Hello,
Thank you for contacting Google Cloud Community!
You can definitely convert (extract) events_ data into tables in Google Cloud Platform (GCP) without resorting to Azure Data Factory. Here are two effective methods using Dataflow Jobs:
Method 1: Cloud Dataflow with Apache Beam:
- Define a Cloud Storage source in your Dataflow job configuration. This source will point to the location of your events_ data files (e.g., JSON, CSV).
- Create an Apache Beam pipeline within your Dataflow job.
- Use io.ReadFromText (for text files) or io.ReadFromAvro (for Avro files) to read the events_ data from Cloud Storage.
- You can use libraries like pandas or custom logic within your Beam pipeline to parse and manipulate the data as needed.
- Use io.WriteToBigQuery to write the processed data to a BigQuery table you define. Define schema information for the BigQuery table to ensure appropriate data types and formatting.
Method 2: Cloud Dataflow with Pub/Sub:
- If your events_ data is already streamed to a Pub/Sub topic, configure your Dataflow job to use the Pub/Sub topic as the source.
- Similar to Method 1, create a Beam pipeline within your Dataflow job.
- Use io.ReadFromPubSub to read the events_ data from the Pub/Sub topic.
- Follow steps 4 and 5 from Method 1 to parse the data and write it to a BigQuery table.
Regards,
Jai Ade
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