Scenario: Your company needs to process large volumes of log data generated by IoT devices in real-time. What factors would you consider when selecting the appropriate pipeline architecture?
- Data freshness, Cost-effectiveness, Programming model flexibility, Data storage format
- Hardware specifications, User interface design, Data encryption, Data compression
- Message delivery guarantees, Operational complexity, Network bandwidth, Data privacy
- Scalability, Fault tolerance, Low latency, Data consistency
When selecting the appropriate pipeline architecture for processing IoT-generated log data in real-time, factors such as scalability, fault tolerance, low latency, and data consistency are crucial. Scalability ensures the system can handle increasing data volumes. Fault tolerance guarantees system reliability even in the face of failures. Low latency ensures timely processing of incoming data streams. Data consistency ensures the accuracy and integrity of processed data across the pipeline.
Loading...
Related Quiz
- A(n) ________ relationship in an ERD indicates that each instance of one entity can be associated with multiple instances of another entity.
- Which of the following is an example of a data quality metric?
- Scenario: A company needs to store and process large volumes of unstructured data, including text documents and multimedia files. Which NoSQL database would be most suitable for this use case?
- What is a stored procedure in the context of RDBMS?
- Scenario: A telecommunications company is experiencing challenges with storing and processing large volumes of streaming data from network devices. As a data engineer, how would you design a scalable and fault-tolerant storage architecture to address these challenges?