HBase is a distributed, column-oriented NoSQL database built on top of HDFS. It is specifically designed for high-throughput, real-time random read and write access to massive, sparse datasets. While it can store binary data, it is not optimized for storing large, unstructured files (e.g., videos, large images, ISOs) directly in its cells. Storing large objects (megabytes or more) can severely degrade performance, particularly during region splits and data compactions. The standard architectural pattern is to store large files in HDFS and place a pointer or reference to the file's location in an HBase cell.

B: HBase is fundamentally designed for massive data scenarios, capable of scaling horizontally to manage petabytes of data across thousands of nodes.

C: HBase provides low-latency random reads and writes, making it an excellent choice for applications requiring high throughput and real-time data processing.

D: The dynamic, column-family-based schema of HBase is ideal for storing semi-structured and sparse data, where rows may have different columns.

1. Huawei HCIA-Big Data V2.0 Training Material (H13-711), Chapter 4: "Introduction to the Big Data Technology", Section: "HBase Principles". The material describes HBase as a database for real-time random access to massive structured and semi-structured data, distinguishing its role from HDFS, which is designed for storing large files.

2. George, L. (2015). HBase: The Definitive Guide, 2nd Edition. O'Reilly Media. Chapter 1, "Introduction", Section: "Where HBase Fits". The text explicitly states, "HBase is not a replacement for HDFS... If you have large binary files, for example, 100 MB images, you should store them in HDFS and put a pointer to the file in an HBase cell." (p. 12).

3. Huawei FusionInsight HD 6.5.1 Product Documentation, "Developer Guide > HBase Development Guide > Introduction to HBase > Application Scenarios". The documentation outlines that typical HBase scenarios include high-throughput writes, real-time queries on massive data, and storage of structured/semi-structured data. It does not list large file storage as a primary use case.