Which of the following database types would be best suited for storing unstructured audio and video data?

Question

BlackTom AI · Accepted Answer

HBase is a NoSQL wide-column store built on top of HDFS and designed for very large-scale, sparse, and schema-flexible data, so it is the best match among the choices for unstructured audio and video.

1) Relevant knowledge points and concepts
- Structured vs unstructured data: audio and video are unstructured (binary blobs, no fixed schema).  
- NoSQL wide-column stores (like HBase) are schema-flexible, scale horizontally, and handle high-throughput reads/writes.  
- HBase integrates with Hadoop/HDFS for distributed, fault-tolerant storage and with processing frameworks (MapReduce, Spark) for large media workflows.  
- Traditional SQL systems expect structured rows/columns and have scaling/BLOB limitations.

2) Step-by-step reasoning
- Audio/video are large binary objects that require distributed storage and scalable I/O.  
- Among the options, HBase (NoSQL) is explicitly designed for big data workloads and stores values as uninterpreted byte arrays or pointers to files on HDFS.  
- HBase + HDFS gives fault tolerance, horizontal scaling, and efficient batch/stream processing for multimedia analytics and retrieval.

3) Intermediate points/details
- HBase cells can store binary data or metadata; typical practice is to store large files in HDFS and store metadata/paths in HBase for efficient indexing and retrieval.  
- HBase handles millions of rows/columns and scales by adding region servers; SQL DBMSs struggle at this scale without major tuning or sharding.

4) Why HBase is correct
- HBase’s schema-less design, HDFS integration, horizontal scalability, and ability to store or reference large binary objects make it well-suited for unstructured audio/video datasets in big-data environments.

5) Why other options are incorrect
- SQL DBMS: optimized for structured relational data, limited scaling and inefficient for massive BLOB storage.  
- Open-source DBMS: too generic—could be many types (some unsuitable); not specific to big unstructured media.  
- Cloud-based database: too vague; some cloud services (object storage) are ideal, but “cloud-based database” is not a specific technology and may not imply scale/processing integration.  
- Distributed DBMS: generic term—while distribution helps, it doesn’t specify the NoSQL wide-column approach that fits multimedia at Hadoop scale.

6) Conclusion
HBase is the best choice from the list for storing unstructured audio and video, matching the provided correct answer: HBase.

Which of the following database types would be best suited for storing unstructured audio and video data? 单项选择题

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