Selecting the appropriate data processing services for your analysis
One of the most important steps in using data processing pipelines is selecting the data processing services that meet the requirements for your data. In particular, you need to pay attention to the following:
- Whether your computing engine can process the data with the fastest speed you can allow
- Whether your computing engine can process all your data without any errors
- Whether you can easily implement data processing
- Whether the resource of your computing engine can easily be scaled as the amount of data increases (for example, you can scale it without making any changes to your code)
For example, if your data processing service doesn’t have more memory capacity than your data, what does the computing engine do to your job? Having less memory capacity can cause out-of-memory (OOM) issues in your processing jobs and cause job failures. Even if you can process the data with that small...
