What does the Big Data Processing with Hortonworks course cover?
Big Data Processing with Hortonworks is covered here in 9 modules: Introduction to Big Data and Hortonworks: Defining big data and its importance, Hadoop Fundamentals: MapReduce and YARN basics, Data Ingestion and Processing: Data ingestion techniques and tools and 6 more.
How do you approach Big Data Processing with Hortonworks step by step?
The work is sequenced in 9 stages. It starts with Introduction to Big Data and Hortonworks: Defining big data and its importance, moves through Hadoop Fundamentals: MapReduce and YARN basics and Data Ingestion and Processing: Data ingestion techniques and tools, and ends at Final Project and Certification: Preparing for the certification exam.
What is in Module 1 of the Big Data Processing with Hortonworks course?
Module 1 is Introduction to Big Data and Hortonworks: Defining big data and its importance. It works through defining big data and its importance, Overview of Hortonworks and its ecosystem, understanding the role of Hadoop in big data processing and 1 more. It sets the vocabulary the remaining 8 modules build on.
How is the Big Data Processing with Hortonworks course delivered?
The Big Data Processing with Hortonworks course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Big Data Processing with Hortonworks course cost?
The Big Data Processing with Hortonworks course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Big data processing in Big Data, Archival processes in Big Data, Process Modelling in Big Data, Digital Processes in Big Data.
More answers: what you get with every course, refund policy, all help answers.
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
- 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: MapReduce and YARN basics
- 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
- 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
- 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 tools
- 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: Working with Apache Knox and Apache Ranger
- 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: Working with Apache Ambari and Apache Mesos
- 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: Real-world use cases and case studies
- 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: Preparing for the certification exam
- Working on a final project to demonstrate skills
- Preparing for the certification exam
- Receiving a certificate issued by The Art of Service upon completion