![]() ![]() ![]() (Visit here to learn more about how to combine datasets together) ![]() You can import data from different sources and combine them together using the Join action. Projects are where you can view and transform your data to prepare it for export. Then, import all of the resources that you need to build the dashboard into the project. Once you have your resources, you can go to the “Workspaces” page and create a new project. Since Zillow provides public links for people to download the dataset, we can choose API integration to import data on Acho. You can see more details about how to connect to these sources here. You can also easily integrate with APIs to import data from other sources. All you need to do is enter your credentials to pull your data into a resource. You can upload flat files such as CSV and Excel files.Īcho also supports connection to a variety of databases and third-party apps, such as Salesforce, HubSpot, and BigCommerce. Import data to Achoįirst, add your datasets to the “Resources” page on Acho. Moreover, it allows users to perform complicated data transformations without writing SQL queries.In this article, I will use a housing price dataset from Zillow to demonstrate how you can build a dashboard on Metabase without connecting to a database. It supports various data sources, including third-party apps and flat files. However, this process is extremely redundant and inefficient, with the use of many intermediate tools.Īnother method is to use a cloud-based data management platform, such as Acho. Metabase can then access your data through the BigQuery data warehouse. ![]() For example, you can import a CSV file into Google Sheets and connect it with BigQuery. The first is to load your data into a database. There are currently two methods to read data from other sources on Metabase. You cannot import data from other sources to Metabase, such as from third-party apps or CSV files. However, it only supports databases at the moment. In addition to being an affordable, open-source software, it offers a user-friendly and intuitive interface that allows anyone to create a dashboard. The values you use for each key are passed unmodified as as parameters to MongoDB.Metabase is quickly becoming one of the more popular business intelligence tools in recent years. Use a count key with any value in your query object Here’s how your JSON object is mapped and sent to MongoDB: MongoDB TokenĪdd a collection key in your query object During execution, Redash will convert it into either a db.collection.find() call or a db.collection.aggregate() call. Write your MongoDB query as a JSON object. You can either switch to a properly signed certificate or just add the ssl_cert_reqs=CERT_NONE option to your Connection String. This usually happens when your MongoDB server is using self signed certificates. For best results, use a connection string of the TroubleshootingĮrror: “SSL handshake failed: certificate verify failed” We’ve had issues with users connecting to MongoDB Atlas free tier accounts because they are on a shared environment. This allows for existing, pre-patch MongoDB sources to still function, while allowing new/modified MongoDB sources to have secret credentials Previously this was not possible as the password would have to be embedded into the Connection String, which was available in plaintext in the UI and REST API.Īs of Redash V10, if a user supplies the Username and/or Password config field(s), Redash will use them to override whatever is set in the connection string when creating the PyMongo client. The intention is to allow users to keep MongoDB passwords secret in the data source configuration. Redash V10 adds the Username and Password fields. ![]()
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