Structure Log For Free

Examples of unstructured data are:Rich media. Media and entertainment data, surveillance data, geo-spatial data, audio, weather data.Document collections. Invoices, records, emails, productivity applications.Internet of Things (IoT). Sensor data, ticker data.Analytics. Machine learning, artificial intelligence (AI)

According to Wikipedia, unstructured data is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Log files are unstructured text data by default.

Overview. Logger is used for creating customized error log files or an error can be registered as a log entry in the Windows Event Log on the administrator's machine. This article is demonstrating how to create a text based error log file along with error messages with your own format, using a C# class.

Unstructured logs are massive text files made up of strings, which are ordered sequences of characters that are meant to be read by humans. In logs, these strings contain variables, which are placeholders for qualities that are defined elsewhere.

Structured logs consist of objects instead of strings. An object can include variables, data structure, methods, and functions. For instance, an object that's part of a log message might include information about an app or a platform.

The problem with log files is they are unstructured text data.The goal of structured logging is to solve these sorts of problems and allow additional analytics. For log files to be machine-readable more advanced functionality, they need to be written in a structured format that can be easily parsed.

Structured logging is the practice of implementing a consistent, predetermined message format for application logs that allows them to be treated as data sets rather than text.