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[FreeCoursesOnline.Me] PacktPub - Master Big Data Ingestion and Analytics with Flume, Sqoop, Hive and Spark [Video]

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视频 2020-6-12 03:52 2024-12-27 02:36 248 1.55 GB 68
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FreeCoursesOnline Me PacktPub - Master Big Data Ingestion and Analytics with Flume Sqoop Hive and Spark Video

文件列表
  1. 1 - Hadoop Introduction/01 - HDFS and Hadoop Commands.mp4110.45MB
  2. 2 - Sqoop Import/02 - Sqoop Introduction.mp4110.84MB
  3. 2 - Sqoop Import/03 - Managing Target Directories.mp439.65MB
  4. 2 - Sqoop Import/04 - Working with Different File Formats.mp417.24MB
  5. 2 - Sqoop Import/05 - Working with Different Compressions.mp422.96MB
  6. 2 - Sqoop Import/06 - Conditional Imports.mp417.94MB
  7. 2 - Sqoop Import/07 - Split-by and Boundary Queries.mp433.08MB
  8. 2 - Sqoop Import/08 - Field delimeters.mp413.43MB
  9. 2 - Sqoop Import/09 - Incremental Appends.mp412.44MB
  10. 2 - Sqoop Import/10 - Sqoop Hive Import.mp414.18MB
  11. 2 - Sqoop Import/11 - Sqoop List Tables_Database.mp410.53MB
  12. 2 - Sqoop Import/12 - Sqoop Import Practice1.mp420.04MB
  13. 2 - Sqoop Import/13 - Sqoop Import Practice2.mp417.82MB
  14. 2 - Sqoop Import/14 - Sqoop Import Practice3.mp414.98MB
  15. 3 - Sqoop Export/15 - Export from Hdfs to Mysql.mp444.13MB
  16. 3 - Sqoop Export/16 - Export from Hive to Mysql.mp410.67MB
  17. 4 - Apache Flume/17 - Flume Introduction & Architecture.mp49.94MB
  18. 4 - Apache Flume/18 - Exec Source and Logger Sink.mp414.8MB
  19. 4 - Apache Flume/19 - Moving data from Twitter to HDFS.mp434.25MB
  20. 4 - Apache Flume/20 - Moving data from NetCat to HDFS.mp416.6MB
  21. 4 - Apache Flume/21 - Flume Interceptors.mp45.7MB
  22. 4 - Apache Flume/22 - Flume Interceptor Example.mp418.92MB
  23. 4 - Apache Flume/23 - Flume Multi-Agent Flow.mp425.86MB
  24. 4 - Apache Flume/24 - Flume Consolidation.mp423.5MB
  25. 5 - Apache Hive/25 - Hive Introduction.mp413.76MB
  26. 5 - Apache Hive/26 - Hive Database.mp412.52MB
  27. 5 - Apache Hive/27 - Hive Managed Tables.mp425.56MB
  28. 5 - Apache Hive/28 - Hive External Tables.mp410.54MB
  29. 5 - Apache Hive/29 - Hive Inserts.mp421.6MB
  30. 5 - Apache Hive/30 - Hive Analytics.mp417.38MB
  31. 5 - Apache Hive/31 - Working with Parquet.mp413.33MB
  32. 5 - Apache Hive/32 - Compressing Parquet.mp419.14MB
  33. 5 - Apache Hive/33 - Working with Fixed File Format.mp411.24MB
  34. 5 - Apache Hive/34 - Alter Command.mp423.37MB
  35. 5 - Apache Hive/35 - Hive String Functions.mp425.13MB
  36. 5 - Apache Hive/36 - Hive Date Functions.mp420.95MB
  37. 5 - Apache Hive/37 - Hive Partitioning.mp426.54MB
  38. 5 - Apache Hive/38 - Hive Bucketing.mp414.72MB
  39. 6 - Spark Introduction/39 - Spark Introduction.mp416.32MB
  40. 6 - Spark Introduction/40 - Resilient Distributed Datasets.mp410.67MB
  41. 6 - Spark Introduction/41 - Cluster Overview.mp426.24MB
  42. 6 - Spark Introduction/42 - Directed Acyclic Graph (DAG) & Stages.mp438.09MB
  43. 7 - Spark Transformations & Actions/43 - Map_FlatMap Transformation.mp417.82MB
  44. 7 - Spark Transformations & Actions/44 - Filter_Intersection.mp416.87MB
  45. 7 - Spark Transformations & Actions/45 - Union_Distinct Transformation.mp410.68MB
  46. 7 - Spark Transformations & Actions/46 - GroupByKey_ Group people based on Birthday months.mp422.55MB
  47. 7 - Spark Transformations & Actions/47 - ReduceByKey _ Total Number of students in each Subject.mp427.24MB
  48. 7 - Spark Transformations & Actions/48 - SortByKey _ Sort students based on their rollno.mp424.3MB
  49. 7 - Spark Transformations & Actions/49 - MapPartition _ MapPartitionWithIndex.mp424.22MB
  50. 7 - Spark Transformations & Actions/50 - Change number of Partitions.mp415.48MB
  51. 7 - Spark Transformations & Actions/51 - Join _ Join email address based on customer name.mp412.98MB
  52. 7 - Spark Transformations & Actions/52 - Spark Actions.mp423.53MB
  53. 8 - Spark RDD Practice/53 - Scala Tuples.mp435.89MB
  54. 8 - Spark RDD Practice/54 - Extract Error Logs from log files.mp439.55MB
  55. 8 - Spark RDD Practice/55 - Frequency of word in Text File.mp432.66MB
  56. 8 - Spark RDD Practice/56 - Population of each City.mp415.22MB
  57. 8 - Spark RDD Practice/57 - Orders placed by Customers.mp435.66MB
  58. 8 - Spark RDD Practice/58 - Movie Average Rating greater than 3.mp427.1MB
  59. 9 - Spark Dataframes & Spark SQL/59 - Dataframe Intro.mp49.02MB
  60. 9 - Spark Dataframes & Spark SQL/60 - Dafaframe from Json Files.mp420.73MB
  61. 9 - Spark Dataframes & Spark SQL/61 - Dataframe from Parquet Files.mp47.31MB
  62. 9 - Spark Dataframes & Spark SQL/62 - Dataframe from CSV Files.mp431.81MB
  63. 9 - Spark Dataframes & Spark SQL/63 - Dataframe from Avro_XML Files.mp419.45MB
  64. 9 - Spark Dataframes & Spark SQL/64 - Working with Different Compressions.mp425.06MB
  65. 9 - Spark Dataframes & Spark SQL/65 - DataFrame API Part1.mp420.08MB
  66. 9 - Spark Dataframes & Spark SQL/66 - DataFrame API Part2.mp425.15MB
  67. 9 - Spark Dataframes & Spark SQL/67 - Spark SQL.mp418.42MB
  68. 9 - Spark Dataframes & Spark SQL/68 - Working with Hive Tables in Spark.mp418.44MB
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