JSON and mySQL (JDBC) data sources
• Convenient links to download all source code
Who this course is for:
• Java Developers who want to upgrade their skills to light weight language python to handle Big data.
• Hadoop developers who want to learn a fast processing engine SPARK
• Python developers who want to upgrade their skills to handle and process Big data using Apache Spark.
• Any professionals or students who want to learn Big data.