![]() ![]() Why would you want to have Cube in your data pipeline? Data consistency.Ĭube will deliver consistent data to all teams using Metabase. X-raying a table will antomagically generate a bunch of questions that slice the table’s records in different ways and save it as a dashboard.Ĭube is the headless BI platform for accessing data from modern data stores, organizing it into consistent metrics definitions, and delivering them to downstream applications. But, X-ray is by far the most amazing feature in Metabase. Or, use the search bar to find data, metrics, segments, dashboards, models, and questions. Collections organize questions, models, dashboards, and other collections. You can even embed the full Metabase app, which allows you to do things like delivering multi-tenant, self-service analytics.įind things and stay organized. You can share the dashboard by sending the URL to your co-workers, or by embedding them using iframes. You can add questions to a dashboard and include filters and connect them to fields on questions to narrow the results. Awesome if you're proficient with SQL!Įmbed charts and share your results. Choose between either the Notebook editor to ask sophisticated questions with joins, filters, and aggregations, or Native queries to compose questions in the database’s native query languages. ![]() Use the query builder to filter and summarize data. You can save questions, group them into dashboards, and share both questions and dashboards with the your team. You can use Metabase to ask questions about your data, build self-service analytics, or even embed Metabase in your front-end data application to let your customers explore data on their own. It provides an easy way for everyone in your company to work with data like an analyst. ![]() Metabase is an open-source business intelligence platform with a low entry barrier, smooth visual interface, and generally pleasant user experience. In early December, we're hosting a webinar on replacing Looker with Metabase and Cube. Check out the live demo as well! If stuck, you can always refer to the source code on GitHub. ![]() Here’s what your Metabase dashboard will look like after we integrate it with Cube. Pairing it with Cube, the headless BI platform, will provide a consistent data model making it easy to build self-service analytics, shared across multiple teams. It’s the easy, open-source way to help everyone in your company work with data like an analyst. With Metabase as the business intelligence platform, your team doesn’t need to speak SQL. Sharing and embedding Metabase dashboards.October 27, 2022įormer Senior Developer Advocate at Cube Table of Contents We ensure that mobile publishers worldwide now have the opportunity to collect the data that they need, store it in the way they want, and optimize their campaign activities using off-the-shelf or custom analyses.Self-service analytics with Metabase and Cubeīusiness intelligence for everyone, with consistency and without the SQL barrier. Enabled by a plug-and-play model, with Growth FullStack mobile marketers no longer need to rely on in-house data engineering to unify and understand complex data sets, as they can find everything they need on our platform. Growth FullStack empowers developers to adapt to a privacy-first world and continue pursuing their marketing analytics goals with ease. What are the benefits of using Metabase with Growth FullStack? For those who are comfortable with using SQL, however, the option exists. Its data visualisation capabilities are exceptional and can be showcased in a user-friendly way-without using SQL. Metabase can be used to share live dashboards, automated reports, and business questions across the organisation. With Metabase, you can easily share live dashboards, automated reports, and questions with the rest of your team. Its data visualization capabilities are exceptional and can be showcased in a user-friendly way-without using SQL. It also follows a simple and fast setup process. Metabase is an easy-to-use, open source business intelligence tool that lets you analyze data from a variety of data destinations and sources. ![]()
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