![]() Describes how to create an app to get data using batching ingestion of the Kusto client libraries. Describes how to visualize data using the Plotly graphics library.Ĭreate an app to get data using batching ingestion Graph operators (Preview) - graph-match operator (Preview) - graph-merge operator (Preview) - graph-to-table operator (Preview) - make-graph operator (Preview) Describes how to set the ingestion batching policy. alter-merge table policy ingestionbatching command alter-merge database policy ingestionbatching command. Describes how to create a base query for an Azure Data Explorer dashboard. Describes the visualizations available in Azure Data Explorer web UI or dashboards. Describes the different learning resources for ramping up on KQL. New article that describes how to ingest data into Azure Data Explorer from Splunk, and updated data connector overview with additional capabilities. ![]() Ingest data from Splunk to Azure Data Explorer - Data connectors overview Describes how to use LightIngest to ingest historical or ad hoc data into Azure Data Explorer. Describes how to use Kusto Query Language (KQL) graph semantics. KQL graph semantics overview (Preview) - KQL graph semantics best practices (Preview) - Common scenarios for using KQL graph semantics (Preview)? ![]() This article details new and significantly updated content in the Azure Data Explorer documentation. Welcome to what's new in Azure Data Explorer.
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