The expression “garbage, garbage out” emphasizes the need for thorough testing in any Big Data and analytics implementation. Big Data testing means ensuring the correctness and completeness of voluminous, often heterogeneous, data as it moves across different stages—ingestion, storage, analytics, and visualization—producing actionable insights. What should be our testing focus? Which of the 4 V’s—variety, volume, velocity, and veracity—are most important at which stage? For example, in the ingestion stage, testing needs to focus on variety of data rather than volume. As the data moves on...Learn More
Jaya Bhagavathi Bhallamudi
A senior consultant in the assurance services unit of Tata Consultancy Services, Jaya Bhagavathi Bhallamudi heads the Big Data and Analytics Assurance Center of Excellence, which focuses on R&D, test process definitions, test automation solution development, and competency development on Big Data technologies. Jaya has been in the test automation, testing services, and solutions innovation space for fifteen of her seventeen years in IT. She enjoys building test automation frameworks and accelerators for various testing services. Contact Jaya at [email protected] or on LinkedIn.