Answer-first summary for fast verification
Answer: Apache NiFi: An open-source tool designed for data integration and ETL processes, offering a user-friendly interface for designing and managing data flows.
**Correct Option:** B. Apache NiFi: This is the correct choice because Apache NiFi is specifically engineered for data integration and ETL processes. It provides capabilities for real-time data ingestion, transformation, and routing across diverse systems, making it ideal for the financial services company's requirements. Its user-friendly interface and support for data quality and compliance further justify its selection. **Incorrect Options:** A. Docker: Incorrect, as Docker is focused on containerizing applications for consistent operation across environments, not for data integration or ETL. C. Microsoft Word: Incorrect, since Microsoft Word lacks the functionality required for data integration or ETL tasks. D. Apache Hadoop: Incorrect, because while Hadoop is suitable for distributed storage and processing of large datasets, it is not specifically tailored for real-time ETL processes or ensuring data quality and compliance in the context described.
Author: LeetQuiz Editorial Team
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You are tasked with designing a data system for a financial services company that requires real-time data integration from multiple sources, including transactional databases, social media feeds, and IoT devices. The system must support complex ETL (Extract, Transform, Load) processes, ensure data quality, and comply with strict regulatory requirements. Which of the following tools is BEST suited for this scenario, and why? Choose the most appropriate option.
A
Docker: A platform for developing, shipping, and running applications in containers, ensuring consistency across environments.
B
Apache NiFi: An open-source tool designed for data integration and ETL processes, offering a user-friendly interface for designing and managing data flows.
C
Microsoft Word: A word processing application used for creating, editing, and formatting text documents.
D
Apache Hadoop: A framework for distributed storage and processing of large datasets, focusing on big data storage and processing.
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