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Apache Hive Training

Live Online & Classroom Enterprise Training

Introduces Hive as a data warehouse tool built on Hadoop. Covers SQL-based querying, schema management, and data summarization for big data analytics.

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What is Apache Hive Training about?

Apache Hive is a powerful data warehouse system that simplifies querying and analyzing massive datasets stored in Hadoop Distributed File System (HDFS). It provides a SQL-like interface (HiveQL) that enables users to perform data summarization, analysis, and querying without deep programming knowledge. This course covers the fundamentals of Hive architecture, HiveQL queries, partitioning, bucketing, and performance optimization. Learners will gain hands-on experience in integrating Hive with Hadoop and other Big Data ecosystems to drive scalable analytics solutions.

What are the objectives of Apache Hive Training ?

  • Understand Hive architecture and its role in the Hadoop ecosystem. 
  • Write and execute HiveQL queries for data analysis. 
  • Implement partitioning and bucketing for optimized queries. 
  • Work with user-defined functions (UDFs) in Hive. 
  • Integrate Hive with Hadoop and other Big Data tools.

Who is Apache Hive Training for?

  • Data Engineers and Developers working with Big Data. 
  • Analysts and BI professionals handling large datasets. 
  • Hadoop Administrators managing distributed data systems. 
  • Data Scientists exploring Hadoop-based analytics. 
  • Students and professionals starting careers in Big Data.

What are the prerequisites for Apache Hive Training?

Prerequisites:  

  • Basic knowledge of SQL. 
  • Familiarity with Hadoop and distributed systems. 
  • Understanding of data warehousing concepts. 
  • Experience with Linux/Unix commands (helpful). 
  • Interest in Big Data analytics and processing. 

Learning Path: 

  • Introduction to Hive and Its Architecture 
  • HiveQL Basics – Queries, Joins, and Aggregations 
  • Partitioning, Bucketing, and Optimization Techniques 
  • Working with UDFs and Advanced Hive Features 
  • Integrating Hive with Hadoop and Big Data Ecosystems 

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Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

  • Introduction Hive & Course
  • Hive Architecture & Installation Steps of Hive with Mysql
  • Basic Hive QL for CRUD Operation
  • Data Ingestion ways in Hive
  • Different File Format in hive
  • Serdes in Hive
  • Compression Technique in Hive
  • Partition in Hive Static / Dynamic
  • Bucketing in Hive & HQL clauses
  • ACID property / Update Record in hive table
  • Window Function in Hive & Sampling Data
  • Materialized View New functionality in Hive
  • Joins in Hive
  • Performance Technique Logics in Hive Join Query
  • Make Hive Query Execute Fast, Performance Technique
  • Hive Performance Techniques for real time projects
  • Live Project Use Case

Who is the instructor for this training?

The trainer for this Apache Hive Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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