Street name data refers to the names assigned to specific streets, roads, avenues, or other thoroughfares within a geographic region. Street names are used to help locate and identify specific addresses or locations within a city or town. Street names can also provide important historical and cultural information about a particular area.

Street name data typically includes information such as the name of the street, its type (e.g. street, avenue, boulevard), and any additional information necessary to locate it within a given geographic region (e.g. city, state, ZIP code).

Street name data can be stored and managed in various formats, such as databases, spreadsheets, or XML documents. It may also be accessed and displayed using various mapping or geolocation tools, such as Google Maps or OpenStreetMap.

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How has the development and use of XML changed since the rise of cloud computing and big data?

With the rise of cloud computing and big data, the use of XML for data storage and transfer has become increasingly relevant. XML has proven to be a flexible and scalable format for managing large amounts of data in the cloud. Many cloud computing platforms and big data tools have built-in support for XML, making it easier for organizations to integrate and exchange data between systems. Additionally, advancements in big data technologies such as Hadoop and Spark have made it possible to process and analyze XML data at scale. However, there are also challenges in terms of security and privacy that need to be addressed when using XML in the context of cloud computing and big data. Despite this, the continued development and use of XML in these areas is expected to increase in the future.