![]() ![]() With Hevo’s wide variety of connectors and blazing-fast Data Pipelines, you can extract & load data from 100+ Data Sources straight into your Data Warehouse or any Databases such as PostgreSQL. Hevo Data, a Fully-managed Data Pipeline platform, can help you automate, simplify & enrich your data replication process in a few clicks. PostgreSQL’s dedicated community of contributors and aficionados discovers bugs and patches on a regular basis, contributing to the general security of the database system. PostgreSQL’s source code is publicly available under an open-source license, letting you to use, edit, and adapt it as you see fit. ![]() PostgreSQL is used as the primary data storage or data warehouse in many internet, mobile, geospatial, and analytics applications. It’s a very dependable database management system that owes its high levels of robustness, integrity, and correctness to more than two decades of community labor. PostgreSQL is an open-source, high-performance relational database that supports both SQL (relational) and JSON (non-relational) querying. This article will walk you through some of the most efficient methods to convert timestamp to date PostgreSQL. To streamline this, PostgreSQL provides several functions that allow you to convert any given timestamp to date in an efficient manner. However, you may want to provide a timestamp and convert it to date. These functions can be used to convert a particular string to a date, or simply to get the current system date. PostgreSQL includes a number of functions for working with dates. Method 4 to Convert Timestamp to Date PostgreSQL: Using PostgreSQL’s Date Part Function.Method 3 to Convert Timestamp to Date PostgreSQL: Using PostgreSQL’s Extract Function.What Makes Hevo’s ETL Process Best-In-Class?.Method 2 to Convert Timestamp to Date PostgreSQL: Using the To_Char Function with the Now Function in PostgreSQL.Method 1 to Convert Timestamp to Date PostgreSQL: Using PostgreSQL’s Now Function.Methods to Convert Timestamp to Date PostgreSQL.Replicate Data in Minutes Using Hevo’s No-Code Data Pipeline. ![]()
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