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8/23/2020Deduplicate Data | Google Cloud Dataprep DocumentationDeduplicate Data As part of your data cleansing steps, you might need to remove duplicate rows of data from your dataset.Validate Duplicate
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How to fill out deduplicate data google cloud

01
Log in to your Google Cloud Console.
02
Navigate to the project that contains the data you want to deduplicate.
03
Open BigQuery or Cloud Storage, depending on where your data is stored.
04
Use SQL queries to identify duplicate records. For example, utilize 'GROUP BY' and 'HAVING COUNT(*) > 1' to find duplicates.
05
Review the duplicates identified and determine which records you want to keep.
06
Create a new table or dataset to store the deduplicated data.
07
Insert the unique records into the new table using an 'INSERT INTO ... SELECT DISTINCT' query.
08
Verify the new table for accuracy and completeness of the data.
09
Delete the original table if no longer needed, or archive it for backup purposes.

Who needs deduplicate data google cloud?

01
Data analysts who need clean data for insights.
02
Data engineers managing large datasets.
03
Businesses aiming to improve data quality and avoid redundant information.
04
Developers needing accurate datasets for application development.
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Deduplicate data in Google Cloud refers to the process of identifying and removing duplicate records in a dataset to enhance data integrity and optimize storage.
Organizations and individuals utilizing Google Cloud services for data management are typically required to file or implement deduplication to maintain efficient data handling and meet compliance standards.
To fill out deduplicate data processes in Google Cloud, users can use tools like Google Cloud Dataflow or BigQuery. Steps include importing the dataset, applying deduplication logic by identifying unique keys, and exporting the cleaned dataset.
The purpose of deduplicating data in Google Cloud is to improve data quality, enhance performance, reduce storage costs, and ensure accurate analytics by eliminating redundant information.
The information that must be reported during deduplication includes the original dataset size, the number of duplicates found, the criteria used for deduplication, and the final size of the deduplicated dataset.
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