Structured data is often spoken of as quantitative data, meaning its objective and pre-defined nature allows us to easily count, measure, and express data in numbers. Unstructured data, alternately, is called qualitative data in the sense that it has a subjective and interpretive nature. This da...
The most widely used non-relational database, MongoDB, accommodates semi-structured documents by natively storing them in the JSON format. How is unstructured data structured? Unstructured types of data can actually have internal structural elements. They’re considered “unstructured” because their ...
Structured data can be written into a web page either as JavaScript Object Notation (JSON) (called JSON-LD, for linked data) or inline with HTML tags. The JSON-LD method is a set of code that appears in the page header and describes the entire page. The inline method describes the data...
, semi-structured data has some organizational properties, such as tags or markers to separate semantic elements, though it is not stored in a structured database format. examples of semi-structured data include xml and json files. is it possible to automate the analysis of unstructured data?
Tile38 is an open source (MIT licensed), in-memory geolocation data store, spatial index, and realtime geofencing server. It supports a variety of object types including lat/lon points, bounding boxes, XYZ tiles, Geohashes, and GeoJSON....
Though it’s possible to code withinDatameer’s platform, it’s not necessary. Users can upload structured and unstructured data directly from many data sources by following a simple wizard. From there, the point-and-click data cleansing and built-in library of more than270 functions— like ch...
JSON (JavaScript Object Notation) and XML (eXtensible Markup Language) files, which are commonly used for web data interchange Email, where the data has a standardized format (e.g., headers, subject, body) but the content within each section is unstructured ...
Receive and sendJSONformatted messages Work with any kind of unstructured data Classify and structure logs using built-in parsers (csv-parser(), db-parser(), kv-parser(), etc.) Normalize, crunch, and process logs as they flow through the system ...
log files that come from web servers. In the supply chain there is often a large quantity of file-based data. Think about file-based and document-based data from EDI systems, XML, and of course today JSONs coming on very strong in the digital supply chain. That's very diverse ...
Another common alternative is to use a file format with embedded schema information, such as JavaScript Object Notation (JSON). For example, clickstream data, social media content and sensor data from the IoT are usually converted into JSON files for data lake storage. JSON files are also a go...