Databases

Database transaction models are sets of properties which guarantee validity of data in a database. ACID and BASE are the most common among them. This article describes and compares the two models and offers advice on which one to choose.

Redis is an open-source solution for data storage, most often used as a database, cache storage, or a message broker. This tutorial covers different ways to install, configure, and uninstall Redis on Mac.

MySQL is a well-known, free and open-source database application. One of the most crucial processes in MySQL is creating tables and databases. Follow this tutorial to learn how to create a table in MySQL and insert data.

A data warehouse is a complex system that stores historical and cumulative data used for forcasting, reporting, and data analysis. Learn about the data warehouse architecture and the components found in the system.

Apache Hive is a data warehousing tool used to perform queries and analyze structured data in Apache Hadoop. Use this clear-cut tutorial to learn how to create tables in Hive.

Redis is used as a database, cache storage, and message broker thanks to its ability to store key-value pairs. This tutorial covers different ways to clear Redis cache and delete key-value pairs.

This tutorial shows you how to configure Nginx reverse proxy for Kibana. It shows you the simplest way to secure your Kibana through configuring Nginx. Set up your Kibana to allow access only to authorized password-protected users.

The article covers seven basic Redis Data Types, including HyperLogLogs and Bitmaps. Each data type is presented using practical and to the point commands.

An index is an integral part of MySQL, helping with organizing and searching information more easily. This guide explains how to add an index to new and existing tables, as well as how you can display an existing index.

Want to learn more about HDFS? This guide explains what the Hadoop Distributed File System is, how it works, and when to use it. If you need an effective solution for big data, HDFS and Hadoop could be the answer.