Metadata enables semi-structured data to be cataloged, searched, queried and analyzed. It’s a small portion of a file that contains data about the contents of the file. There are different KINDS of data. Such data is defined as semi-structured. Semi-structured data is data that has not been organized into a specialized repository, such as a database, but that nevertheless has associated information, such as metadata, that makes it more amenable to processing than raw data.. I don’t mean the green stuff that you put in your living room during the holidays. Gmail’s Promo Tab allows you to declare a logo URL which, while nice to have, isn’t really a necessity for most subscribers. Semi-structured data is only a 5% to10% slice of the total enterprise data pie, but it has some critical use cases. While in Unstructured Data no transaction management and no concurrency are present. Spans queries and reporting over many system and data types. Another option is XML, which allows hierarchies to be created and facilitates index and search. Semi-structured data is a data model that is based on trees. Semi-structured data is one of many different types of data. 4: Versioning: As mentioned in definition Structured Data supports in Relational Database so versioning is done over tuples, rows and table as well. Structured data has a long history and is the type used commonly in organizational databases. Semi-structured data does not need to be subjected to a type model; thus, a data collection from semi-structured data can expand as desired. Datawatch calls semi-structured data the “duck-billed platypus of the data kingdom.” It is everything in between structured and unstructured data. Get 50% off WordLift until January 7th Buy Now! Data can also evolve and change overtime without a need for configuration or code changes. Data typically means “pieces” of information that are displayed in a specific way. In fact, that is a JavaScript embedded in a