HDFS Courses and Certifications

Learning PySpark

189 ratings at Udemy

Building and deploying data-intensive applications at scale using Python and Apache Spark

• Udemy
• 2 hours 29 minutes
• On-Demand
• Paid Course

Java Parallel Computation on Hadoop

115 ratings at Udemy

Learn to write real, working data-driven Java programs that can run in parallel on multiple machines by using Hadoop.

• Udemy
• 3 hours 3 minutes
• On-Demand
• Paid Course

Coursera

Azure Synapse SQL Pool - Implement Polybase

97 ratings at Coursera

Implement Polybase in Azure Synapse SQL Pool to query data stored in Azure Data Lake Storage using SQL. Learn to set up resources, configure Polybase, and execute SQL queries on external files.

• Coursera
• 1 hour 55 minutes
• On-Demand
• Paid Course

Apache Ranger : Fine-Grained Access Control

73 ratings at Udemy

Integrate Apache Ranger with Hive, HDFS, Presto, Tagsync from Apache Atlas etc

• Udemy
• 1 hour 55 minutes
• On-Demand
• Paid Course

Learn Big Data Hadoop: Hands-On for Beginner

48 ratings at Udemy

Big Data Engineering and Hadoop tutorial with Bigdata, Hadoop, HDFS, Yarn, MapReduce, Pig, Sqoop, and Flume

• Udemy
• 19 hours 12 minutes
• On-Demand
• Paid Course

Big Data, Hadoop, and Spark Basics

42 ratings at edX

This course provides foundational big data practitioner knowledge and analytical skills using popular big data tools, including Hadoop and Spark. Learn and practice your big data skills hands-on.

• edX
• 6 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Packt Microcredential

Big Data Foundations with Hadoop and Spark

15 ratings at Coursera

Master big data processing with Hadoop and Spark through hands-on projects covering HDFS, MapReduce, Spark Streaming, and Kafka integration for scalable data pipelines.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Coursera

Data Engineering: Pipelines, ETL, Hadoop

11 ratings at Coursera

Master data engineering: build robust pipelines, implement ETL processes, and handle large datasets with Hadoop. Gain expertise in extracting, transforming, and loading data for efficient processing and analysis.

• Coursera
• 3 hours 25 minutes
• On-Demand
• Paid Course

Big Data Processing with Hadoop and Spark

Unlock the power of Hadoop and Spark to process massive datasets efficiently through hands-on exercises with HDFS, MapReduce, and real-time analytics frameworks.

• Coursera
• 8 hours 46 minutes
• On-Demand
• Paid Course

Big Data Technologies

Dive into big data technologies, exploring Hadoop, Spark, NoSQL databases, and stream processing frameworks to effectively capture, store, and analyze massive datasets using modern cloud infrastructure.

• Coursera
• 4 days 1 hour 58 minutes
• On-Demand
• Paid Course

Big Data Analytics

Master Hadoop, Spark, and NoSQL technologies to process large-scale data, build ML applications, and derive actionable insights from high-volume streaming data for business advantage.

• Coursera
• 1 day 8 hours 13 minutes
• On-Demand
• Paid Course

Edureka

PySpark in Action: Hands-On Data Processing

Master PySpark for distributed data processing, from RDD basics to advanced DataFrame operations and SQL queries. Handle big data efficiently using hands-on exercises and real-world applications.

• Coursera
• 15 hours 11 minutes
• On-Demand
• Paid Course

Packt

The Ultimate Hands-On Hadoop

Master Hadoop ecosystem: install, program, manage clusters, and analyze big data using HDFS, MapReduce, Pig, Hive, Spark, and more. Gain practical skills for real-world data engineering challenges.

• Coursera
• 19 hours 47 minutes
• On-Demand
• Paid Course

Hadoop and Spark Fundamentals: Unit 1

Discover Apache Hadoop ecosystem fundamentals, install HDP sandbox, master HDFS architecture, and explore Spark analytics for scalable big data processing and management.

• Coursera
• 6 hours 20 minutes
• On-Demand
• Paid Course

Microcredential

Hadoop and Spark Fundamentals

Master big data analytics with hands-on Hadoop and Spark training, covering HDFS, MapReduce, PySpark, HiveQL, and cluster management using Ambari and Zeppelin interfaces.

• Coursera
• 4 weeks, 5 hours a week
• On-Demand
• Paid Course
• 3 courses