Structured data are datasets with strong and consistent organization. Structured data is managed with structured query language (SQL), where users can easily search and edit data.
Structured data is organized into rows and columns with known and predictable content. Each column contains a specific type of data, such as date, text, money, or percentage. Data that does not match the data type of this column is rejected as an error.
Relational database tables and spreadsheets typically contain structured data. The high level of semantic structure combines master data and historical data into a data model. Data model subject areas include topics such as customers, inventory, sales transactions, prices, and suppliers. Structured data is easy to use, and data integrity can be strengthened. When large amounts of past phenomena are captured, structured data becomes big data.
Because structured data makes the editing process simple and fast, it can be easily understood by machine learning algorithms. Queries are also made easier by users who can access, understand and interpret the data.
Structured data handles highly organized quantitative data managed with SQL databases, while unstructured data handles qualitative data that does not use predefined databases that are managed in the best NoSQL databases (such as MongoDB). All important business processes and decisions are based on structured data. Data warehouses are the basis of data lakes and applications. When integrated into a data model, structured data provides fast and great business value.
Big data is very large unstructured or structured data and is the most complex to analyze. For this you need advanced big data technology and big data tools that can work with large amounts of unstructured data. The amount of data collected is constantly increasing.
Data democracy is the process of ensuring that all employees within an organization can easily access and use data without the need for technical knowledge. This approach eliminates data silos, speeds up business processes and improves decision-making.
Meta Data is data that describes other data in a structured, consistent form, so that large amounts of data can be collected, stored, and analyzed over time.
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