HDFS Courses and Certifications

EDUCBA

Hadoop: Analyze, Configure & Manage Big Data

Master Big Data challenges through Hadoop architecture, HDFS configuration, MapReduce programming, and advanced cluster management with hands-on Java integration and enterprise operations.

• Coursera
• 16 hours 27 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Hadoop & Big Data Foundations Mastery Course

Master Hadoop ecosystem with HDFS, MapReduce, Hive, Pig, and NoSQL databases through hands-on projects using Cloudera, Oozie, and Mahout for enterprise Big Data solutions.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

EDUCBA

Big Data Analytics with Hive, Pig & MapReduce

Master Hive, Pig & MapReduce for big data analytics through hands-on telecom and social media case studies, covering database design, XML processing, and large-scale dataset analysis.

• Coursera
• 9 hours 20 minutes
• Self-Paced
• Paid Course

EDUCBA

Hadoop Projects: Analyze Big Data with Hive & Pig

Master real-world Big Data analysis through hands-on Hadoop projects using HDFS, Hive, Pig, and MapReduce to extract business insights from customer, health, traffic, and loan datasets.

• Coursera
• 10 hours 51 minutes
• Self-Paced
• Paid Course

Hadoop and Spark Fundamentals: Unit 3

Master essential Hadoop and Spark tools including HDFS data ingestion, Hive tables, Apache Flume streaming, Sqoop database connections, and cluster management with Ambari.

• Coursera
• 7 hours 30 minutes
• Self-Paced
• Paid Course

EDUCBA

Apache Pig: Analyze, Transform & Optimize Data

Master Apache Pig fundamentals, operators, and advanced scripting to efficiently analyze, transform, and optimize big data workflows in the Hadoop ecosystem.

• Coursera
• 7 hours 22 minutes
• Self-Paced
• Paid Course

EDUCBA

Hadoop Projects: Analyze & Optimize Big Data

Master Hadoop's distributed ecosystem through hands-on projects analyzing log data, sales analytics, tourism surveys, and e-commerce performance using MapReduce, Pig, and Hive.

• Coursera
• 9 hours 54 minutes
• Self-Paced
• Paid Course

EDUCBA

Master Sqoop for Data Transfer in Hadoop Ecosystems

Discover Apache Sqoop for seamless MySQL-HDFS data transfers, incremental loading, Hive integration, and production-ready data pipeline workflows in Hadoop ecosystems.

• Coursera
• 5 hours 16 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze and Implement Apache HBase for Big Data Storage

Master Apache HBase architecture, data model, and operations for scalable big data storage within the Hadoop ecosystem through hands-on practice and real-world applications.

• Coursera
• 3 hours 54 minutes
• Self-Paced
• Paid Course

Big Data Hadoop - The Complete Course

940 ratings at Udemy

Learn BIG DATA HADOOP Hands-on from Global Experts - Apache Hadoop, HDFS, Map Reduce, YARN, Hive, PIG, Impala, Scoop

• Udemy
• 11 hours 34 minutes
• Self-Paced
• Paid Course

Hadoop Basic Course for Beginners to Professionals

574 ratings at Udemy

Getting Started with Hadoop: An open source framework to handle Big data

• Udemy
• 2 hours 33 minutes
• Self-Paced
• Free Online Course

Practical Guide to setup Hadoop and Spark Cluster using CDH

538 ratings at Udemy

Step by step instructions to setup Hadoop and Spark Cluster using Cloudera Distribution of Hadoop (Formerly CCA 131)

• Udemy
• 20 hours 56 minutes
• Self-Paced
• Paid Course

Big data and Hadoop framework

510 ratings at Udemy

Big data applications, Hadoop Architecture , Data lake, data science and scientist, Demo

• Udemy
• 1 hour 12 minutes
• Self-Paced
• Free Online Course

Big Data: Hadoop| MapReduce| Hive| Pig| NoSQL| Mahout| Oozie

497 ratings at Udemy

Learn Hadoop, HDFS, MapReduce, Hive, Pig, NoSQL, Mahout, Oozie, Flume, Storm, Avro, Spark, Projects and Case studies.

• Udemy
• 2 days 19 hours 57 minutes
• Self-Paced
• Paid Course

PySpark Project- End to End Real Time Project Implementation

495 ratings at Udemy

Implement PySpark Real Time Project. Learn Spark Coding Framework. Transform yourself into Experienced PySpark Developer

• Udemy
• 14 hours 49 minutes
• Self-Paced
• Paid Course