Every organization that handles large volumes of data requires a database management system (DBMS). The person or group of people in charge of managing, supervising, and ensuring the proper use of the data within a DBMS are the database administrators or DBA. These systems allow companies to manage vast amounts of data in an efficient […]
Big data management is a general concept that includes the governance, organization, design, management, policies, procedures, and technology used for large volumes of structured and unstructured data. It can combine data cleansing, integration, migration, and preparation for reporting and analytics. The purpose of big data management is to guarantee data quality of the highest level […]
Both in large and small organizations, DBAs are under pressure to comply with the sudden changes in database technology while ensuring the best performance and stability for their entire environment. Even though the challenges they face are radical, there are new perspectives on the benefits of managing multi-platform database systems. More Databases Types Due to […]
The Health Insurance Portability and Accountability Act (HIPAA) sets the standard for sensitive patient data protection that companies who deal with protected health information (PHI) must comply with. DBA Role In order to comply with the HIPAA regulations, DBAs must secure the confidentiality and integrity of all electronic PHI data, whether the information is located […]
A database meets different business objectives: Keeping a history of the relationship with your current and past customers, running marketing campaigns, categorizing your contacts, establishing business objectives, knowing and monitoring your competition, obtaining performance data, etc. Having your database software up-to-date is essential so that all of these functionalities comply with their objectives and contribute […]
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 their […]
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 […]