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种子名称： [FTUForum.com] [UDEMY] Learn Apache Spark with Python [FTU]
文件类型： 视频
文件数目： 74个文件
文件大小： 3.75 GB
收录时间： 2019-6-7 01:46
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最近下载： 2024-12-29 22:46

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

1. Module 1 Introduction to Spark with Python/1. Introduction to the Module.mp42.26MB

1. Module 1 Introduction to Spark with Python/2. What is PySpark.mp49.61MB

1. Module 1 Introduction to Spark with Python/3. PySpark in Industry.mp417.05MB

1. Module 1 Introduction to Spark with Python/4. Why to go for Python.mp44.86MB

2. Module 2 Introduction to Big Data and Hadoop/10. HDFS Daemons and Mapreduce daemons.mp424.39MB

2. Module 2 Introduction to Big Data and Hadoop/11. HADOOP CLUSTER ARCHITECTURE.mp426.13MB

2. Module 2 Introduction to Big Data and Hadoop/12. Top Reasons Why you should Learn Hadoop.mp461.11MB

2. Module 2 Introduction to Big Data and Hadoop/13. Hadoop distributions and compatibilities.mp45.87MB

2. Module 2 Introduction to Big Data and Hadoop/14. Hadoop Ecosystem in Detail.mp4138.31MB

2. Module 2 Introduction to Big Data and Hadoop/15. Hadoop Distributed File System.mp437.85MB

2. Module 2 Introduction to Big Data and Hadoop/16. HDFS Files and Blocks.mp432.49MB

2. Module 2 Introduction to Big Data and Hadoop/17. HDFS components and architecture.mp462.95MB

2. Module 2 Introduction to Big Data and Hadoop/18. HDFS File Read and Write.mp492.59MB

2. Module 2 Introduction to Big Data and Hadoop/1. Big Data Overview.mp423.18MB

2. Module 2 Introduction to Big Data and Hadoop/2. Facts about Big Data.mp438.18MB

2. Module 2 Introduction to Big Data and Hadoop/3. Big Data Scenarios.mp417.42MB

2. Module 2 Introduction to Big Data and Hadoop/4. Apache Hadoop Framework.mp415.21MB

2. Module 2 Introduction to Big Data and Hadoop/5. Top Hadoop Users.mp417.32MB

2. Module 2 Introduction to Big Data and Hadoop/6. HISTORY OF HADOOP.mp413.75MB

2. Module 2 Introduction to Big Data and Hadoop/7. Difference between RDBMS and Hadoop.mp49.87MB

2. Module 2 Introduction to Big Data and Hadoop/8. Cluster Modes in Hadoop.mp47.75MB

2. Module 2 Introduction to Big Data and Hadoop/9. Hadoop Ecosystem.mp441.76MB

3. Module 3 Apache Spark Framework/10. Top Companies Using Spark.mp426.69MB

3. Module 3 Apache Spark Framework/1. Batch and Real Time Analytics.mp434.01MB

3. Module 3 Apache Spark Framework/2. Why Spark when Hadoop is Already there.mp412.51MB

3. Module 3 Apache Spark Framework/3. Introduction to Apache Spark.mp426.96MB

3. Module 3 Apache Spark Framework/4. Features of Apache Spark.mp419.65MB

3. Module 3 Apache Spark Framework/5. Users and Use Cases of Apache Spark.mp449.68MB

3. Module 3 Apache Spark Framework/6. Job Execution Flow and Spark Execution.mp45.61MB

3. Module 3 Apache Spark Framework/7. Spark Unified Stack.mp454.92MB

3. Module 3 Apache Spark Framework/8. Complete Picture of Apache Spark.mp420.02MB

3. Module 3 Apache Spark Framework/9. Apache spark Architecture.mp432.32MB

4. Module 4 Python Programming Language/10. Variables and assignment.mp4137.27MB

4. Module 4 Python Programming Language/11. Hands-On.mp4156.7MB

4. Module 4 Python Programming Language/12. Hands-On.mp498.46MB

4. Module 4 Python Programming Language/13. Hands-On.mp4161.77MB

4. Module 4 Python Programming Language/14. Hands-On.mp4138.52MB

4. Module 4 Python Programming Language/15. Hands-On.mp434.11MB

4. Module 4 Python Programming Language/1. Getting Started with Python.mp41.13MB

4. Module 4 Python Programming Language/2. Introduction to Python.mp482.43MB

4. Module 4 Python Programming Language/3. Advantages and facts about python.mp493.6MB

4. Module 4 Python Programming Language/4. First python program.mp414.05MB

4. Module 4 Python Programming Language/5. Program execution and python IDE.mp461.59MB

4. Module 4 Python Programming Language/6. Built in types in python.mp434.04MB

4. Module 4 Python Programming Language/7. Numbers Data Type in Python.mp452MB

4. Module 4 Python Programming Language/8. String and List Data Type.mp4139.61MB

4. Module 4 Python Programming Language/9. Dictionary, Tuples and Sets.mp4160.88MB

5. Module 5 Advanced Part of Apache Spark with Python/10. Filtering RDD using an example.mp480.72MB

5. Module 5 Advanced Part of Apache Spark with Python/11. Finding maximum temperature by location.mp430.37MB

5. Module 5 Advanced Part of Apache Spark with Python/12. Map vs FlatMap.mp46.79MB

5. Module 5 Advanced Part of Apache Spark with Python/13. Understanding FlatMap using Word Count example.mp459.36MB

5. Module 5 Advanced Part of Apache Spark with Python/14. Sorting the word count results.mp440.15MB

5. Module 5 Advanced Part of Apache Spark with Python/15. Total Amount Spent Example.mp447.11MB

5. Module 5 Advanced Part of Apache Spark with Python/16. Sorting the Total Amount Spent Example result.mp420.96MB

5. Module 5 Advanced Part of Apache Spark with Python/1. Downloading and Installing Enthought Canopy.mp418.76MB

5. Module 5 Advanced Part of Apache Spark with Python/2. Downloading and Installing jdk.mp419.22MB

5. Module 5 Advanced Part of Apache Spark with Python/3. Downloading and Installing Spark.mp423.39MB

5. Module 5 Advanced Part of Apache Spark with Python/4. Downloading and Setup of winutils.mp49.16MB

5. Module 5 Advanced Part of Apache Spark with Python/5. Setting up Environment Variables.mp417.65MB

5. Module 5 Advanced Part of Apache Spark with Python/6. Running the first Spark Program.mp411.61MB

5. Module 5 Advanced Part of Apache Spark with Python/7. Downloading and Extracting movie ratings datasets.mp415.13MB

5. Module 5 Advanced Part of Apache Spark with Python/8. Running Ratings Counter Spark Program.mp433.43MB

5. Module 5 Advanced Part of Apache Spark with Python/9. Understanding key value pairs with an example.mp466.64MB

6. Module 6 Deep Dive Into Spark with Python/1. Most popular movie example.mp452.53MB

6. Module 6 Deep Dive Into Spark with Python/2. Understanding Broadcast Variables with an example.mp478.45MB

6. Module 6 Deep Dive Into Spark with Python/3. Finding Similar Movies Example.mp4190.88MB

6. Module 6 Deep Dive Into Spark with Python/4. Finding Most Popular Superhero example.mp499.49MB

6. Module 6 Deep Dive Into Spark with Python/5. Superhero Degrees of Separation Part1.mp438.68MB

6. Module 6 Deep Dive Into Spark with Python/6. Superhero Degrees of Separation Part 2.mp4141.95MB

7. Module 7 SparkSQL in Apache Spark with Python/1. Executing SQL commands.mp464.18MB

7. Module 7 SparkSQL in Apache Spark with Python/2. Using SQL style functions instead of queries.mp426.44MB

7. Module 7 SparkSQL in Apache Spark with Python/3. Using DataFrames instead of RDDs.mp465.26MB

8. Module 8 MLib in Apache Spark with Python/1. Using MLlib to produce movie recommendations.mp4101.33MB

8. Module 8 MLib in Apache Spark with Python/2. Using Dataframe with MLlib using an example.mp4132.38MB