Create Elasticsearch-Connected Visualizations in Klipfolio



Use CData Connect Cloud to connect to Elasticsearch Data from Klipfolio and build custom visualizations using live Elasticsearch data.

Klipfolio is an online dashboard platform designed to create real-time business dashboards, whether for your team or clients. When combined with CData Connect Cloud, you gain immediate cloud-to-cloud access to Elasticsearch data to create visualizations, reports, and more. This article provides step-by-step instructions on connecting to Elasticsearch within Connect Cloud and creating visualizations using Elasticsearch data in Klipfolio.

CData Connect Cloud offers a direct cloud-to-cloud interface for Elasticsearch, enabling you to construct reports from real-time Elasticsearch data data within Klipfolio—without the need for data replication to a database natively supported by Klipfolio. While building visualizations, Klipfolio generates SQL queries to fetch data. With optimized data processing capabilities out of the box, CData Connect Cloud efficiently directs all supported SQL operations (such as filters, JOINs, etc.) directly to Elasticsearch, harnessing server-side processing to swiftly retrieve the requested Elasticsearch data data.

About Elasticsearch Data Integration

Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:

  • Access both the SQL endpoints and REST endpoints, optimizing connectivity and offering more options when it comes to reading and writing Elasticsearch data.
  • Connect to virtually every Elasticsearch instance starting with v2.2 and Open Source Elasticsearch subscriptions.
  • Always receive a relevance score for the query results without explicitly requiring the SCORE() function, simplifying access from 3rd party tools and easily seeing how the query results rank in text relevance.
  • Search through multiple indices, relying on Elasticsearch to manage and process the query and results instead of the client machine.

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.


Getting Started


Configure Elasticsearch Connectivity for Klipfolio

Connectivity to Elasticsearch from Klipfolio is made possible through CData Connect Cloud. To work with Elasticsearch data from Klipfolio, 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.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured, you are ready to connect to Elasticsearch data Klipfolio.

Connect to Elasticsearch from Klipfolio

The steps below outline connecting to CData Connect Cloud from Klipfolio to create a new Elasticsearch data source.

  1. Open Klipfolio
  2. Click in Data Sources to add a new data source
  3. Search for and select MSSQL as the Service
  4. Click "Create a custom MSSQL data source"
  5. Configure the data source by setting the MSSQL connection properties:
    • Host: tds.cdata.com
    • Port: 14333
    • Database: your database (e.g., Elasticsearch1)
    • Driver: MS SQL
    • Username: a Connect Cloud user (e.g. [email protected])
    • Password: the above user's PAT
    • SQL Query: any query to retrieve data (e.g. SELECT * FROM Orders )
    • Select the checkbox to "Include column headers"
    • Select the checkbox to "Use SSL/TLS"
  6. Click "Get data" to preview the Elasticsearch data before building a data model.

Build a Data Model

After retrieving the data, click the checkbox to "Model your data" and click "Continue." In the new window, configure your data model.

  1. Confirm that the model includes all columns you wish to work with
  2. Name your model
  3. (optional) Set the Description
  4. Set "Header in row" to 1
  5. Click the toggle to "Exclude data before row" and set the value to 2
  6. Click "Save and Exit"

Create a Metric

With the data modeled, we are ready to create a Metric (or visualization) of the data to be used in the Klipfolio platform for dashboards, reporting, and more.

  1. Click "Create metrics"
  2. Select a Data source
  3. Select a Metric value and default aggregation
  4. Select Segmentation(s)
  5. Select a Date & time
  6. Select a Data shape
  7. Configure the Display settings
  8. Click Save
  9. Navigate to your Metric and further configure the visualization

SQL Access to Elasticsearch Data from Cloud Applications

Now you have a Metric built from live Elasticsearch data. You can add it to a new dashboard, share, and more. Easily create more data sources and new visualizations, produce reports, and more — all without replicating Elasticsearch data.

To get SQL data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect Cloud.

Ready to get started?

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