Clustering is a method that involves grouping a set of objects based on their characteristics and their similarities. It is a technique of unsupervised learning and is common for statistical data analysis used in many fields. Data Clustering Models There are different ways to implement this partitioning. Each model uses distinct algorithms, differentiating by […]
Data normalization is a method in which data attributes of a data model are sorted to enhance the cohesion of entity types and to reduce and even eliminate data redundancy. Normalization of a relational database consists of applying a series of rules to avoid future queries or unnecessarily complex queries, to eliminate redundancies and inconsistencies […]
Some companies have long wondered what data scrambling is. Data scrambling is the process of deleting or obfuscating confidential data, a method that is normally carried out by database administrators who want to preserve the confidentiality of the data. This process is irreversible so that the original data cannot be obtained from the scrambled data. […]
Organizations have to analyze a higher volume of data every year and more companies seem to struggle to deal with this situation, so taking advantage of relevant data is crucial, not only to decrease costs but also to minimize risk and improve safety. Businesses need to be fully productive and reduce downtime to a minimum […]
Preventive database maintenance refers to critical tasks which are time and resource consuming, but essential for the health of your system, which includes both index rebuilds and database consistency verification. The purpose of a successful preventive maintenance schedule is to set consistent practices designed to enhance the performance and safety of the equipment at your […]
Most entrepreneurs who operate small businesses know how important information is in our digital age. Therefore, it is necessary to take the required steps to make sure their businesses have a reliable database. In order to reduce operating costs and improve efficiency, some companies consider outsourcing database functions to a vendor. Read on to find […]
Database mirroring is a configuration where two or three database servers are located, run on separate computers, and cooperate to keep copies of the database and log file of transactions. Both the primary server and the mirror server keep a copy of the database and the transaction log, while the third server, called a witness, […]
Whether your company runs on Oracle, Microsoft SQL Server, IBM Db2, MySQL, IBM Informix, PostgreSQL, or MongoDB, your database is a complex machine that relies on maintenance to function well. A health check is essential to identify problematic sections so you can enhance your database in the areas that aren’t operating at their fullest potential. […]
The overall performance of a database depends largely on its efficiency. Many factors can affect efficiency, including how indexes are used, how queries are structured, and how data is modeled. Consequently, making small tweaks to any of these elements can have a significant impact. This database performance guide will review the basics to help make […]
In our previous blog post, we discussed data governance and when it is needed (or not). Today, we’ re going to delve in deeper on the goals of data governance. Data Governance Goals Every structured system helps us organize how we think and communicate about complicated or ambiguous concepts. The use of a formal […]