Final answer:
One disadvantage to using CSV formatted data in a Hadoop data store is inefficient storage. Another disadvantage is the lack of human readability. CSV files can also pose a difficulty in processing for certain use cases.
Step-by-step explanation:
One disadvantage to using CSV formatted data in a Hadoop data store is inefficient storage. Since CSV files are text-based, they tend to occupy more storage space compared to other file formats, such as Parquet or Avro, which are optimized for efficient storage. Another disadvantage is the lack of human readability. CSV files are not easily readable by humans because they contain raw data separated by delimiter characters, making it difficult to interpret the data without proper tools. Although Hadoop is capable of processing CSV data, it can pose a difficulty in processing for certain use cases. Processing CSV files in Hadoop requires additional steps for parsing and handling the text-based data, which can slow down processing time. Therefore, the correct answer is: A. Inefficient storage