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I applied via Job Portal and was interviewed in Oct 2024. There was 1 interview round.
Cost optimization in Big Query involves optimizing query performance, storage usage, and data transfer costs.
Utilize partitioned tables to reduce query costs by scanning only relevant partitions
Use clustering to organize data within partitions and improve query performance
Optimize queries by using efficient SQL syntax and avoiding unnecessary operations
Leverage caching to reduce repeated query costs
Monitor and analyze ...
Various ways to ingest data in BigQuery include batch loading, streaming, and using third-party tools.
Batch loading: Uploading data in bulk using tools like Cloud Storage or Data Transfer Service.
Streaming: Sending data in real-time using APIs like Dataflow or Pub/Sub.
Third-party tools: Using tools like Talend or Informatica for data ingestion.
I applied via Recruitment Consultant and was interviewed before Jul 2020. There was 1 interview round.
based on 2 interviews
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