Apache Hive Training Online

SKU: 2086
12 Lesson
|
30 Hours
Learn how to efficiently store, query, and analyze large datasets using Apache Hive with our comprehensive Hive Training. Our course covers important topics like data warehousing concepts, HiveQL, and integration with Hadoop to streamline big data processing and analytics.

Hive Course Overview

This course on Apache Hive provides a comprehensive overview of big data warehousing and analytics using one of the most widely adopted tools in the Hadoop ecosystem. The course spans data engineering, business intelligence, enterprise analytics, and large-scale data processing, covering the fundamentals of HiveQL, strategies to design efficient data warehouse schemas, approaches to optimize query performance, and methods to manage and analyze massive datasets with reliability and scale. In this course, you will learn from industry experts who have more than 15 years of experince in big data.

Prerequisites

What Will You Learn

  1. Introduction to Apache Hive
  2. Hive Architecture and Components
  3. Hive Installation and Configuration
  4. Hive Data Types
  5. Creating Databases and Tables
  6. Managed vs External Tables
  7. Partitioning and Bucketing
  8. Loading and Querying Data
  9. Updating and Deleting Data
  10. HiveQL Queries and Joins
  11. Subqueries and Views
  12. User Defined Functions (UDFs)
  13. Performance Optimization and Tuning
  14. Integration with HBase, Sqoop, and Flume
  15. Security, Authorization, and Data Governance

Key Features

Course Curriculum

1. Overview of Apache Hive
2. Role of Hive in Big Data Processing
3. Components of Hive
4. Hive vs Traditional RDBMS
1. Hive Components: Metastore, Driver, Compiler, Optimizer, Executor
2. Data Units: Databases, Tables, Partitions
3. Execution Flow in Hive
1. System Requirements
2. Installing Hive on Hadoop Cluster
3. Configuring Hive with Hadoop and Metastore
4. Verifying Installation
1. Primitive Data Types: INT, STRING, BOOLEAN, etc.
2. Complex Data Types: ARRAY, MAP, STRUCT
3. Handling NULL Values
1. Creating Databases and Tables
2. Managed vs External Tables
3. Partitioning and Bucketing
4. Creating Indexes
1. Loading Data into Tables
2. Querying Data: SELECT, WHERE, GROUP BY
3. Updating and Deleting Data
4. Insert Overwrite Operations
1. Basic Queries
2. Joins: INNER, LEFT, RIGHT, FULL
3. Subqueries and Views
4. User Defined Functions (UDFs)
1. ACID Transactions in Hive
2. Dynamic Partitioning
3. Custom MapReduce Scripts
4. Thrift Server for Remote Access
1. Query Optimization Techniques
2. Using Explain Plans
3. File Formats: ORC, Parquet, Avro
4. Compression Techniques
1. Authentication and Authorization
2. Apache Ranger Integration
3. Data Lineage with Apache Atlas
4. Auditing and Compliance
1. Hive and HDFS
2. Hive and HBase Integration
3. Using Apache Sqoop with Hive
4. Streaming Data into Hive with Apache Flume
1. Hive in Data Warehousing
2. Hive for ETL Processes
3. Case Studies from Industries: Finance, Healthcare, Retail
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Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 10 Jul 2026
  • Weekday Batch 13 Jul 2026
  • Weekend Batch 11 Jul 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Apache Hive Certification

igmGuru provides recognized course completion certificates for Apache Hive. These certificates have lifetime validity. To earn this certification, you need to enroll in the Hive Training course and successfully complete all modules and the final project. Our certification validates your knowledge and practical skills in Hive data warehousing, HiveQL development, and big data processing with Hadoop.

Apache Hive Certification

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