Demio Data Integration with Snowflake

With Portable, integrate Demio data with your Snowflake warehouse in minutes. Access your cloud-based webinar solution data from Snowflake without having to manage cumbersome ETL scripts.

The Two Paths to Connect Demio to Snowflake

There are two ways to sync data from Demio into your data warehouse for analytics.

Method 1: Manually Developing a Custom Data Pipeline Yourself

Write code from scratch or use an open-source framework to build an integration between Demio and Snowflake.

Method 2: Automating the ETL Process with a No-Code Solution

Leverage a pre-built connector from a cloud-hosted solution like Portable.

How to Create Value with Demio Data

Teams connect Demio to their data warehouse to build dashboards and generate value for their business. Let’s dig into the capabilities Demio exposes via their API, outline insights you can build with the data, and summarize the most common analytics environments that teams are using to process their Demio data.

Extract: What Data Can You Extract from the Demio API?

Demio is a cloud-based webinar solution used for launching and managing webinars, facilitating engagement with clients.

To help clients power downstream analytics, Demio offers an application programming interface (API) for clients to extract data on business entities. Here are a few example entities you can extract from the API:

Ping
Event
Report

You can visit the Demio API Documentation to explore the entire catalog of available API resources and the complete schema definition for each.

As you think about the data you will need for analytics, don’t forget that Portable offers no-code integrations to other similar applications.

Regardless of the SaaS solution you use, it’s important to find a cloud-based webinar solution with robust data available for analytics.

Load: Which Destinations Are Best for Your Demio ETL Pipeline?

To turn raw data from Demio into dashboards, most companies centralize information into a data warehouse or data lake. For Portable clients, the most common ETL pipelines are:

Once you have a destination to load the data, it’s common to combine Demio data with information from other enterprise applications like Jira, Mailchimp, HubSpot, Zendesk, and Klaviyo.

From there, you can build cross-functional dashboards in a visualization tool like Power BI, Tableau, Looker, or Retool.

Develop: Which Dashboards Should You Build with Demio Data?

Now that you have identified the data you want to extract, the next step is to plan out the dashboards you can build with the data.

As a process, you want to consume raw data, overlay SQL logic, and build a dashboard to either 1) increase revenue or 2) decrease costs.

Replicating Demio data into your cloud data warehouse can unlock a wide array of opportunities to power analytics, automate workflows, and develop products. The use cases are endless.

Now that we have a clear sense of the insights we can create, let’s compare the process of developing a custom Demio integration with the benefits of using a no-code ETL solution like Portable.

Method 1: Building a Custom Demio ETL Pipeline

To build your own Demio integration, there are three steps:

Navigate the Demio API documentation
Make your first API request
Turn an API request into a complete data pipeline

Let’s walk through the process in more detail.

How to Interpret Demio’s API Documentation

When reading API documentation, there are a handful of key concepts to consider.

Authentication

There are many common authentication mechanisms. OAuth 2.0 (Auth Code and Client Credentials), API Keys, JWT Tokens, Personal Access Tokens, Basic Authentication, etc. For Demio, it’s important to identify the authentication mechanism and how best to incorporate the necessary credentials into your API requests.

Every API request requires Authorization. Authorize in two ways:

Sending a key/secret via Headers
Using a Query string.

Resources

It’s important to identify the Demio API endpoints you want to use for analytics. Most APIs offer a combination of GET, POST, PUT, and DELETE request methods; however, for analytics, GET requests are typically the most useful. At times, POST requests can be used to extract data as well.

For Demio, the Ping via Headers endpoint is a great place to get started.

Request Parameters

For each API endpoint you would like to use for analytics, you need to understand the method (GET, POST, PUT, or DELETE) and the URL, but there are other considerations to take into account as well. You should look out for pagination mechanics, query parameters, and parameters that are added to the request path.

Some API endpoints require unique identifiers from a previous API response to be included in the URL path. For instance, to get a report of all events, you need a date_id that is returned from another endpoint.

How Do You Call the Demio API? (Tutorial)

Follow the instructions above to read the Demio API documentation
Identify and collect your credentials for authentication
Pick the API resource you want to pull data from
Configure the necessary parameters, method, and URL to make your first request (e.g. with curl or Postman)
Add your credentials and make your first API call . Here is an example request using curl (without real credentials):

curl --include \
     --header 'Api-Key: IG8a1PUHxa49rn3q250LVVkF84p5w03L' \
     --header 'Api-Secret: 1Wf20cConSV1zFiw'  \
  'https://my.demio.com/api/v1/ping'

How Do You Maintain a Custom Demio to Snowflake ETL Pipeline?

Making a call to the Demio API is just the beginning of maintaining a complete custom ETL pipeline.

Here is a getting-started guide to building a production-grade pipeline for Demio:

For each API endpoint, define schemas (which fields exist and the type for each)
Process the API response and parse the data (typically parsing JSON or XML)
Handle and replicate nested objects and custom fields
Identify which Demio fields are primary keys and which keys are required vs. optional
Version control your changes in a git-based workflow (using GitHub, GitLab, etc.)
Handle code dependencies in your toolchain and the upgrades that come with each
Monitor the health of the upstream API, and —when things go wrong— troubleshoot via the status page, reach out to support, and open tickets
Handle error codes (HTTP error codes like 400s, 500s, etc.)
Manage and respect rate limits imposed by the server

We won’t go into detail on all of the items above, but rate limits are a great example of the complexity found in a production-grade data pipeline.

Rate Limits

The following rate limits exist for all users, in order to protect our system from spam attacks.

180 requests per minute

Any requests over 180 within a 60-second period will result in an error.

Daily API Calls

The total number of API calls you can make to your account each day using the Demio API or any third-party tools like Zapier resets every 24 hours at 00:00 UTC.

Free Trials

Free trials account are able to make up to 100 API calls per day. Customers

Paying customers are able to make up to 5,000 API calls per day.

If you need more than 5,000 daily API calls, you may request an increase here. Limit increases will be approved on a case-by-case basis.

If you don’t respect rate limits, and if you can’t handle server responses (like 429 errors with a Retry-After header), your pipeline can break, and analytics can become out-of-date.

What Are the Drawbacks of Building the Demio ETL Pipeline Yourself?

You can probably tell at this point that there is a lot of work that goes into building and maintaining an ETL pipeline from Demio to your data warehouse.

If you want less development work, faster insights, and no ongoing responsibilities, you should consider a cloud-hosted ETL solution.

Let’s walk through the setup process for a no-code ETL solution and its benefits.

Method 2: Using a No-Code Demio ETL Solution

No-code ETL solutions are simple. Vendors specialize in building and maintaining data pipelines on your behalf. Instead of starting from scratch for each integration. Companies like Portable create connector templates that can be leveraged by hundreds or thousands of clients.

Step-By-Step Tutorial for Configuring Your Demio ETL Pipeline

Off-the-shelf ETL tools offer a no-code setup process. Here are the instructions to connect Demio to your cloud data warehouse with Portable.

Create an account (no credit card required)
Add a source —search for and select Demio
Authenticate with Demio using the instructions in the Portable console
Select Snowflake and authenticate
Set up a flow connecting Demio to your analytics environment
Run your flow to replicate data from Demio to your warehouse
Use the dropdown to set your data flow to run on a cadence

What Are the Benefits of Using Portable for Demio ETL?

No-Code Simplicity

Start moving Demio data in minutes. Save yourself the headaches of reading API documentation, writing code, and worrying about maintenance. Leave the hassle to us.

Easy to Understand Pricing

With predictable, fixed-cost pricing per data flow, you know exactly how much your Demio integration will cost every month.

Fast Development Speeds

Access lightning-fast connector development. Portable can build new integrations on-demand in hours or days.

Hands-On Support

APIs change. Schemas evolve. Demio will have maintenance issues and errors. With Portable, we will do everything in our power to make your life easier.

Unlimited Data Volumes

You can move as much data from Demio to Snowflake as you want without worrying about usage credits or overages. Instead of analyzing your ETL costs, you should be analyzing your data.

Free to Get Started

Sign up and get started for free. You don’t need a credit card to manually trigger a data sync, so you can try all of our connectors before paying a dime.