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Udemy | Learn Apache Spark with Python [FTU] TGx Exclusive

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Language:

English

Total Size:

3.75 GB

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f1ab66648fef8125da22f2879b98894d1c2dc112

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Prom3th3uS :_blocked:

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04-06-2019 23:51

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1,006

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File	Size
0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url	328.00 B
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0. Websites you may like/How you can help Team-FTU.txt	237.00 B
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/1. Big Data Overview.mp4	23.18 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/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/1. Batch and Real Time Analytics.mp4	34.01 MB
3. Module 3 Apache Spark Framework/10. Top Companies Using Spark.mp4	26.69 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/1. Getting Started with Python.mp4	1.13 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	156.70 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/2. Introduction to Python.mp4	82.43 MB
4. Module 4 Python Programming Language/3. Advantages and facts about python.mp4	93.60 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	52.00 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/1. Downloading and Installing Enthought Canopy.mp4	18.76 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/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	0.00 B
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

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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