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

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

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3.8 GB
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Files
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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.

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File list
  • [FTUForum.com] [UDEMY] Learn Apache Spark with Python [FTU]
  • 0. Websites you may like/How you can help Team-FTU.txt 237 B
  • 1. Module 1 Introduction to Spark with Python/1. Introduction to the Module.mp4 2.3 MB
  • 1. Module 1 Introduction to Spark with Python/2. What is PySpark.mp4 9.6 MB
  • 1. Module 1 Introduction to Spark with Python/3. PySpark in Industry.mp4 17.1 MB
  • 1. Module 1 Introduction to Spark with Python/4. Why to go for Python.mp4 4.9 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/1. Big Data Overview.mp4 23.2 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/10. HDFS Daemons and Mapreduce daemons.mp4 24.4 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/11. HADOOP CLUSTER ARCHITECTURE.mp4 26.1 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/12. Top Reasons Why you should Learn Hadoop.mp4 61.1 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/13. Hadoop distributions and compatibilities.mp4 5.9 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/14. Hadoop Ecosystem in Detail.mp4 138.3 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/15. Hadoop Distributed File System.mp4 37.8 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/16. HDFS Files and Blocks.mp4 32.5 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/17. HDFS components and architecture.mp4 62.9 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/18. HDFS File Read and Write.mp4 92.6 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/2. Facts about Big Data.mp4 38.2 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/3. Big Data Scenarios.mp4 17.4 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/4. Apache Hadoop Framework.mp4 15.2 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/5. Top Hadoop Users.mp4 17.3 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/6. HISTORY OF HADOOP.mp4 13.7 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/7. Difference between RDBMS and Hadoop.mp4 9.9 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/8. Cluster Modes in Hadoop.mp4 7.8 MB
  • 2. Module 2 Introduction to Big Data and Hadoop/9. Hadoop Ecosystem.mp4 41.8 MB
  • 3. Module 3 Apache Spark Framework/1. Batch and Real Time Analytics.mp4 34 MB
  • 3. Module 3 Apache Spark Framework/10. Top Companies Using Spark.mp4 26.7 MB
  • 3. Module 3 Apache Spark Framework/2. Why Spark when Hadoop is Already there.mp4 12.5 MB
  • 3. Module 3 Apache Spark Framework/3. Introduction to Apache Spark.mp4 27 MB
  • 3. Module 3 Apache Spark Framework/4. Features of Apache Spark.mp4 19.6 MB
  • 3. Module 3 Apache Spark Framework/5. Users and Use Cases of Apache Spark.mp4 49.7 MB
  • 3. Module 3 Apache Spark Framework/6. Job Execution Flow and Spark Execution.mp4 5.6 MB
  • 3. Module 3 Apache Spark Framework/7. Spark Unified Stack.mp4 54.9 MB
  • 3. Module 3 Apache Spark Framework/8. Complete Picture of Apache Spark.mp4 20 MB
  • 3. Module 3 Apache Spark Framework/9. Apache spark Architecture.mp4 32.3 MB
  • 4. Module 4 Python Programming Language/1. Getting Started with Python.mp4 1.1 MB
  • 4. Module 4 Python Programming Language/10. Variables and assignment.mp4 137.3 MB
  • 4. Module 4 Python Programming Language/11. Hands-On.mp4 156.7 MB
  • 4. Module 4 Python Programming Language/12. Hands-On.mp4 98.5 MB
  • 4. Module 4 Python Programming Language/13. Hands-On.mp4 161.8 MB
  • 4. Module 4 Python Programming Language/14. Hands-On.mp4 138.5 MB
  • 4. Module 4 Python Programming Language/15. Hands-On.mp4 34.1 MB
  • 4. Module 4 Python Programming Language/2. Introduction to Python.mp4 82.4 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 14.1 MB
  • 4. Module 4 Python Programming Language/5. Program execution and python IDE.mp4 61.6 MB
  • 4. Module 4 Python Programming Language/6. Built in types in python.mp4 34 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 139.6 MB
  • 4. Module 4 Python Programming Language/9. Dictionary, Tuples and Sets.mp4 160.9 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/1. Downloading and Installing Enthought Canopy.mp4 18.8 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/10. Filtering RDD using an example.mp4 80.7 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/11. Finding maximum temperature by location.mp4 30.4 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/12. Map vs FlatMap.mp4 6.8 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/13. Understanding FlatMap using Word Count example.mp4 59.4 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/14. Sorting the word count results.mp4 40.2 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/15. Total Amount Spent Example.mp4 47.1 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/16. Sorting the Total Amount Spent Example result.mp4 21 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/2. Downloading and Installing jdk.mp4 19.2 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/3. Downloading and Installing Spark.mp4 23.4 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/4. Downloading and Setup of winutils.mp4 9.2 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/5. Setting up Environment Variables.mp4 17.7 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/6. Running the first Spark Program.mp4 11.6 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/7. Downloading and Extracting movie ratings datasets.mp4 15.1 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/8. Running Ratings Counter Spark Program.mp4 33.4 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/9. Understanding key value pairs with an example.mp4 66.6 MB
  • 5. Module 5 Advanced Part of Apache Spark with Python/vz 0 B
  • 6. Module 6 Deep Dive Into Spark with Python/1. Most popular movie example.mp4 52.5 MB
  • 6. Module 6 Deep Dive Into Spark with Python/2. Understanding Broadcast Variables with an example.mp4 78.4 MB
  • 6. Module 6 Deep Dive Into Spark with Python/3. Finding Similar Movies Example.mp4 190.9 MB
  • 6. Module 6 Deep Dive Into Spark with Python/4. Finding Most Popular Superhero example.mp4 99.5 MB
  • 6. Module 6 Deep Dive Into Spark with Python/5. Superhero Degrees of Separation Part1.mp4 38.7 MB
  • 6. Module 6 Deep Dive Into Spark with Python/6. Superhero Degrees of Separation Part 2.mp4 142 MB
  • 7. Module 7 SparkSQL in Apache Spark with Python/1. Executing SQL commands.mp4 64.2 MB
  • 7. Module 7 SparkSQL in Apache Spark with Python/2. Using SQL style functions instead of queries.mp4 26.4 MB
  • 7. Module 7 SparkSQL in Apache Spark with Python/3. Using DataFrames instead of RDDs.mp4 65.3 MB
  • 8. Module 8 MLib in Apache Spark with Python/1. Using MLlib to produce movie recommendations.mp4 101.3 MB
  • 8. Module 8 MLib in Apache Spark with Python/2. Using Dataframe with MLlib using an example.mp4 132.4 MB

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