Evernote On Premise

| 30-04-2021
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  1. Evernote On Premise Definition
  2. Evernote On Premise Meaning
  3. Evernote Alternative On Premise

Power BI transforms your company's data into rich visuals for you to collect and organize so you can focus on what matters to you. When paired with CData Connect Cloud, you get instant access to Evernote data for visualizations, dashboards, and more. This article shows how to build and publish a dataset from Evernote data in Power BI and then create reports on Evernote data in the Power BI service.

CData Connect Cloud provides a pure SQL interface for Evernote, allowing you to easily build reports from live Evernote data in Power BI — with no need to replicate the data. As you build visualizations, Power BI generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to Evernote, leveraging server-side processing to quickly return Evernote data.

NOTE: You can also import Evernote data into Power BI through Connect Cloud (instead of using the on-premise gateway). Read how in the related Knowledge Base article.

Create a Virtual SQL Database for Evernote Data

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Connect Cloud and click Databases.
  2. Select 'Evernote' from Available Data Sources.
  3. Evernote uses OAuth to authenticate. Click Test Database to authenticate with Evernote.
  4. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

Connecting to Connect Cloud from Power BI

To connect to and visualize live Evernote data in the Power BI service), install the on-premises data gateway, add a data source to the gateway from the Power BI service, and publish a dataset from Power BI Desktop to the service.

Evernote On Premise

Install the On-Premises Data Gateway

The Microsoft on-premises data gateway provides secure data transfer between connected data sources and various cloud-based Microsoft tools and platforms. You can read more about the gateway in the Microsoft documentation.

You can download and install the gateway from the Power BI service:

  1. Log in to PowerBI.com.
  2. Click the Download menu and click Data Gateway.
  3. Follow the instructions for installation, making note of the name of the gateway.

Add Evernote as a Data Source to the Power BI Service

Once you have installed the data gateway, you add Connect Cloud as a data source to the Power BI service:

  1. Log in to PowerBI.com.
  2. Click the Settings menu and click 'Manage gateways.' Manage gateways'/>
  3. Click 'ADD DATA SOURCE' and configure the connection to Connect Cloud:
    • Set Data Source Name CloudHub_Evernote.
    • Choose SQL Server as the Data Source Type.
    • Set Server to the address of your Connect Cloud instance (i.e.: myinstance.cdatacloud.net).
    • Set Database to the name of your virtual Evernote database (i.e.: evernotedb).
    • Set Authentication Method to Basic.
    • Set Username and Password to Connect Cloud credentials.

Publish a Dataset from Power BI Desktop

With the gateway installed and Connect Cloud added as a datasource to the Power BI service, you can publish a dataset from Power BI Desktop to the service.

  1. Open Power BI, click Get Data -> More, then select SQL Server database, and click Connect.
  2. Set the connection properties and click OK.
    • Set Server to the address of your Connect Cloud instance (i.e.: myinstance.cdatacloud.net).
    • Set Database to the name of your virtual Evernote database (i.e.: evernotedb).
    • Set Data Connectivity mode to DirectQuery*.
    * DirectQuery enables live query processing and real-time visualizations of Evernote data.
  3. In the authentication wizard, select Database, set the User name and Password properties, and click Connect.
  4. Select the table(s) to visualize in the Navigator dialog.

  5. In the Query Editor, you can customize your dataset by filtering, sorting, and summarizing Evernote columns. Click Edit to open the query editor. Right-click a row to filter the rows. Right-click a column header to perform actions like the following:

    • Change column data types
    • Remove a column
    • Group by columns

    Power BI detects each column's data type from the Evernote metadata reported by Connect Cloud.

    Power BI records your modifications to the query in the Applied Steps section, adjusting the underlying data retrieval query that is executed to the remote Evernote data. When you click Close and Apply, Power BI executes the data retrieval query.

    Otherwise, click Load to pull the data into Power BI.

  6. Define any relationships between the selected entities on the Relationships tab.
  7. Click Publish (from the Home menu) and select a Workspace.

Build Reports and Dashboards on Evernote Data in the Power BI Service

Now that you have published a dataset to the Power BI service, you can create new reports and dashboards based on the published data:

Evernote
  1. Log in to PowerBI.com.
  2. Click Workspaces and select a workspace.
  3. Click Create and select Report.
  4. Select the published dataset for the report.
  5. Choose fields and visualizations to add to your report.

SQL Access to Evernote Data from Cloud Applications

Now you have a direct connection to live Evernote data from the Power BI service. You can create more data sources and new visualizations, build reports, and more — all without replicating Evernote data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Connect Cloud.

The CData Mule Connector for Evernote connects Evernote data to Mule applications enabling read, write, update, and delete functionality with familiar SQL queries. The Connector allows users to easily create Mule applications with access to live Evernote data that can be deployed to an on-premise server for internal access or to the MuleSoft CloudHub for direct cloud access.

Add Evernote Connectivity to Mule Apps

This article walks through embedding the CData Mule Connector for Evernote in an application and deploying the application to MuleSoft CloudHub and to on-premise servers. You will need Mule and Anypoint Studio installed, in addition to the CData Evernote Connector.

  • Embed Evernote Connectivity with the CData MuleSoft Connector
  • Deploy to MuleSoft CloudHub through the Anypoint Platform
  • Deploy to an On-Premise Server through the Anypoint Platform

Embed Evernote Connectivity

The steps below outline adding the Evernote Connector to your project and configuring the connection and connector.

  1. Create a new Mule Project in Anypoint Studio.
  2. Add a CData Evernote Connector to the application.
  3. Create a new Connection (or edit an existing one) and configure the properties to connect to Evernote (see below). Once the connection is configured, click Test Connection to ensure the connectivity to Evernote.

    Evernote uses the OAuth authentication standard. You can use the embedded OAuth application to connect without setting any connection properties. Alternatively, you can create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the 'Getting Started' chapter of the help documentation for a guide to using OAuth.

  4. Configure the CData Evernote Connector with the Operation, Query type, and SQL query.
  5. Finish and save your application.

Once you have completed your application, you can use Anypoint Studio in conjunction with Anypoint Platform to deploy the application to your MuleSoft CloudHub instance or an on-premise server.

Deploy to MuleSoft CloudHub

  1. Right-click your Project and select Anypoint Platform -> Deploy to Cloud
  2. Configure the deployment and click 'Deploy Application'
  3. When the deployment completes, navigate to the Anypoint Platform Runtime Manager to manage the deployed application

Once the application is deployed, you will be able to access it from anywhere on the web by navigating to the App URL, adding any parameters needed.

Deploy to an On-Premise Server

Evernote On Premise Definition

In order to deploy a Mule application to an on-premise server through the Anypoint Platform, you will need to have a Mule server instance installed on the machine. The steps below walk through adding the on-premise server to Anypoint Platform and deploying the Mule application.

Add the On-Premise Mule Server to Anypoint Platform

  1. Stop your on-premise Mule server (if it is currently running)
  2. Navigate to the Anypoint Platform and click Add Server to see the command for adding a server, including the security token.

  3. Setup the MuleSoft Runtime Manager Agent (on Windows, run amc_setup.bat ... ).

    %MULE_HOME%bin> amc_setup -H 12ab3cd4-567e-8fa9-0123-4b56c7de8901---234567 MYSERVER

  4. Start the on-premise Mule Server (on Windows, run mule.bat ).

    %MULE_HOME%bin> mule

Deploy the Mule Application

Evernote On Premise Meaning

  1. In Anypoint Studio, right-click the project -> Export
    • In the Mule folder, choose 'Anypoint Studio Project to Mule Deployable Archive' and click 'Next' to create the deployable file
  2. In the Anypoint Platform Runtime Manager, navigate to Applications and click Deploy Application
    • Name the application
    • Select the on-premise server as the Deployment Target
    • Under 'Application File,' click 'Choose file' -> 'Upload file' and select the project you exported
    • Click 'Deploy Application'

Once the application is deployed to the on-premise server, you will be able to access it from any browser with access to the server. Simply navigate to the server address and port, adding any URL parameters needed for the application.

Evernote Alternative On Premise

At this point, you have deployed a Mule Application for working with Evernote data. Download a free, 30 day trial of the Mule Connector for Evernote and see the CData difference in your Mule applications today.