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How To Create a New User and Grant Permissions in MySQL. What the Red Means The lines that the user needs to enter or customize will be in red in this tutorial!

How To Create a New User and Grant Permissions in MySQL

The rest should mostly be copy-and-pastable. About MySQL MySQL is an open source database management software that helps users store, organize, and later retrieve data. It has a variety of options to grant specific users nuanced permissions within the tables and databases—this tutorial will give a short overview of a few of the many options. How to Create a New User In Part 1 of the MySQL Tutorial, we did all of the editing in MySQL as the root user, with full access to all of the databases. Let’s start by making a new user within the MySQL shell: CREATE USER 'newuser'@'localhost' IDENTIFIED BY 'password'; Sadly, at this point newuser has no permissions to do anything with the databases.

Therefore, the first thing to do is to provide the user with access to the information they will need. GRANT ALL PRIVILEGES ON * . * TO 'newuser'@'localhost'; Your changes will now be in effect. quit. 3.3.3 Loading Data into a Table. 3.3.3 Loading Data into a Table After creating your table, you need to populate it.

3.3.3 Loading Data into a Table

The LOAD DATA and INSERT statements are useful for this. Suppose that your pet records can be described as shown here. SQL Tutorial - Learn SQL Query Programming Language. SQL (Structured Query Language) is a computer language aimed to store, manipulate, and query data stored in relational databases.

SQL Tutorial - Learn SQL Query Programming Language

The first incarnation of SQL appeared in 1974, when a group in IBM developed the first prototype of a relational database. The first commercial relational database was released by Relational Software (later becoming Oracle). Standards for SQL exist. However, the SQL that can be used on each one of the major RDBMS today is in different flavors. This is due to two reasons: 1) the SQL command standard is fairly complex, and it is not practical to implement the entire standard, and 2) each database vendor needs a way to differentiate its product from others. This SQL programming help site lists commonly-used SQL statements, and is divided into the following sections: For each command, the SQL syntax will first be presented and explained, followed by an example.

Although it is a good idea to go through this tutorial in the above order, it is not required. PouchDB, the JavaScript Database that Syncs! TaffyDB - The JavaScript Database. Louischatriot/nedb. PhpMyAdmin. Aide mémoire SQL. MySQL. MySQL Documentation: MySQL Reference Manuals. MySQL Documentation MySQL 5.7Reference Manual MySQL 5.7Release Notes Browse MySQL Documentation by: Product Topic General Tutorial Server Administration SQL Syntax InnoDB Storage Engine Alternative Storage Engines Server Option / Variable Reference MySQL Release Notes MySQL Version Reference FAQs Administrator Guides Installation & Upgrades MySQL Yum Repository A Quick Guide to Using the MySQL Yum Repository A Quick Guide to Using the MySQL APT Repository A Quick Guide to Using the MySQL SLES Repository Installation Using Unbreakable Linux Network (ULN) MySQL Installer Security Startup / Shutdown Backup and Recovery Overview Linux/Unix Platform Guide Windows Platform Guide OS X Platform Guide Solaris Platform Guide Building from Source Developers & Functionality MySQL Workbench Globalization Optimization Functions and Operators Views and Stored Programs Partitioning Precision Math Information Schema Performance Schema Spatial Extensions Restrictions and Limitations HA/Scalability.

MySQL Documentation: MySQL Reference Manuals

SQLite Home Page. PostgreSQL 9.4.0 - Documentation. MariaDB. The MongoDB 2.6 Manual — MongoDB Manual 2.6.7. Apache CouchDB. The Apache Cassandra Project. NoSQL : arrêtons de dire n’importe quoi.

J’ai regardé le mouvement NoSQL évoluer au fil des années.

NoSQL : arrêtons de dire n’importe quoi

On y retrouve à peu près tout ce qui fait l’informatique depuis que le monde IT est monde : brillance et troll, hype et génie, utile et gadget, buzz et fact, sam et max, etc. De plus on peut mettre n’importe quoi sous le label NoSQL, et du coup ça a été fait. En fait un fichier est déjà une base de données NoSQL :) Mais rant mise à part, des projets comme redis, riak, elastic search ou mongodb changent vraiment la donne. Malheureusement, tout comme d’autres technos du moment (prog asychrone, tout-http, pre-processeurs, generateurs…), les gens ont tendance à l’utiliser comme la barre de fer, la silver bullet, le passe-partout, le tournevis sonique, bref, le truc à tout faire. L’embarras du choix - Comment choisir la bonne plate-forme pour Big Data / Hadoop ? Cette année, le big data est devenu un sujet pertinent dans beaucoup d’entreprises.

L’embarras du choix - Comment choisir la bonne plate-forme pour Big Data / Hadoop ?

Bien qu'il n’y ait pas de définition standard du terme “big data”, Hadoop est de facto un standard pour le traitement big data. Presque tous les grands éditeurs de logiciels tels que IBM, Oracle, SAP et même Microsoft utilisent Hadoop. Cependant une fois que vous avez choisi d’utiliser Hadoop, la première question à se poser est de savoir comment débuter et quel produit choisir pour vos traitements big data. Plusieurs alternatives existent pour installer une version d’Hadoop et réaliser des traitements de ces données. Cet article présente ces différentes alternatives et recommande à quel moment les utiliser. Alternatives de plates-formes Hadoop L’illustration suivante montre différentes alternatives de plates-formes Hadoop. Dans le paragraphe qui suit, nous nous attarderons sur les différentes alternatives en commençant par Apache Hadoop.

Apache Hadoop.