(i) It cannot support modern technologies.
(ii) It requires all records in a file to be the same size.
(iii) Updating a record is difficult and time consuming.
(iv) It is time consuming to access records on a file.
(v) It cannot be used for high speed bulky record operations/ transactions.
OR
They are very inefficient and uneconomical for applications in which the activity ratio is very low.
Since an entire sequential file may need to be read just to retrieve and update few records, accumulation of transactions into batches is recommended before processing them. Hence, the use of sequential files is limited to a batch-processing environment.
Because of the need to accumulate transactions into batches before processing them, sequential processing precludes the possibility of up-to-the-minute data.
Sequential processing require the files to be sorted before processing i.e. both the transaction and master files must be sorted and placed in the same sequence before processing.
Sequential processing often leads to data redundancy problem, since the same data may be stored in several files sequenced on different keys.
maurice.mutuku answered the question on April 18, 2018 at 07:11
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