By the end of this course, learners will be able to design Hive databases, manage complex tables, process XML data with Pig, execute MapReduce jobs, and analyze large-scale social media datasets to extract meaningful insights. The course begins with foundational concepts of Hive, including databases, partitions, and bucketing, then advances into table optimization and constraints for schema design. Learners will gain practical experience in ingesting data with Sqoop, processing it using MapReduce, and applying location- and author-based analytics to real-world datasets. Finally, the course explores Pig scripting for XML processing and Hive complex data types for advanced bookmarking dataset analysis.
Big Data Analytics with Hive, Pig & MapReduce
您将学到什么
Design and optimize Hive databases for large datasets.
Process XML data and execute MapReduce and Pig scripts.
Apply analytics to real-world telecom and social data.
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
November 2025
作业
15 项作业
授课语言：英语（English）
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积累特定领域的专业知识
本课程是 Hadoop Big Data Analytics & Projects Mastery 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有4个模块
This module introduces Apache Hive and its role in the Hadoop ecosystem. Learners will explore Hive’s basic features, database commands, table operations, and foundational concepts like external tables, partitions, and bucketing. By the end, they will have a strong foundation to query and manage data effectively in Hadoop using Hive.
涵盖的内容
10个视频4个作业
This module dives deeper into advanced Hive functionality, including table constraints and complex table creation. Learners will understand how to design optimized tables and implement constraints to improve schema structure and maintainability in Hive.
涵盖的内容
4个视频3个作业
This module focuses on importing social media data into Hadoop, processing it with MapReduce, and analyzing it for insights. Learners will practice using Sqoop for RDBMS to HDFS transfers, run MapReduce programs, and analyze datasets by location, authors, and reader preferences.
涵盖的内容
11个视频4个作业
This module explores Pig and Hive for advanced social media analytics. Learners will process XML data with Pig, store and explore outputs, and utilize Hive complex data types with MapReduce for deep insights into bookmarking datasets and user interactions.
涵盖的内容
12个视频4个作业
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