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Handling large volumes of business data is challenging. You can collect data from various sources using multiple techniques. This data can be thoroughly analyzed to gain valuable insights that optimize… ETL processes often involve aggregating data from various sources into a data warehouse or data lake. Bucketing can be used during the transformation phase to aggregate data into predefined buckets
Google BigQuery – a fully managed Cloud Data Warehouse for analytics from Google Cloud Platform (GCP), is one of the most popular Cloud-based analytics solutions. Due to its unique architecture and seamless integration with other services from GCP, there are certain best practices to be considered while configuring Google BigQuery ETL (Extract, Transform, Load) & migrating data to BigQuery. This a
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