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Big Data Testing Certification Training

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Reviews 4.9 (4.6k+)
Rated 4.7 out of 5

Learners : 1080

Duration :  25 Days

About Course

🌐 Big Data Testing Online Training

Big Data Testing focuses on validating large volumes of structured and unstructured data processed using big data technologies like Hadoop, Spark, and data lakes. It ensures data accuracy, completeness, and performance across distributed systems. With the rapid growth of data-driven organizations, professionals skilled in Big Data Testing are in high demand for roles in data engineering, analytics, and QA.

This course provides in-depth, hands-on experience in testing big data pipelines, validating ETL processes, working with Hadoop ecosystems, and ensuring data quality in real-time scenarios.

🚀 Its Core Capabilities Include:

Big Data Validation:
Validate large-scale data across distributed systems.
Hadoop & Spark Testing:
Work with HDFS, MapReduce, and Spark processing.
ETL Testing:
Validate data extraction, transformation, and loading.
Data Integrity & Quality:
Ensure consistency, completeness, and accuracy.
Performance Testing:
Test large data volumes and system scalability.
Data Pipeline Testing:
Validate end-to-end data flow across systems.
Automation in Big Data Testing:
Use tools and scripts for automated validation.

📍 Bonus: Certification Tracks

  • Big Data Testing Associate Certification
  • Big Data Testing Developer Certification
  • Big Data Testing Application Developer Certification
  • Big Data Testing Expert Certification (Viswa Online Trainings)

Big Data Testing Training Course Syllabus

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Big Data Testing Course Key Features

Course completion certificate

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Big Data Testing Online Training FAQ'S

What is Big Data Testing?
  • Big Data Testing ensures that large volumes of data processed in distributed systems are accurate, consistent, and reliable.
What are the 3Vs of Big Data?
  • Volume (large data size)
  • Velocity (fast data processing)
  • Variety (different data types)
What is Hadoop in Big Data Testing?
  • Hadoop is a framework used to store and process large datasets across distributed systems using HDFS and MapReduce.
What is ETL Testing in Big Data?
  • It validates data extraction, transformation, and loading across big data pipelines.

What is data validation in Big Data?
  • It ensures data accuracy, completeness, and consistency between source and target systems.

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