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CData Connect AI, enables you to access Elasticsearch data from cloud-based applications like the Salesforce console and mobile applications like the Salesforce Mobile App. In this article, you will use CData Connect AI and Salesforce Connect to access external Elasticsearch objects alongside standard Salesforce objects.
Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:
Users frequently integrate Elasticsearch data with analytics tools such as Crystal Reports, Power BI, and Excel, and leverage our tools to enable a single, federated access layer to all of their data sources, including Elasticsearch.
For more information on CData's Elasticsearch solutions, check out our Knowledge Base article: CData Elasticsearch Driver Features & Differentiators.
To work with live Elasticsearch data in Salesforce Connect, we need to connect to Elasticsearch from Connect AI, provide user access to the connection, and create a Workspace for the Elasticsearch data.
CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.
Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.
The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.
Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.
π Configuring a connection (Salesforce is shown)When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
After connecting to Elasticsearch, create a workspace for your desired table(s).
With the connection, PAT, and Workspace configured, you are ready to connect to Elasticsearch data from Salesforce Connect.
Follow the steps below to connect to the feed produced by Connect AI.
After you have created the external data source, follow the steps below to create Elasticsearch external objects that reflect any changes in the data source. You will synchronize the definitions for the Elasticsearch external objects with the definitions for Elasticsearch tables.
After adding Elasticsearch data as an external data source and syncing Elasticsearch tables as external objects, you can use the external Elasticsearch objects just as you would standard Salesforce objects.
Create a new tab with a filter list view:
π Viewing external objects from Salesforce (NetSuite is shown)Create reports of external objects:
π Reporting on external objects from Salesforce (NetSuite is shown)Create, update, and delete Elasticsearch objects from the Salesforce dashboard:
π Editing external objects from Salesforce (NetSuite is shown)At this point, you have a direct, cloud-to-cloud connection to live Elasticsearch data from Salesforce. For more information on gaining simplified access to data from more than 100 SaaS, Big Data, and NoSQL sources in cloud applications like Salesforce, refer to our Connect AI page.
Learn more about CData Connect AI or sign up for free trial access:
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