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Mastering Big Data Processing with Hortonworks

Mastering Big Data Processing with Hortonworks

$199.00
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Mastering Big Data Processing with Hortonworks

Mastering Big Data Processing with Hortonworks

This comprehensive course is designed to help you master the skills needed to process and analyze large datasets using Hortonworks. Upon completion, participants receive a certificate issued by The Art of Service.



Course Overview

This interactive and engaging course is designed to provide you with a comprehensive understanding of big data processing using Hortonworks. The course is personalized, up-to-date, and practical, with real-world applications and high-quality content.



Course Features

  • Interactive and engaging learning experience
  • Comprehensive and personalized course content
  • Up-to-date and practical information
  • Real-world applications and case studies
  • High-quality content and expert instructors
  • Certificate issued by The Art of Service upon completion
  • Flexible learning options and user-friendly interface
  • Mobile-accessible and community-driven
  • Actionable insights and hands-on projects
  • Bite-sized lessons and lifetime access
  • Gamification and progress tracking


Course Outline

Module 1: Introduction to Big Data and Hortonworks

  • Defining big data and its importance
  • Overview of Hortonworks and its ecosystem
  • Understanding the role of Hadoop in big data processing
  • Introduction to the Hortonworks Data Platform (HDP)

Module 2: Hadoop Fundamentals

  • Understanding Hadoop architecture and components
  • Working with Hadoop Distributed File System (HDFS)
  • MapReduce and YARN basics
  • Introduction to Hadoop data types and data models

Module 3: Data Ingestion and Processing

  • Data ingestion techniques and tools
  • Working with Apache NiFi and Apache Flume
  • Introduction to Apache Spark and Spark SQL
  • Processing data with Apache Hive and Apache Pig

Module 4: Data Storage and Management

  • Understanding data storage options in Hadoop
  • Working with Apache HBase and Apache Cassandra
  • Introduction to Apache Phoenix and Apache Impala
  • Data management best practices and security considerations

Module 5: Data Analytics and Visualization

  • Introduction to data analytics and visualization tools
  • Working with Apache Zeppelin and Apache Jupyter
  • Data visualization best practices and techniques
  • Introduction to machine learning and predictive analytics

Module 6: Security and Governance

  • Understanding security considerations in Hadoop
  • Working with Apache Knox and Apache Ranger
  • Introduction to data governance and compliance
  • Best practices for securing Hadoop clusters

Module 7: Performance Optimization and Troubleshooting

  • Understanding performance optimization techniques
  • Working with Apache Ambari and Apache Mesos
  • Introduction to troubleshooting and debugging techniques
  • Best practices for optimizing Hadoop cluster performance

Module 8: Advanced Topics and Use Cases

  • Introduction to advanced topics in Hadoop and big data
  • Working with Apache Flink and Apache Beam
  • Real-world use cases and case studies
  • Future directions and emerging trends in big data

Module 9: Final Project and Certification

  • Working on a final project to demonstrate skills
  • Preparing for the certification exam
  • Receiving a certificate issued by The Art of Service upon completion
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