36 Hrs
3251+ Enrollments
Hadoop Testing Training
The Hadoop Testing Training course is designed to help you understand the nuances of testing Hadoop applications. You will learn how to test various components of the Hadoop ecosystem, including HDFS, MapReduce, Hive, Pig, and HBase. Our experienced instructors will guide you through the process of creating test plans, executing tests, and reporting results.
Hadoop Testing Training
Overview of Course
Learn the best practices for Hadoop testing with our comprehensive Hadoop Testing Training course. This course will equip you with the skills and knowledge required to effectively test Hadoop applications, ensuring their accuracy, reliability, and performance.
Course Highlights
Hands-on training with real-world examples
Comprehensive curriculum covering all aspects of Hadoop testing
Flexible learning options with self-paced online and instructor-led virtual training
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Trusted by over 100+ Fortune 500 Companies
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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World Class Learning Infrastructure
Our learning platform provides leading virtual training labs & instances
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Enterprise Grade Data Protection
Security & privacy are an integral part of our training ethos
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Understanding of Hadoop architecture
Proficiency in testing Hadoop components
Ability to create test plans and execute tests
Knowledge of Hadoop testing best practices
Experience with Hadoop testing tools
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- Limitations & Solutions of Big Data Architecture
- Hadoop & its Features
- Hadoop Ecosystem
- Hadoop 2.x Core Components
- Hadoop Storage: HDFS (Hadoop Distributed File System)
- Hadoop Processing: MapReduce Framework
- Different Hadoop Distributions
- Federation and High Availability Architecture
- Typical Production Hadoop Cluster
- Hadoop Cluster Modes
- Common Hadoop Shell Commands
- Hadoop 2.x Configuration Files
- Single Node Cluster & Multi-Node Cluster set up
- Basic Hadoop Administration
- Anatomy of MapReduce Program
- Input Splits, Relation between Input Splits and HDFS Blocks
- MapReduce: Combiner & Partitioner
- Demo of Health Care Dataset
- Demo of Weather Dataset
- MapReduce vs Pig
- Pig Components & Pig Execution
- Pig Data Types & Data Models in Pig
- Pig Latin Programs
- Shell and Utility Commands
- Pig UDF & Pig Streaming
- Testing Pig scripts with Punit
- Aviation use-case in PIG
- Pig Demo of Healthcare Dataset
- Hive vs Pig
- Hive Architecture and Components
- Hive Metastore
- Limitations of Hive
- Comparison with Traditional Database
- Hive Data Types and Data Models
- Hive Partition
- Hive Bucketing
- Hive Tables (Managed Tables and External Tables)Importing Data
- Querying Data & Managing Outputs
- Hive Script & Hive UDF
- Retail use case in Hive
- Hive Demo on Healthcare Dataset
- Hive QL: Joining Tables, Dynamic Partitioning
- Apache HBase: Introduction to NoSQL Databases and HBase
- HBase v/s RDBMS
- HBase Components
- HBase Architecture
- HBase Run Modes
- HBase Configuration
- HBase Cluster Deployment
- Oozie Components
- Oozie Workflow
- Scheduling Jobs with Oozie Scheduler
- Demo of Oozie Workflow
- Oozie Coordinator
- Oozie Commands
- Oozie Web Console
- Oozie for MapReduce
- Combining flow of MapReduce Jobs
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Software testers
- Quality assurance professionals
- Hadoop developers
- Big Data professionals
Prerequisite:
- Basic knowledge of Hadoop and its ecosystem
- Understanding of software testing fundamentals
Benefits of the course:
- Enhanced understanding of Hadoop testing
- Improved testing skills
- Confidence in testing Hadoop applications
- Ability to identify and fix defects
- Better job prospects and career growth opportunities
Exam details to pass the course:
- There is no exam to pass the course.
- However, you will be evaluated based on your performance in the hands-on exercises and assignments.
Certification path:
- There is no specific certification path for this course.
- However, you can take certification exams offered by Cloudera, Hortonworks, or MapR to demonstrate your proficiency in Hadoop and its ecosystem.
Career options:
- Software tester
- Quality assurance analyst
- Hadoop tester
- Big Data tester
- Hadoop developer
Why should you take this course from Skillzcafe:
Expert instructors with real-world experience- Comprehensive curriculum covering all aspects of Hadoop testing
- Hands-on training with real-world examples
- Interactive sessions with Q&A support
- Flexible learning options with self-paced online and instructor-led virtual training
FAQs
The duration is 36 hours.
Basic knowledge of Hadoop and its ecosystem is recommended to get the most out of this course.
Basic knowledge of Hadoop and software testing fundamentals is recommended.
Yes, you will receive a certificate of completion after successfully completing the course and all its requirements.
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