Create Reports from Elasticsearch Data in Looker Studio

Looker Studio, formerly known as Google Data Studio, empowers users to craft customized reports featuring data visualizations that can be shared with clients while reflecting your brand identity. When combined with CData Connect Cloud, you gain immediate cloud-to-cloud access to Elasticsearch data to create visualizations, dashboards, and more. This article provides step-by-step instructions on establishing a virtual database for Elasticsearch and generating reports from Elasticsearch data within Looker Studio.

CData Connect Cloud offers a seamless cloud-to-cloud interface tailored for Elasticsearch, making it straightforward to construct reports directly from live Elasticsearch data within Looker Studio without the need for data replication. As you create visualizations, Looker Studio generates queries to retrieve data. With its inherent optimized data processing capabilities, CData Connect Cloud efficiently channels all supported query operations, including filters, JOINs, and more, directly to Elasticsearch. This leverages server-side processing to swiftly provide the requested Elasticsearch data.

Configure Elasticsearch Connectivity for Looker Studio

Connectivity to Elasticsearch from Looker Studio is made possible through CData Connect Cloud. To work with Elasticsearch data from Looker Studio, we start by creating and configuring a Elasticsearch connection.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Elasticsearch" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Elasticsearch.

   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.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Elasticsearch Connection page and update the User-based permissions.

With the connection configured, you are ready to connect to Elasticsearch data from Looker Studio.

Visualize Live Elasticsearch Data from Looker Studio

The steps below outline connecting to CData Connect Cloud from Looker Studio to create a new Elasticsearch data source and build a simple visualization from the data.

1. Log into Looker Studio, click data sources, create a new data source, and choose CData Connect Cloud Connector.
2. Click Authorize and allow access to your Google account.
3. Click Authorize to authenticate with your CData Connect Cloud instance
4. In the CData Connect Cloud Connector in Looker Studio select a Connection (e.g. Elasticsearch1) and click Next
5. Select a Table (e.g. Orders) or use a Custom Query and click Connect to continue
6. If needed, modify columns, click Create Report, and add the data source to the report.
7. Select a visualization style and add it to the report.
8. Select Dimensions and Measures to customize your visualization.

Live Access to Elasticsearch Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live Elasticsearch data from your Looker Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Elasticsearch data.

Try CData Connect Cloud and get real-time data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.