Learn the value of data, database concepts, database usage, and backup strategies (13% of exam).
Covers the value of data including data-driven decisions, reporting, and data monetization. Explores database concepts including relational vs. non-relational databases, tables, rows, fields, and primary/foreign keys. Includes database usage topics such as queries, reports, scalability, and cloud vs. local storage considerations. Also covers backup concepts including file and system backups, and local vs. cloud storage backup strategies.
5 minutes
5 Questions
Data and Database Fundamentals form a critical foundation in IT, covering how information is stored, organized, and managed within computer systems. Data refers to raw facts and figures that can be processed to generate meaningful information. This includes text, numbers, images, audio, and video files that organizations collect and utilize for decision-making purposes.
A database is a structured collection of data that allows for efficient storage, retrieval, and manipulation. Databases use organized methods to store information, making it accessible to users and applications. The most common type is the relational database, which organizes data into tables consisting of rows and columns. Each table represents an entity, while rows contain individual records and columns define attributes.
Database Management Systems (DBMS) are software applications that facilitate interaction between users and databases. Popular examples include MySQL, Microsoft SQL Server, Oracle, and PostgreSQL. These systems provide tools for creating, reading, updating, and deleting data, commonly referred to as CRUD operations.
Structured Query Language (SQL) serves as the standard programming language for managing relational databases. SQL commands enable users to query data, insert new records, modify existing entries, and remove unwanted information.
Key database concepts include primary keys, which uniquely identify each record in a table, and foreign keys, which establish relationships between tables. Data integrity ensures accuracy and consistency throughout the database lifecycle. Normalization is a process that organizes data to reduce redundancy and improve efficiency.
Non-relational databases, also called NoSQL databases, handle unstructured data and offer flexibility for modern applications. These include document stores, key-value pairs, and graph databases.
Understanding data types, backup procedures, and security measures are essential skills for IT professionals working with databases. Proper database management supports business operations, enables analytics, and protects sensitive organizational information from unauthorized access or loss.Data and Database Fundamentals form a critical foundation in IT, covering how information is stored, organized, and managed within computer systems. Data refers to raw facts and figures that can be processed to generate meaningful information. This includes text, numbers, images, audio, and video f…