Comprehensive Hive - Itronix Solutions

Comprehensive Hive

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 Course Content

1. Introduction to Hive

  • What is Big data
  • What is Apache Hadoop
  • HDFS in Hadoop
  • Data Processing Framework In Hadoop
  • Hive Use cases @ Twitter
  • Hive vs Mapreduce
  • What is Hive
  • Advantages of hive
  • Hive Architecture

2. Hive Data Types and DDL

  • Hive Data Types
  • Hive QL
  • DDL on Databases
  • DDL on Tables
  • Different Tables in Hive
  • Different Tables in Hive Contd
  • Advanced DDL on tables
  • File Formats in Hive

3. Hive DML and HiveQL

  • DML – Loading Data in tables
    Managing Output
    Hive QL Queries
  • Operators and Functions in hive
  • Hive Clauses

4. Hive Queries and Views

  • Joins in Hive
  • Wordcount Example using Hive
  • Hive View
  • Clauses in Hive

5. Hive Indexing and Tuning

  • Hive Indexing
  • Indexing with Additional Properties
  • Tuning
  • Executive Hive Queries in Different Modes
  • Hadoop Tuning Parameters

6. Compression with Hive

  • Compression with Hive
  • Choosing a compression codec
  • Sequence Files
  • Sequence Files with Different Compression Types
  • Running Compression with Hive Queries

7. UDFs in Hive

  • Functions in Hive
  • Aggregation, Calling, table generating Functions
  • Different Kinds of UDFs
  • Creating and Calling UDFs in Hive
  • Hive UDAFs

8. Customizing Hive File and Record Formats

  • TextFile and Sequence File Formats
  • RCFile Format
  • CSV and JSON SerDe
  • Hive Avro SerDe

9. Hive Storage Handlers and NoSQL

  • Hive Storage Handlers
  • HBase
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