Cookie Settings

By clicking "Agree," you consent to the storage of cookies on your device to enhance site navigation, analyze site usage, and support our marketing efforts. For more information, please refer to our Privacy Policy.

Reject
Agree
Glossary
Data Infrastructure

Semi-structured data

Semi-structured data is data that has a certain order and organization but does not follow strict rules.

Meaning in detailContact us now

In contrast to unstructured data, such as text documents or images, semi-structured data can be processed by machine.

Characteristics of semi-structured data

  • No rigid requirement: Semi-structured data does not follow a rigid schema or data model.
  • markings: Tags such as XML tags or HTML elements are often used to structure the data.
  • Flexibility: The structure of data can be flexible and change over time.
  • Machine processing: Semi-structured data can be processed automatically using suitable methods.

Examples of semi-structured data

  • XML files: XML is a common language for storing and transmitting semi-structured data.
  • JSON files: JSON is another popular language for semi-structured data.
  • Emails: Emails often contain text, HTML elements, and attachments, making them semi-structured data.
  • Log files: Log files contain records with various information, such as time stamps, events, and error messages.

Benefits of semi-structured data

  • Flexibility: Semi-structured data is more flexible than structured data and can adapt to new requirements.
  • Processability: Semi-structured data can be processed automatically using suitable methods.
  • Storage space: Semi-structured data can be stored in a more space-saving way than structured data.

Disadvantages of semi-structured data

  • Complexity: Processing semi-structured data can be more complex than processing structured data.
  • Susceptibility to errors: Semi-structured data is more susceptible to errors than structured data.
  • Interoperability: The interoperability of semi-structured data may be limited.

More variants

Data-related services can be found, for example, in Data Strategy, data management or even Data Governance.

Abstrakte Form eines Pfades

Data is available in various structures.

Thomas Borlik

Contact now
Abstrakte Form eines Pfades

Do you have questions around
Semi-structured data
?

Let´s TalkContactFollow us on LinkedIn

Relevant Case Studies

Here you can find related examples of our work

Explore all Case Studies
No items found.

Which services fit to
Semi-structured data
?

<svg width=" 100%" height=" 100%" viewBox="0 0 62 62" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_5879_3245)"> <path d="M54.25 3.875H31C29.9726 3.87603 28.9876 4.28461 28.2611 5.01109C27.5346 5.73758 27.126 6.7226 27.125 7.75V27.125H7.75C6.7226 27.126 5.73758 27.5346 5.01109 28.2611C4.28461 28.9876 3.87603 29.9726 3.875 31V58.125H58.125V7.75C58.124 6.7226 57.7154 5.73758 56.9889 5.01109C56.2624 4.28461 55.2774 3.87603 54.25 3.875ZM17.4375 54.25V40.6875H25.1875V54.25H17.4375ZM54.25 54.25H29.0625V38.75C29.0625 38.2361 28.8584 37.7433 28.495 37.38C28.1317 37.0166 27.6389 36.8125 27.125 36.8125H15.5C14.9861 36.8125 14.4933 37.0166 14.13 37.38C13.7666 37.7433 13.5625 38.2361 13.5625 38.75V54.25H7.75V31H31V7.75H54.25V54.25Z" fill="currentColor"/> <path d="M34.875 15.5H38.75V19.375H34.875V15.5ZM46.5 15.5H50.375V19.375H46.5V15.5ZM34.875 27.125H38.75V31H34.875V27.125ZM46.5 27.125H50.375V31H46.5V27.125ZM34.875 38.75H38.75V42.625H34.875V38.75ZM46.5 38.75H50.375V42.625H46.5V38.75Z" fill="currentColor"/> </g> <defs> <clipPath id="clip0_5879_3245"> <rect width="62" height="62" fill="currentColor"/> </clipPath> </defs> </svg>

Infrastructure Setup

Modern Data Architecture: The Foundation for Scalable Solutions.

<svg width=" 100%" height=" 100%" viewBox="0 0 62 62" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_5879_2705)"> <path d="M7.75 50.375H15.5V58.125H7.75V50.375ZM27.125 50.375H34.875V58.125H27.125V50.375ZM46.5 50.375H54.25V58.125H46.5V50.375ZM48.4375 31H32.9375V27.125H29.0625V31H13.5625C12.5351 31.001 11.5501 31.4096 10.8236 32.1361C10.0971 32.8626 9.68853 33.8476 9.6875 34.875V46.5H13.5625V34.875H29.0625V46.5H32.9375V34.875H48.4375V46.5H52.3125V34.875C52.3115 33.8476 51.9029 32.8626 51.1764 32.1361C50.4499 31.4096 49.4649 31.001 48.4375 31ZM17.4375 3.875V23.25H44.5625V3.875H17.4375ZM21.3125 7.75H25.1875V19.375H21.3125V7.75ZM40.6875 19.375H29.0625V7.75H40.6875V19.375Z" fill="currentColor"/> </g> <defs> <clipPath id="clip0_5879_2705"> <rect width="62" height="62" fill="currentColor"/> </clipPath> </defs> </svg>

Organization Development

Clear Roles and Structure for sustainable Data Ownership.

<svg width=" 100%" height=" 100%" viewBox="0 0 62 62" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_5879_2165)"> <path d="M21.3122 46.5H40.6872V50.375H21.3122V46.5ZM25.1872 54.25H36.8122V58.125H25.1872V54.25ZM30.9997 3.875C25.8611 3.875 20.933 5.91629 17.2995 9.54981C13.666 13.1833 11.6247 18.1114 11.6247 23.25C11.4937 26.0658 12.0331 28.8726 13.1985 31.4392C14.364 34.0059 16.1222 36.2592 18.3285 38.0138C20.266 39.8156 21.3122 40.8425 21.3122 42.625H25.1872C25.1872 39.06 23.0366 37.0644 20.9441 35.1462C19.1332 33.7595 17.69 31.9499 16.7408 29.8759C15.7917 27.802 15.3655 25.5269 15.4997 23.25C15.4997 19.1391 17.1327 15.1967 20.0396 12.2898C22.9464 9.38303 26.8889 7.75 30.9997 7.75C35.1106 7.75 39.0531 9.38303 41.9599 12.2898C44.8667 15.1967 46.4997 19.1391 46.4997 23.25C46.6317 25.5286 46.2025 27.8047 45.2499 29.8788C44.2973 31.9529 42.8504 33.7616 41.036 35.1462C38.9628 37.0837 36.8122 39.0213 36.8122 42.625H40.6872C40.6872 40.8425 41.7141 39.8156 43.671 37.9944C45.8757 36.2428 47.6331 33.9929 48.7986 31.4295C49.964 28.8662 50.5042 26.0628 50.3747 23.25C50.3747 20.7056 49.8736 18.1862 48.8999 15.8355C47.9262 13.4848 46.499 11.3489 44.6999 9.54981C42.9008 7.75067 40.7649 6.32352 38.4142 5.34983C36.0635 4.37615 33.5441 3.875 30.9997 3.875Z" fill="currentColor"/> </g> <defs> <clipPath id="clip0_5879_2165"> <rect width="62" height="62" fill="currentColor"/> </clipPath> </defs> </svg>

Data Strategy

Your Roadmap for Data-Driven Growth and Business Goals.

<svg width=" 100%" height=" 100%" viewBox="0 0 62 62" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_5879_269)"> <path d="M40.6875 56.1875H9.6875C8.65979 56.1875 7.67416 55.7792 6.94746 55.0525C6.22076 54.3258 5.8125 53.3402 5.8125 52.3125V9.6875C5.8125 8.65979 6.22076 7.67416 6.94746 6.94746C7.67416 6.22076 8.65979 5.8125 9.6875 5.8125H40.6875V9.6875H9.6875V52.3125H40.6875V56.1875Z" fill="currentColor"/> <path d="M29.0625 17.4375H32.9375V44.5625H29.0625V17.4375ZM52.3125 17.4375H56.1875V44.5625H52.3125V17.4375ZM40.6875 17.4375H44.5625V44.5625H40.6875V17.4375Z" fill="currentColor"/> </g> <defs> <clipPath id="clip0_5879_269"> <rect width="62" height="62" fill="currentColor"/> </clipPath> </defs> </svg>

Data Audit

Objective Transparency: Your Data Maturity and Risks at a glance.

<svg xmlns="http://www.w3.org/2000/svg" width=" 100%" height=" 100%" viewBox="0 0 32 32"><path fill="currentColor" d="M28 6H18V4a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v20a2 2 0 0 0 2 2h10v2a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2M4 15h6.17l-2.58 2.59L9 19l5-5l-5-5l-1.41 1.41L10.17 13H4V4h12v20H4Zm12 13v-2a2 2 0 0 0 2-2V8h10v9h-6.17l2.58-2.59L23 13l-5 5l5 5l1.41-1.41L21.83 19H28v9Z"/></svg>

Tool Comparison & Tool Selection

Neutral Tool Comparison: Avoid Misinvestment & maximize ROI.

<svg xmlns="http://www.w3.org/2000/svg" width=" 100%" height=" 100%" viewBox="0 0 32 32"><path fill="currentColor" d="M20 16c-.092 0-.18.021-.27.027l-.892-2.674A2.98 2.98 0 0 0 20 11c0-1.654-1.346-3-3-3s-3 1.346-3 3c0 .38.078.741.208 1.076l-2.722 2.333A2.97 2.97 0 0 0 10 14c-1.654 0-3 1.346-3 3s1.346 3 3 3a2.99 2.99 0 0 0 2.412-1.232l3.603 1.08c-.002.052-.015.1-.015.152c0 2.206 1.794 4 4 4s4-1.794 4-4s-1.794-4-4-4m-3-6c.551 0 1 .449 1 1s-.449 1-1 1s-1-.449-1-1s.449-1 1-1m-7 8c-.551 0-1-.449-1-1s.449-1 1-1s1 .449 1 1s-.449 1-1 1m2.985-1.148a3 3 0 0 0-.193-.928l2.722-2.333a2.96 2.96 0 0 0 1.43.403l.885 2.656a4 4 0 0 0-1.236 1.284zM20 22c-1.103 0-2-.897-2-2s.897-2 2-2s2 .898 2 2s-.897 2-2 2"/><path fill="currentColor" d="M27.496 9.864L16 3.158L7.504 8.114L6.496 6.386l9-5.25a1 1 0 0 1 1.008 0l12 7zm-10.992 21l-1.008-1.728L27 22.426V12h2v11a1 1 0 0 1-.496.864zm-4.008-1.75l-9-5.25A1 1 0 0 1 3 23V9h2v13.426l8.504 4.96z"/></svg>

Data Engineering

Data Pipelines: Transforming Raw Data into Business Value.

<svg xmlns="http://www.w3.org/2000/svg" width=" 100%" height=" 100%" viewBox="0 0 32 32"><path fill="currentColor" d="m16 23l-2.139-1.013A5.022 5.022 0 0 1 11 17.467V11h10v6.468a5.021 5.021 0 0 1-2.861 4.52zm-3-10v4.468a3.01 3.01 0 0 0 1.717 2.71l1.283.608l1.283-.607A3.012 3.012 0 0 0 19 17.468V13zm-8.88 4.656A2 2 0 1 0 1 16c0 .789.46 1.464 1.124 1.79a13.946 13.946 0 0 0 9.569 11.535l.614-1.904a11.954 11.954 0 0 1-8.186-9.765m25.205 2.652l-1.904-.616a11.954 11.954 0 0 1-9.765 8.187A2 2 0 1 0 16 31c.789 0 1.464-.46 1.79-1.124a13.947 13.947 0 0 0 11.535-9.568m.551-6.098a13.946 13.946 0 0 0-9.569-11.535l-.614 1.904a11.954 11.954 0 0 1 8.186 9.765A2 2 0 1 0 31 16a1.992 1.992 0 0 0-1.123-1.79M16 1c-.789 0-1.464.46-1.79 1.124a13.947 13.947 0 0 0-11.535 9.568l1.904.616a11.954 11.954 0 0 1 9.765-8.187A2 2 0 1 0 16 1"/></svg>

Data Governance

Guaranteeing Data Quality, Clear Roles & Compliance.

Follow us on LinkedIn

Stay up to date on the exciting world of data and our team on LinkedIn.

Follow on LinkedIn
Abstrakter Pfad des Data Institutes