Data Types

Within Logscape a Data type is a tabbed representation of your data, either through automatic extraction or through use of regular expression your data is broken into columns, each column can be used as a search term. The intention of a Data type is to allow a user to search using terms that they are familiar with. Types are further explained in the Types Tutorial as well as the Types Overview.

STAGE 1

INGEST

The RAW data that needs to be analysed is fed into the system in its current format.

STAGE 2

TRANSFORM

The system then transforms data into a tabular structure where the data type is detected automatically. The data get indexed internally and columns are assigned. eg : Highlighted columns are created during the transformation.

STAGE 3

SEARCH

Once transformation finished, now data can be searched based on the columns and their values.

STAGE 4

VISUALIZE

Finally the searched content can be visually analysed.


Types Tutorial

Types apply a tabular structure on incoming data.

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Searching with Types

Datatypes can be used at search time to filter your search to a certain type of data.

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Synthetic Fields

Are fields that are generated from existing fields. These fields are optional and do not occur on an every incoming event.

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Videos

Data Types Intro

Create a basic datatype. Learn to extract fields using expressions.

Synthetic Fields

Add synthetic fields which are composed from other fields in a data type.

Saving a Datatype

Each data type needs the name ,tag ,file mask before it can be applied.