Big Data with Hadoop Spark Scala Kafka
About Lesson
  • Introduction to hive
  • Hive Architecture
  • Components of Hive
  • Installation & configuration
  • Working with Tables.
  • Primitive data types and complex data type
  • Hive Bucketed Tables and Sampling.
  • Dynamic Partition
  • Differences between ORDER BY, DISTRIBUTE BY and SORT BY.
  • Bucketing and Sorted Bucketing with Dynamic partition.
  • RC File.
  • INDEXES and VIEWS.
  • MAPSIDE JOINS.
  • Compression on hive tables and Migrating Hive tables.
  • Dynamic substation of Hive and Different ways of running Hive
  • How to enable Update in HIVE.
  • Log Analysis on Hive.
  • Access HBASE tables using Hive.
  • Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
  • Meta store
  • Creating the table, Loading the datasets & performing analysis on that Datasets.
  • How to Capture Inserts, Updates and Deletes in Hive
  • Hue Interface for Hive
  • How to analyse data using Hive script