After the data has been ingested, the next step in the pipeline is data processing. This involves transforming the ingested data into a format that is suitable for analysis or visualization. This step usually involves writing processing scripts, which are programs that perform various transformations on the data. For example, a processing script may clean the netherlands whatsapp number data data, filter it, aggregate it, or apply more complex transformations like machine learning algorithms.
Create Docker Images
After writing your processing scripts, you will need to package them into Docker images. By packaging your processing scripts into Docker images, you can easily deploy and run them in your Kubernetes cluster.
Deploy Processing Pods
The final step in the data processing phase is to deploy your processing pods. These pods are responsible for running your processing scripts and transforming the ingested data. You can deploy your processing pods using kubectl. Once your processing pods are running, they will start processing the ingested data based on the logic in your processing scripts.