Question

Illustrate some demerits of using Spark.

a. No support for real-time processing
b. No data security features
c. Expensive
d. Poor support for unstructured data

Answer 1

The demerits of using Spark include a lack of support for real-time processing, no data security features, high cost, and poor support for unstructured data.

Step-by-step explanation:

Demerits of using Spark:

1. No support for real-time processing: Spark is primarily designed for batch processing, making it less suitable for real-time applications that require immediate processing and response.
2. No data security features: Spark lacks built-in security features, making it vulnerable to data breaches and unauthorized access.
3. Expensive: The cost of using Spark can be significant, especially when scaling to handle large datasets and complex computations.
4. Poor support for unstructured data: Spark is more suited for structured data, and it can be challenging to process and analyze unstructured data efficiently.