Refresh Dashboards after Caching Table in MySQL

After creating a cached table in MySQL, run a POST command against the Power BI API to refresh specific dashboards.

Refresh Dashboards after Caching Table in MySQL

Solution Overview

In order to increase their speed and usability, dashboards often need to reference the smallest sets of data possible. As a result, many teams run SQL queries that store the content of views as a table to reduce the amount of processing that has to be done each time the data is accessed. This setup means that sometimes, your dashboards can be running with out of date data that isn't always updated correctly with static refresh times. With Shipyard, you can automate the execution of any DML statements against MySQL which, once successful, will run a POST request against the Power BI, Tableau, or Looker API to refresh your dashboard with the newly available data. With this setup, you can guarantee that your dashboards will always have the latest data.

Connects:

MySQL

To

HTTP

Used for:

Reporting

Used by:

Business Intelligence

Data Analyst

Analytics Engineer

See it in Action

Watch the video below to see how quickly you can get this solution up and running in Shipyard!
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Build it Yourself in Under 5 Minutes

It's easy to
Refresh Dashboards after Caching Table in MySQL
using Shipyard. Select the Blueprints you need, fill out a form, and connect everything together.

There's no code for you to touch or infrastructure for you to manage, but you can always incorporate your own code if you would like.

We do all of the heavy lifting so you can focus on building more data solutions for your business.

1

Create a New Fleet
Click on "New Fleet" anywhere in the application and select a Project.

2

Select a Blueprint
Search for
MySQL - Execute Queries
and
HTTP - Requests
Blueprints and fill out the required fields.

3

Drag and Drop Vessels
Drag and Drop to connect your Vessels together.

4

Set Triggers
Create schedule or webhook Triggers to automate your work.

Experience how quickly you can build solutions with

MySQL

and

HTTP

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