TCS Data Architect Interview Questions and Answers

Various data warehousing techniques include dimensional modeling, star schema, snowflake schema, and data vault.

• Dimensional modeling involves organizing data into facts and dimensions to facilitate easy querying and analysis.

• Star schema is a type of dimensional modeling where a central fact table is connected to multiple dimension tables.

• Snowflake schema is an extension of star schema where dimension tables are normali...read more

My analytics work has helped the organization make data-driven decisions, improve operational efficiency, and identify new opportunities for growth.

• Developed data models and algorithms to optimize business processes

• Generated insights from large datasets to drive strategic decision-making

• Identified trends and patterns to improve customer experience and retention

• Implemented data governance policies to ensure data quality

I would respond in various situations by remaining calm, assessing the situation, and providing a thoughtful and strategic solution.

• Remain calm and composed

• Assess the situation thoroughly

• Provide a thoughtful and strategic solution

• Communicate effectively with all parties involved

Both career and team are important, but ultimately career growth should be prioritized.

• Career growth is essential for personal development and achieving professional goals.

• A strong team can support career growth by providing mentorship, collaboration, and opportunities for learning.

• Balancing career and team dynamics is key to long-term success in any role.

The current project architecture is a microservices-based architecture with a combination of cloud and on-premise components.

• Utilizes Docker containers for microservices deployment

• Uses Kubernetes for container orchestration

• Includes a mix of AWS and on-premise servers for scalability and cost-efficiency

• Employs Apache Kafka for real-time data streaming

• Utilizes MongoDB for data storage and retrieval