Big Data Testing Table of Contents

Table of Content

Introduction to Big Data Testing

  • Overview of Big Data
  • Importance of Testing in Big Data Projects
  • Challenges in Testing Big Data Applications

Big Data Technology Fundamentals

  • Hadoop Ecosystem
  • Apache Spark
  • NoSQL databases (e.g., MongoDB, Cassandra)
  • Apache Kafka

Big Data Testing Strategies

  • Testing approaches and methodologies
  • Test Planning for Big Data Projects
  • Data Validation and Integrity Testing
  • Performance Testing for Big Data Systems

Testing Tools for Big Data

  • Hadoop Testing Tools (e.g., HadoopUnit, MRUnit)
  • Spark Testing (e.g., SparkUnit, Spark-testing-base)
  • NoSQL Database Testing Tools
  • Data Ingestion Testing Tools

Data Quality and Data Governance in Big Data

  • Data Quality Assessment
  • Data Profiling and Cleansing
  • Metadata Management in Big Data

Security and Compliance Testing in Big Data

  • Security Testing in Big Data Environments
  • Compliance Testing and Regulatory Requirements

Performance and Scalability Testing

  • Load Testing
  • Stress Testing
  • Scalability Testing in Big Data Systems
  • Testing Data Processing Techniques
  • Batch Processing Testing
  • Real-time Data Processing Testing
  • ETL (Extract, Transform, Load) Testing

Fault Tolerance and Resilience Testing

  • Fault Injection Testing
  • Disaster Recovery Testing
  • High Availability Testing

Big Data Analytics and Visualization Testing

  • Testing Data Analytics Algorithms
  • Validation of Data Visualization Tools

Use of Automation in Big Data Testing

  • Test Automation Frameworks for Big Data
  • Scripting and Automated Testing Tools

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