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Big Data Analytics with Hive, Pig & MapReduce

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Big Data Analytics with Hive, Pig & MapReduce

Dieser Kurs ist Teil von Spezialisierung „Hadoop Big Data Analytics & Projects Mastery“

Dozent: EDUCBA

Bei enthalten

Mehr erfahren

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

9 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

9 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Data Analysis
Kategorie: Social Media Analytics
Kategorie: Analytics
Kategorie: Data Management
Kategorie: Data Processing
Kategorie: Extensible Languages and XML
Kategorie: Big Data
Kategorie: Data Import/Export
Kategorie: Database Design
Kategorie: Database Management
Kategorie: Data Integration

Werkzeuge, die Sie lernen werden

Kategorie: Database Management Systems
Kategorie: Apache Hadoop
Kategorie: Apache Hive
Kategorie: Extensible Markup Language (XML)

Wichtige Details

Zertifikat zur Vorlage

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Bewertungen

15 Aufgaben

Unterrichtet in Englisch

91%

of learners achieved a positive career outcome

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

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Dieser Kurs ist Teil der Spezialisierung Spezialisierung „Hadoop Big Data Analytics & Projects Mastery“

Wenn Sie sich für diesen Kurs anmelden, werden Sie auch für diese Spezialisierung angemeldet.

Lernen Sie neue Konzepte von Branchenexperten
Gewinnen Sie ein Grundverständnis bestimmter Themen oder Tools
Erwerben Sie berufsrelevante Kompetenzen durch praktische Projekte
Erwerben Sie ein Berufszertifikat zur Vorlage

In diesem Kurs gibt es 4 Module

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.

This course is unique because it combines two hands-on case studies: one from the telecom industry and another from social media analytics, offering a blend of foundational Hive knowledge and advanced Hadoop ecosystem tools. Designed for professionals, students, and data enthusiasts, the course emphasizes practical application over theory, ensuring learners can confidently apply big data technologies to solve real business problems.

Moduldetails

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.

Das ist alles enthalten

10 Videos4 Aufgaben

10 VideosInsgesamt 65 Minuten

Introduction of Hive8 Minuten
Simple and Complex Datatype in Hive9 Minuten
Clusters0 Minuten
Database Command in Hive12 Minuten
Tables Commands in Hive6 Minuten
Manage Tables6 Minuten
External Tables2 Minuten
Introduction to Partitioning7 Minuten
Partition Command7 Minuten
Bucketing8 Minuten

4 AufgabenInsgesamt 60 Minuten

Foundations of Hive and Big Data30 Minuten
Getting Started with Hive10 Minuten
Hive Database Essentials10 Minuten
Advanced Table Management in Hive10 Minuten

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.

Das ist alles enthalten

4 Videos3 Aufgaben

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.

Das ist alles enthalten

11 Videos4 Aufgaben

11 VideosInsgesamt 90 Minuten

Introduction to Social Media Industry9 Minuten
Book Marking Website8 Minuten
Book Marking Website Continues5 Minuten
Understanding Sqoop7 Minuten
Get Data from RDMS to HDFS9 Minuten
Execute Map Reduce Program in order to Process XML File12 Minuten
Analyze Book Performance By Reviews Using Code7 Minuten
Analyze Book Performance By Reviews Using Code Continues9 Minuten
Analyse Book By Location7 Minuten
Example of Analyse Book By Location7 Minuten
Analyse Book Reader Against Author10 Minuten

4 AufgabenInsgesamt 60 Minuten

Social Media Data Integration and Processing30 Minuten
Social Media Landscape and Data Ingestion10 Minuten
Processing Data with MapReduce10 Minuten
Location and Reader Analysis10 Minuten

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.