• Lesson.No : 16
  • 00:21:08
  • Ch.03-16 - Hadoop Filesystems and CLI Hadoop

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Course Lessons

  1. 1- Ch.03-01 Introduction To Distributed Systems Hadoop
  2. 2- Ch.03-02 Introduction To Distributed Systems Hadoop
  3. 3- Ch.03-03 Introduction To Hadoop
  4. 4- Ch.03-04 HDFS Hadoop
  5. 5- Ch.03-05 YARN Hadoop
  6. 6- Ch.03-06 - Map Reduce Hadoop
  7. 7- Ch.03-07 - Combiner Map Reduce Hadoop
  8. 8- Ch.03-08 - With vs Without Combiners Map Reduce Hadoop
  9. 9- Ch.03-09 - Inverted Index Map Reduce Hadoop
  10. 10- Ch.03-10 - Custom Writable Implementation Map Reduce Hadoop
  11. 11- Ch.03-11 - Custom Partitioner Map Reduce Hadoop
  12. 12- Ch.03-12 - Secondary Sort - Part 1 Map Reduce Hadoop
  13. 13- Ch.03-13 - Secondary Sort - Part 2 Map Reduce Hadoop
  14. 14- Ch.03-14 - Reduce Side Join Map Reduce Hadoop
  15. 15- Ch.03-15 -Map Side Join Map Reduce Hadoop
  16. 16- Ch.03-16 - Hadoop Filesystems and CLI Hadoop
  17. 17- Ch.03-17 - Anatomy of a File Read and Write HDFS Hadoop
  18. 18- Ch.03-18 - Introduction to Apache Hive Hive Hadoop
  19. 19- Ch.03-19- Apache Hive vs Traditional RDBMS Hive Hadoop
  20. 20- Ch.03-20- Apache Hive Architecture Hive Hadoop
  21. 21- Ch.03-21- Query Execution Flow Hive Hadoop
  22. 22- Ch.03-22- Table Format Hive Hadoop
  23. 23- Ch.03-23- Hive Database Hive Hadoop
  24. 24- Ch.03-24- Hive Tables Hive Hadoop
  25. 25- Ch.03-25- Hive Demo Hive Hadoop
  26. 26- Ch.04-01: Introduction to Apache Spark
  27. 27- Ch.04-02: Python Vs. Scala
  28. 28- Ch.04-03: Introduction to Apache Spark
  29. 29- Ch.04-04: About Databricks
  30. 30- Ch.04-05: Spark In The Data Platforms
  31. 31- Ch.04-06: Running Spark
  32. 32- Ch.04-07: Demo: Running Spark on Linux Ubuntu
  33. 33- Ch.04-08: Demo: Running Spark on MacOS
  34. 34- Ch.04-09: Demo: Running Spark on Windows
  35. 35- Ch.04-11: From Map Reduce To Spark
  36. 36- Ch.04-12: Spark Characteristics
  37. 37- Ch.04-13: Spark Applications
  38. 38- Ch.04-14: Spark Driver
  39. 39- Ch.04-15: Spark Session
  40. 40- Ch.04-16: Spark Cluster Manager
  41. 41- Ch.04-17: Spark Execution Mode
  42. 42- Ch.04-18: Spark Executors
  43. 43- Ch.04-19: Spark Data Partitioning
  44. 44- Ch.04-20: Spark Operations
  45. 45- Ch.04-21: Transformations Narrow Vs Wide
  46. 46- Ch.04-22: Demo: Immutability In Spark
  47. 47- Ch.04-23: Demo: RDD Text Manipulation
  48. 48- Ch.04-24: Demo: GroupByKey Vs. ReduceByKey
  49. 49- Ch.04-25: Demo: Joining RDDs
  50. 50- Ch.04-10: Demo: Running Spark on Databricks
  51. 51- Ch.04-26: Demo: Spark RDD APIs
  52. 52- Ch.04-27: Demo: Repartition Vs. Coalesce