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[FreeCourseSite.com] Udemy - Databricks Fundamentals & Apache Spark Core

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视频 2022-3-21 18:05 2024-9-20 00:02 178 4.84 GB 71
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FreeCourseSite com Udemy - Databricks Fundamentals & Apache Spark Core

文件列表
  1. 01 - Setup/001 Introduction.mp432.53MB
  2. 01 - Setup/002 Create a Databricks community account.mp416.29MB
  3. 01 - Setup/003 Install the Dataset.mp418.57MB
  4. 01 - Setup/004 Overview of the dataset.mp433.62MB
  5. 01 - Setup/005 Install the notebooks.mp48.2MB
  6. 02 - Introduction to Databricks and Apache Spark/001 Introduction to databricks.mp415.55MB
  7. 02 - Introduction to Databricks and Apache Spark/002 Write your first Apache Spark Code.mp426.75MB
  8. 02 - Introduction to Databricks and Apache Spark/003 Apache Spark Architecture How Apache Spark runs on a cluster.mp4145.52MB
  9. 02 - Introduction to Databricks and Apache Spark/004 Practice Find customer with the same birthday as you.mp44.57MB
  10. 03 - The DataFrame API Basics/001 Create a DataFrame from a CSV file.mp416.6MB
  11. 03 - The DataFrame API Basics/002 Configure options to read a CSV file.mp436.78MB
  12. 03 - The DataFrame API Basics/003 How to select columns from a DataFrame.mp427.25MB
  13. 03 - The DataFrame API Basics/004 How to reference columns of a DataFrame.mp426.08MB
  14. 03 - The DataFrame API Basics/005 Understand the DataFrame Schema Part 1.mp45.9MB
  15. 03 - The DataFrame API Basics/006 Understand the DataFrame Schema Part 2.mp423.23MB
  16. 03 - The DataFrame API Basics/007 Specify a DataFrame Schema using a DDL-formatted string Part 1.mp411.96MB
  17. 03 - The DataFrame API Basics/008 Specify a DataFrame Schema using a DDL-formatted string Part 2.mp431.15MB
  18. 03 - The DataFrame API Basics/009 Spark Architecture The Organization of a DataFrame.mp430.9MB
  19. 04 - The DataFrame API Transforming Data/001 Adding columns to a DataFrame.mp442.5MB
  20. 04 - The DataFrame API Transforming Data/002 Renaming columns of a DataFrame.mp436.35MB
  21. 04 - The DataFrame API Transforming Data/003 Removing columns from a DataFrame.mp43.92MB
  22. 04 - The DataFrame API Transforming Data/004 Filtering rows from a DataFrame.mp450.05MB
  23. 04 - The DataFrame API Transforming Data/005 Joining multiple DataFrames Part 1.mp429.11MB
  24. 04 - The DataFrame API Transforming Data/006 Joining multiple DataFrames Part 2.mp464.93MB
  25. 04 - The DataFrame API Transforming Data/007 Aggregation Count.mp410.43MB
  26. 04 - The DataFrame API Transforming Data/008 Aggregation Count Distinct.mp45.91MB
  27. 04 - The DataFrame API Transforming Data/009 Aggregation Get the Min value.mp436.88MB
  28. 04 - The DataFrame API Transforming Data/010 Aggregation Get the Max value.mp44.61MB
  29. 04 - The DataFrame API Transforming Data/011 Aggregation Get the Sum and SumDistinct.mp421.51MB
  30. 04 - The DataFrame API Transforming Data/012 Aggregation Average and Mean.mp413.29MB
  31. 04 - The DataFrame API Transforming Data/013 Aggregation Grouping data - Part 1.mp412.57MB
  32. 04 - The DataFrame API Transforming Data/014 Aggregation Grouping data - Part 2.mp455.1MB
  33. 04 - The DataFrame API Transforming Data/015 Practice Business Query 1.mp4150.23MB
  34. 04 - The DataFrame API Transforming Data/016 Practice Business Query 2.mp4126.43MB
  35. 04 - The DataFrame API Transforming Data/017 Apache Spark Architecture How Apache Spark Transforms data Internally.mp4270.87MB
  36. 04 - The DataFrame API Transforming Data/018 User Defined Function.mp4140.13MB
  37. 05 - Spark SQL & SQL Fundamentals/001 Run SQL on a DataFrame TempView.mp495.26MB
  38. 05 - Spark SQL & SQL Fundamentals/002 Run SQL on a DataFrame GlobalView.mp444.38MB
  39. 05 - Spark SQL & SQL Fundamentals/003 Databases List, Create, Delete, Select.mp428.58MB
  40. 05 - Spark SQL & SQL Fundamentals/004 Tables Unmanaged.mp483.34MB
  41. 05 - Spark SQL & SQL Fundamentals/005 Tables Managed.mp4107.74MB
  42. 05 - Spark SQL & SQL Fundamentals/006 SQL Fundamentals Select Clause & Select Expression.mp4114.18MB
  43. 05 - Spark SQL & SQL Fundamentals/007 SQL Fundamentals Where Clause, Equality Checks.mp4111.9MB
  44. 05 - Spark SQL & SQL Fundamentals/008 SQL Fundamentals Handling NULLs in Where Clause.mp419.68MB
  45. 05 - Spark SQL & SQL Fundamentals/009 SQL Fundamentals Aggregations - Sum, Count, AVG, Mean.mp455.99MB
  46. 05 - Spark SQL & SQL Fundamentals/010 SQL Fundamentals Group By Clause.mp447.05MB
  47. 05 - Spark SQL & SQL Fundamentals/011 SQL Fundamentals Having Clause.mp485.81MB
  48. 05 - Spark SQL & SQL Fundamentals/012 SQL Fundamentals Order By Clause.mp421.31MB
  49. 05 - Spark SQL & SQL Fundamentals/013 SQL Fundamentals Inner Joins.mp444.71MB
  50. 05 - Spark SQL & SQL Fundamentals/014 SQL Fundamentals Left Outer Joins.mp471.31MB
  51. 05 - Spark SQL & SQL Fundamentals/015 SQL Fundamentals Right Outer Joins.mp447.06MB
  52. 05 - Spark SQL & SQL Fundamentals/016 SQL Fundamentals Predicates and Operators, like predicate.mp424.54MB
  53. 05 - Spark SQL & SQL Fundamentals/017 SQL Fundamentals Case Expressions.mp419.85MB
  54. 05 - Spark SQL & SQL Fundamentals/018 Practice Business Query 3.mp4160.28MB
  55. 05 - Spark SQL & SQL Fundamentals/019 Practice Business Query 4.mp4120.69MB
  56. 05 - Spark SQL & SQL Fundamentals/020 Practice Business Query 5.mp432.55MB
  57. 06 - Working with different type of data/001 Specify the Schema of a DataFrame with StructType.mp494.99MB
  58. 06 - Working with different type of data/002 Converting literals to Spark Types The lit function.mp448.37MB
  59. 06 - Working with different type of data/003 Working with booleans.mp475.96MB
  60. 06 - Working with different type of data/004 Working with numbers.mp4132.09MB
  61. 06 - Working with different type of data/005 Working with strings.mp4142.74MB
  62. 06 - Working with different type of data/006 Working with dates and timestamps.mp4273.67MB
  63. 06 - Working with different type of data/007 Complex Types Structs.mp493.19MB
  64. 06 - Working with different type of data/008 Complex Types Arrays.mp4115.9MB
  65. 06 - Working with different type of data/009 Complex Types Maps.mp440.36MB
  66. 06 - Working with different type of data/010 Handling NULL Values Drop NULL Values.mp4143.93MB
  67. 06 - Working with different type of data/011 Handling NULL Values Replace NULL Values.mp462.27MB
  68. 07 - Data Sources/001 DataFrameReader Read CSV Files.mp4294.34MB
  69. 07 - Data Sources/002 DataFrameReader Read JSON Files.mp4171.35MB
  70. 07 - Data Sources/003 DataFrameWriter Write Data.mp4324.03MB
  71. 07 - Data Sources/004 Create DataFrame manually.mp424.58MB
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