This series gives best practices on how to perform data cleansing and deduplication, sampling and desensitization in PostgreSQL.
This article explains how PostgreSQL supports triggers and rules to effectively convert string data into the types supported by PostgreSQL in real-time.
This article evaluates different duplicate data cleansing techniques while considering several technical database issues in PostgreSQL.
This article attempts to answer a series of questions raised in the Alibaba Cloud Community's Q&A section regarding the retrieval and deduplication of similar text in PostgreSQL.
This article describes the different PostgreSQL methods to remove duplicates and suggests how to choose the method that works best for users.
This article explains the method to rotate data using partition tables in polling mode while using truncate to clear partitions.
This article addresses all the frequently asked questions pertaining to batch update, insertion, and deletion in PostgreSQL.
This article explains the method that PostgreSQL uses to implement upsert for automatically separating new data from old data.
This article gives a quick walkthrough on how to perform data sampling in PostgreSQL using a comprehensive example.
This article introduces a new function of PostgreSQL 9.5 called Upsert (INSERT ON CONFLICT DO).
This article demonstrates how to use constraints and triggers for automatic cleaning and scheduling of PostgreSQL tables.
This article explores the compatibility between PostgreSQL and Oracle regarding the common test functions- data sampling and data desensitization.
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