.Final answer:
HBase is the Apache Hadoop component that can potentially replace an RDBMS as a large Hadoop datastore and is particularly good for sparse data.
Step-by-step explanation:
The Apache Hadoop component that can potentially replace an RDBMS as a large Hadoop datastore and is particularly good for sparse data is HBase.
HBase is a distributed, column-oriented database management system built on top of Hadoop, which provides random access to vast amounts of structured and semi-structured data. It is designed for high scalability and fault-tolerance and is well-suited for storing sparse data, where many cells in a table may be empty.
For example, in a traditional RDBMS, if a column has no value for a particular row, it still takes up space in the table. In HBase, the sparse nature of the data allows for efficient storage and retrieval, since only non-empty cells are stored