Learners will be able to design Hive databases and tables, implement partitions and bucketing, apply joins, configure SerDe, create custom UDFs, and optimize queries for efficient big data processing. By the end of the course, participants will not only understand Hive fundamentals but also apply advanced operations such as indexing, views, Slowly Changing Dimensions (SCDs), XML data handling, variable substitution, and performance tuning.
Apache Hive: Design, Query & Optimize Big Data
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Apache Hive: Design, Query & Optimize Big Data
This course is part of Hadoop & Big Data Foundations Mastery Course Specialization
Instructor: EDUCBA
Included with 
Gain insight into a topic and learn the fundamentals.
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Design and manage Hive databases, tables, and partitions.
Implement joins, UDFs, and SerDe for data transformation.
Optimize queries and tune performance for big data workflows.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
November 2025
Assessments
25 assignments
Taught in English
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This course is part of the Hadoop & Big Data Foundations Mastery Course Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
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There are 5 modules in this course
This module introduces Apache Hive and its core fundamentals, including databases, tables, partitions, and bucketing. Learners will explore how Hive enables SQL-like queries on Hadoop, manage datasets, and apply key commands for efficient data handling.
What's included
13 videos5 assignments
This module focuses on Hive joins, serialization and deserialization (SerDe), and user-defined functions (UDFs). Learners will practice how to extend HiveQL functionality and apply advanced data transformation techniques.
What's included
12 videos5 assignments
This module covers Hive operations, functions, and expressions, along with advanced partitioning strategies. Learners will gain hands-on experience with sorting, joins, alter commands, and table sampling for data optimization.
What's included
12 videos5 assignments
This module explores Hive views, indexing techniques, and configuration of Hive variables. Learners will learn to create reusable query structures, apply compact and bitmap indexes, and configure variable substitution for query optimization.
What's included
12 videos5 assignments
This module introduces Hive’s internal architecture, execution modes, and advanced features. Learners will explore SCDs, XML data handling, immutable tables, compression techniques, and performance configurations.
What's included
23 videos5 assignments
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