Explore the examples, formats, and characteristics of semi-structured data. See how it differs from structured and unstructured data.
With their support for flexible and dynamic data structures, these databases excel at storing semi-structured data, such as text documents, images, or social media feeds. Widely used SQL databases, such as Oracle Database, now offer JSON as a data type, allowing developers to work with JSON ...
A JSON document database is a great choice for content management applications, such as blogs and video platforms, because each entity can be stored as a single JSON document. Should the data model need to change, only the affected documents need to be updated, with no need for schema updat...
XML, JSON, Avro, Parquetare all categorized as semi-structured data. The data from sensors and server logs can easily be categorized in this bucket, since it generally appears in or can easily be converted to JSON/CSV-like formats. Some data vendors even categorize HTML code and emails as ...
A JSON example JSON consists of arrays and objects, as well as names and value pairs. Punctuation used in the format includes quotations, brackets, parentheses, semicolons and colons. Data in JSON is written in name and value pairs, similar to JavaScript object properties. A name and value ...
Semi-structured data is only a 5% to 10% slice of the total enterprise data pie, but it has some critical use cases. Examples include the XML markup language, the versatile JSON data-interchange format, and databases of the NoSQL or non-relational variety. These last are a good choice ...
Org.Apache.Http.IO Org.Apache.Http.Message Org.Apache.Http.Params Org.Apache.Http.Protocol Org.Apache.Http.Util Org.Json Org.W3c.Dom Org.W3c.Dom.LS Org.Xml.Sax Org.Xml.Sax.Ext Org.Xml.Sax.Helpers Org.XmlPull.V1 Org.Xmlpull.V1.Sax2 System.IO System.Linq Xamarin.Androi...
Places is a web application that allows you to record all of your favorite locations using both structured (relational) and semi-structured (JSON) data! The Places app contains a React.js front-end and Python back-end, which utilizes the MariaDB Python c
recent years, these NoSQL databases have evolved to offer advantages such as flexible schemas and improved scaling and performance. With their support for flexible and dynamic data structures, these databases excel at storing semi-structured data, such as text documents, images, or social media ...
//Serialize to JSONvaljson=Person.writeJson(johnSmith)//Deserialize from JSONvalpersonFromJson=Person.readJson(json) Choose a Data Store: In-memory store(non-persistent, suitable for testing) RocksDB-based store(persistent, efficient for local storage) ...