Core Data Concepts

Data is the foundation on which all modern software is built. At its core, understanding data begins with recognizing how information is structured and stored. Common data formats include structured data that fits neatly into tables with predefined schemas, semi-structured data like JSON or XML that offers more flexibility, and unstructured data such as images, videos, and text documents. These formats determine how applications process, query, and analyze information, making it essential to grasp their differences when working with any data system.

Beyond formats, data workloads fall into two primary categories: transactional workloads that handle day-to-day operations like processing orders or updating customer records, and analytical workloads that aggregate large volumes of data to uncover trends and support decision-making. Each workload demands different tools and approaches. Relational databases excel at maintaining data integrity for transactions, while specialized systems like data warehouses and big data platforms optimize for complex queries across massive datasets.

For the DP-900 certification, demonstrating mastery of these core data concepts is essential. The exam dedicates 25 to 30 percent of its content to this topic, requiring you to describe relational and non-relational data, explain the differences between batch and streaming data, and identify appropriate data services for various scenarios. A solid foundation in these fundamentals prepares you not only for the exam but also for more advanced Azure certifications in database administration or data engineering.