The Microsoft Graph API defines most of its resources, methods, and enumerations in the OData namespace, microsoft.graph, in the Microsoft Graph metadata. A small number of API sets are defined in their sub-namespaces, such as the call records API which defines resources like callRecord in microsoft.graph.callRecords.

Graph-explorer is an open-source low-code visual exploration tool for graph data, available under the Apache-2.0 license. It lets you browse either labeled property graphs (LPG) or Resource Description Framework (RDF) data in a graph database without having to write graph queries. Graph-explorer is intended to help data scientists, business analysts, and other roles in an organization explore graph data interactively without having to learn a graph query language.


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Graph-explorer provides a React-based web application that can be deployed as a container to visualize graph data. You can connect to Amazon Neptune or to other graph databases that provide an Apache TinkerPop Gremlin or SPARQL 1.1 endpoint.

For reports and presentations involving graph data, you can configure and save views you've created in a high-resolution PNG format. You can also download the associated data into a CSV or JSON file for further processing.

You can also build the graph-explorer Docker image and run it on a local machine or a hosted service like Amazon Elastic Compute Cloud (Amazon EC2) or Amazon Elastic Container Service (Amazon ECS), as explained in the Getting Started section of the read-me in the graph-explorer GitHub project.

NerdGraph is our GraphQL API you can use to query data and make configuration changes in New Relic features. You can send GraphQL to the NerdGraph API in a variety of ways: from your code, with curl or CLI requests, and in the NerdGraph API explorer. The explorer is a GUI GraphQL tool (based on GraphiQL) where you can experiment with queries and mutations (changes) in NerdGraph.

If you're new to GraphQL, get acquainted with the GraphQL API via the NerdGraph API explorer. If you need an overview of the API before starting this tutorial, check out Meet NerdGraph: our GraphQL API.

Now you can try adding more fields to your query. The simplest way is clicking the fields in the query builder. The explorer knows where to put the attributes in the query. In the example, add the following fields:

The graph structure shows its capabilities when queries become more complex. For example, you can query for user information, account information, and make a NRQL query with one request. With REST API, this would take three different requests to three different endpoints.

An initial request to the _explore API contains a seed query that identifiesthe documents of interest and specifies the fields that define the verticesand connections you want to include in the graph. Subsequent _explore requestsenable you to spider out from one more vertices of interest. You can excludevertices that have already been returned.

Connections can be nested inside the connections object toexplore additional relationships in the data. Each level of nesting isconsidered a hop, and proximity within the graph is often described interms of hop depth.

After an initial search, you typically want to select vertices of interest andsee what additional vertices are connected. In graph-speak, this operation isreferred to as "spidering". By submitting a series of requests, you canprogressively build a graph of related information. e24fc04721

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