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

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视频 2019-6-7 01:46 2024-6-8 14:00 107 3.75 GB 74
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FTUForum com UDEMY Learn Apache Spark with Python FTU

文件列表
  1. 1. Module 1 Introduction to Spark with Python/1. Introduction to the Module.mp42.26MB
  2. 1. Module 1 Introduction to Spark with Python/2. What is PySpark.mp49.61MB
  3. 1. Module 1 Introduction to Spark with Python/3. PySpark in Industry.mp417.05MB
  4. 1. Module 1 Introduction to Spark with Python/4. Why to go for Python.mp44.86MB
  5. 2. Module 2 Introduction to Big Data and Hadoop/10. HDFS Daemons and Mapreduce daemons.mp424.39MB
  6. 2. Module 2 Introduction to Big Data and Hadoop/11. HADOOP CLUSTER ARCHITECTURE.mp426.13MB
  7. 2. Module 2 Introduction to Big Data and Hadoop/12. Top Reasons Why you should Learn Hadoop.mp461.11MB
  8. 2. Module 2 Introduction to Big Data and Hadoop/13. Hadoop distributions and compatibilities.mp45.87MB
  9. 2. Module 2 Introduction to Big Data and Hadoop/14. Hadoop Ecosystem in Detail.mp4138.31MB
  10. 2. Module 2 Introduction to Big Data and Hadoop/15. Hadoop Distributed File System.mp437.85MB
  11. 2. Module 2 Introduction to Big Data and Hadoop/16. HDFS Files and Blocks.mp432.49MB
  12. 2. Module 2 Introduction to Big Data and Hadoop/17. HDFS components and architecture.mp462.95MB
  13. 2. Module 2 Introduction to Big Data and Hadoop/18. HDFS File Read and Write.mp492.59MB
  14. 2. Module 2 Introduction to Big Data and Hadoop/1. Big Data Overview.mp423.18MB
  15. 2. Module 2 Introduction to Big Data and Hadoop/2. Facts about Big Data.mp438.18MB
  16. 2. Module 2 Introduction to Big Data and Hadoop/3. Big Data Scenarios.mp417.42MB
  17. 2. Module 2 Introduction to Big Data and Hadoop/4. Apache Hadoop Framework.mp415.21MB
  18. 2. Module 2 Introduction to Big Data and Hadoop/5. Top Hadoop Users.mp417.32MB
  19. 2. Module 2 Introduction to Big Data and Hadoop/6. HISTORY OF HADOOP.mp413.75MB
  20. 2. Module 2 Introduction to Big Data and Hadoop/7. Difference between RDBMS and Hadoop.mp49.87MB
  21. 2. Module 2 Introduction to Big Data and Hadoop/8. Cluster Modes in Hadoop.mp47.75MB
  22. 2. Module 2 Introduction to Big Data and Hadoop/9. Hadoop Ecosystem.mp441.76MB
  23. 3. Module 3 Apache Spark Framework/10. Top Companies Using Spark.mp426.69MB
  24. 3. Module 3 Apache Spark Framework/1. Batch and Real Time Analytics.mp434.01MB
  25. 3. Module 3 Apache Spark Framework/2. Why Spark when Hadoop is Already there.mp412.51MB
  26. 3. Module 3 Apache Spark Framework/3. Introduction to Apache Spark.mp426.96MB
  27. 3. Module 3 Apache Spark Framework/4. Features of Apache Spark.mp419.65MB
  28. 3. Module 3 Apache Spark Framework/5. Users and Use Cases of Apache Spark.mp449.68MB
  29. 3. Module 3 Apache Spark Framework/6. Job Execution Flow and Spark Execution.mp45.61MB
  30. 3. Module 3 Apache Spark Framework/7. Spark Unified Stack.mp454.92MB
  31. 3. Module 3 Apache Spark Framework/8. Complete Picture of Apache Spark.mp420.02MB
  32. 3. Module 3 Apache Spark Framework/9. Apache spark Architecture.mp432.32MB
  33. 4. Module 4 Python Programming Language/10. Variables and assignment.mp4137.27MB
  34. 4. Module 4 Python Programming Language/11. Hands-On.mp4156.7MB
  35. 4. Module 4 Python Programming Language/12. Hands-On.mp498.46MB
  36. 4. Module 4 Python Programming Language/13. Hands-On.mp4161.77MB
  37. 4. Module 4 Python Programming Language/14. Hands-On.mp4138.52MB
  38. 4. Module 4 Python Programming Language/15. Hands-On.mp434.11MB
  39. 4. Module 4 Python Programming Language/1. Getting Started with Python.mp41.13MB
  40. 4. Module 4 Python Programming Language/2. Introduction to Python.mp482.43MB
  41. 4. Module 4 Python Programming Language/3. Advantages and facts about python.mp493.6MB
  42. 4. Module 4 Python Programming Language/4. First python program.mp414.05MB
  43. 4. Module 4 Python Programming Language/5. Program execution and python IDE.mp461.59MB
  44. 4. Module 4 Python Programming Language/6. Built in types in python.mp434.04MB
  45. 4. Module 4 Python Programming Language/7. Numbers Data Type in Python.mp452MB
  46. 4. Module 4 Python Programming Language/8. String and List Data Type.mp4139.61MB
  47. 4. Module 4 Python Programming Language/9. Dictionary, Tuples and Sets.mp4160.88MB
  48. 5. Module 5 Advanced Part of Apache Spark with Python/10. Filtering RDD using an example.mp480.72MB
  49. 5. Module 5 Advanced Part of Apache Spark with Python/11. Finding maximum temperature by location.mp430.37MB
  50. 5. Module 5 Advanced Part of Apache Spark with Python/12. Map vs FlatMap.mp46.79MB
  51. 5. Module 5 Advanced Part of Apache Spark with Python/13. Understanding FlatMap using Word Count example.mp459.36MB
  52. 5. Module 5 Advanced Part of Apache Spark with Python/14. Sorting the word count results.mp440.15MB
  53. 5. Module 5 Advanced Part of Apache Spark with Python/15. Total Amount Spent Example.mp447.11MB
  54. 5. Module 5 Advanced Part of Apache Spark with Python/16. Sorting the Total Amount Spent Example result.mp420.96MB
  55. 5. Module 5 Advanced Part of Apache Spark with Python/1. Downloading and Installing Enthought Canopy.mp418.76MB
  56. 5. Module 5 Advanced Part of Apache Spark with Python/2. Downloading and Installing jdk.mp419.22MB
  57. 5. Module 5 Advanced Part of Apache Spark with Python/3. Downloading and Installing Spark.mp423.39MB
  58. 5. Module 5 Advanced Part of Apache Spark with Python/4. Downloading and Setup of winutils.mp49.16MB
  59. 5. Module 5 Advanced Part of Apache Spark with Python/5. Setting up Environment Variables.mp417.65MB
  60. 5. Module 5 Advanced Part of Apache Spark with Python/6. Running the first Spark Program.mp411.61MB
  61. 5. Module 5 Advanced Part of Apache Spark with Python/7. Downloading and Extracting movie ratings datasets.mp415.13MB
  62. 5. Module 5 Advanced Part of Apache Spark with Python/8. Running Ratings Counter Spark Program.mp433.43MB
  63. 5. Module 5 Advanced Part of Apache Spark with Python/9. Understanding key value pairs with an example.mp466.64MB
  64. 6. Module 6 Deep Dive Into Spark with Python/1. Most popular movie example.mp452.53MB
  65. 6. Module 6 Deep Dive Into Spark with Python/2. Understanding Broadcast Variables with an example.mp478.45MB
  66. 6. Module 6 Deep Dive Into Spark with Python/3. Finding Similar Movies Example.mp4190.88MB
  67. 6. Module 6 Deep Dive Into Spark with Python/4. Finding Most Popular Superhero example.mp499.49MB
  68. 6. Module 6 Deep Dive Into Spark with Python/5. Superhero Degrees of Separation Part1.mp438.68MB
  69. 6. Module 6 Deep Dive Into Spark with Python/6. Superhero Degrees of Separation Part 2.mp4141.95MB
  70. 7. Module 7 SparkSQL in Apache Spark with Python/1. Executing SQL commands.mp464.18MB
  71. 7. Module 7 SparkSQL in Apache Spark with Python/2. Using SQL style functions instead of queries.mp426.44MB
  72. 7. Module 7 SparkSQL in Apache Spark with Python/3. Using DataFrames instead of RDDs.mp465.26MB
  73. 8. Module 8 MLib in Apache Spark with Python/1. Using MLlib to produce movie recommendations.mp4101.33MB
  74. 8. Module 8 MLib in Apache Spark with Python/2. Using Dataframe with MLlib using an example.mp4132.38MB
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