What are the Challenges of Using Apache Spark in Nanotechnology?
While Apache Spark offers numerous advantages, it also presents some challenges:
Complexity: Setting up and managing Spark clusters can be complex and may require specialized knowledge. Resource Intensive: Spark's in-memory processing can be resource-intensive, necessitating substantial hardware resources. Data Preprocessing: Preparing nanotechnology datasets for analysis in Spark can be time-consuming and may require significant preprocessing.
