# Basic #### Creation of Datasets The Creation of Datasets section explains how to build datasets in ShyftSearch from connected cloud storage like AWS S3, Azure Blob, or GCP. It enables selective data access instead of scanning entire storage for faster, focused analysis. By defining prefixes, you can target specific directories or files efficiently.\ 👉 For detailed setup and configuration steps, refer to the [**Dataset Creation Guide**](/supercloudnow-docs/undefined/usage-guide/datasets/basic/creation-of-dataset.md). #### Browsing of Dataset The **Browsing Datasets** section allows you to explore the contents of a created dataset directly within the **ShyftSearch UI**.You can view the **log events** within a dataset using two display modes — **Table View** for structured data and **Raw View.**\ 👉 For detailed viewing options and usage steps, refer to the [**Dataset Browsing Guide**](/supercloudnow-docs/undefined/usage-guide/datasets/basic/browsing-dataset.md). #### Charts & Dashboards The **Charts & Dashboards** section allows you to visualize structured data through interactive charts and combine multiple visualizations into unified dashboards. This helps in identifying trends, monitoring key metrics, and gaining a comprehensive overview of your datasets in one place.\ 👉 For detailed steps on creating and managing visualizations, refer to the [**Charts & Dashboards Guide**](/supercloudnow-docs/undefined/usage-guide/datasets/basic/charts-and-dashboards.md). #### Sub-Searches The Sub-Search feature in ShyftSearch allows you to refine and filter existing dataset results using KQL (Kusto Query Language). It supports both structured and raw data, enabling deeper, more precise analysis within your datasets.\ 👉 For more detailes, refer to the [Sub-Search Guide](/supercloudnow-docs/undefined/usage-guide/datasets/basic/sub-searches.md). #### KQL Queries The KQL Queries section provides examples and best practices for writing Kusto Query Language (KQL) commands in ShyftSearch. It helps you build queries to filter, summarize, and organize your dataset results efficiently.\ 👉 For detailed syntax examples and usage tips, refer to the [KQL Queries Guide](/supercloudnow-docs/undefined/usage-guide/datasets/basic/kql-queries.md). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://supercloudnow.gitbook.io/supercloudnow-docs/undefined/usage-guide/datasets/basic.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.