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.
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您将学到什么
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.
您将获得的技能
要了解的详细信息

添加到您的领英档案
November 2025
25 项作业
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该课程共有5个模块
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.
涵盖的内容
13个视频5个作业
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.
涵盖的内容
12个视频5个作业
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.
涵盖的内容
12个视频5个作业
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.
涵盖的内容
12个视频5个作业
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.
涵盖的内容
23个视频5个作业
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