Databases provide us with information stored with a hierarchical and related structure, which allows us to extract the content and arrange it easily. There are plenty of options to choose from for business and companies. Even though MySQL is the most widespread database, there are other alternatives, such as Microsoft SQL Server, PostgreSQL, or MongoDB. […]
For many businesses, databases are a vault of sensitive information containing data ranging from customers’ details and confidential competitive details to intellectual property. Lost or stolen data, especially customer data, can result in brand damage, competitive disadvantage, and severe fines. In high-profile cases, compromised data presents organizations with long-term customer acquisition and retention difficulties. As […]
Data scrubbing is a process that is performed to ensure the quality of the data in a database, which will then be used for analytics. Data scrubbing is a fundamental step to reduce the risk of basing the decision-making process on inaccurate, erroneous, corrupt or incomplete information. Data Scrubbing Phases To carry out an exhaustive […]
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 […]