PostgreSQL Evangelist. [My Git](https://github.com/digoal/blog/blob/master/README.md)
FollowThis article discusses various pain points and technical solutions for precision marketing and group selection across multiple industries.
This article discusses the challenges in image recognition and demonstrates how ApsaraDB RDS for PostgreSQL solves these challenges.
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.
In this post, Digoal presents his predictions for what we'll see for PostgreSQL in 2020.
This post describes performance optimization methods to improve store operations by accelerating equivalent and range searches over PostgreSQL Arrays, JSON and Internal Tag Data.
This post outlines the design and performance of PostgreSQL Similarity Search and describes similarity searches for random texts and arrays to see how PostgreSQL standalone performs.
This post describes how PostgreSQL Image Search Plug-in helps to accelerate image-based searches and also highlights how PostgreSQL helps to screen out duplicate videos.
This article describes the application of PostgreSQL along with algorithms to extract keywords from a document for text (keyword) analysis.
This article provides an overview of the smlar plug-in and describes how it supports multiple similarity algorithms.
This post outlines different methods to find the similarity between documents in various scenarios and focuses on how different algorithms can be used to improve efficiency in such scenarios.
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