LoaderDataPlus (2). Tool for DBA (MariaDB, MySQL, Oracle, SQLServer, PostgreSQL, SQLite).
Download 1: https://1drv.ms/u/s!AknuXWlQ_7VUarliz...
LoaderDataPlus allows loading delimited flat files (CSV, TXT), validate and parsing columns to detect its data type: text or string, date, datetime, time, numeric (integer, float), and then generate syntax for bulk loading from flat files or using SQL language to populate a table in different DBMS, such as MariaDB, MySQL, Oracle, SQLServer, PostgreSQL, SQLite. This application complements DBMS administrative tools: HeidiSql, Sql Developer, Management Studio, PGadmin, SQLite Studio, and provides efficient support to database administrator in information exchange, big data and data warehouse process.
In this video you learn:
1- To display columns structure in detail
2- To change data type of columns
3- To reset original data type of columns
4- To apply improvements to data
Contact: LoaderDataPlus@gmail.com
Video links:
• LoaderDataPlus (1). Tool for DBA (MariaDB,...
• LoaderDataPlus (2). Tool for DBA (MariaDB,...
• LoaderDataPlus (3). Tool for DBA (MariaDB,...
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Translation to spanish:
LoaderDataPlus permite cargar archivos planos delimitados (CSV o TXT), validando y analizando las columnas para detectar su tipo de dato: texto o cadena, fecha, fecha-hora, hora, numérico (entero o flotante), para posteriormente generar la sintaxis correspondiente para realizar carga masiva desde archivos planos o mediante lenguaje de consultas SQL y así poblar una tabla en diferentes SGBD, como: MariaDB, MySQL, Oracle, SQLServer, PostgreSQL, SQLite. Esta aplicación complementa las herramientas administrativas de los DBMS: HeidiSql, Sql Developer, Management Studio, PGadmin, SQLite Studio, y le proporciona un apoyo eficiente al administrador de la base de datos en los procesos de intercambio de información, big data y bodegas de datos.
En este vídeo se aprenderá:
1- A desplegar la estructura de las columnas en detalle
2- A cambiar el tipo de dato de las columnas
3- A re-establecer el tipo de datos original de las columnas
4- Aplicar mejoras a los datos
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