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

Apply for Certification

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