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Big Data Analytics with Hive, Pig & MapReduce

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Big Data Analytics with Hive, Pig & MapReduce

Ce cours fait partie de Spécialisation "Hadoop Big Data Analytics & Projects Mastery"

Instructeur : EDUCBA

Inclus avec

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

9 heures à compléter

Planning flexible

Apprenez à votre propre rythme

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

9 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

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

Outils que vous découvrirez

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

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

15 devoirs

Enseigné en Anglais

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Ce cours fait partie de la Spécialisation "Hadoop Big Data Analytics & Projects Mastery"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable

Il y a 4 modules dans ce cours

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.

Détails du module

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.

Inclus

10 vidéos4 devoirs

10 vidéosTotal 65 minutes

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

4 devoirsTotal 60 minutes

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

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.

Inclus

4 vidéos3 devoirs

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.

Inclus

11 vidéos4 devoirs

11 vidéosTotal 90 minutes

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

4 devoirsTotal 60 minutes

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

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.

Inclus

12 vidéos4 devoirs

12 vidéosTotal 112 minutes

How to process XML File in PIG6 minutes
How to process XML File in PIG Continues8 minutes
Analyze Book Performance in XML File in PIG10 minutes
More on Analyze Book Performance in XML File in PIG10 minutes
Pig XML File Output Using Book9 minutes
Pig XML File Output Using Location10 minutes
Pig XML File Output Using Location Continues9 minutes
Understanding Complex Data Set Using Hive12 minutes
Understanding Complex Data Set Using Hive Continues10 minutes
Create Array in Map Reduce Using Hive10 minutes
Book Marking Type Data Set Using Complex Type9 minutes
Output of Book Marking Type Data Set10 minutes

4 devoirsTotal 60 minutes

XML Data Processing with Pig10 minutes
Pig Outputs and Data Exploration10 minutes
Complex Data Structures with Hive and MapReduce10 minutes
Social Media Insights with Pig and Hive30 minutes

Obtenez un certificat professionnel

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