![]() From a data security perspective, I don't want every employee to have free access to all Dashboards, so each Dashboard needs to have a different access level. After having the chart, the next step is to typeset the relevant chart and generate a report page (Dashboard). The types of charts we need are also commonly used, including line charts, column charts, pie charts, and so on. Let’s start with the functional requirements, our data warehouse uses Amazon Redshift(If you haven't heard of Redshift, think of it as PostgreSQL optimized for big data), so most of the actual use cases are to visualize the results of a SQL query. Metabase I just tried it out, but I think this is a very interesting project, so I will talk to you about my views on it.Ĭhoosing a hand-picked tool that meets my needs functionally is definitely the first priority. The first two I have actually used in the production environment, which will be highlighted in this article. However, for many small companies, the license cost of these services is not a small expense, and there is a feeling of "killing the chicken with a knife." In today's open source software, what are the solutions that can be chosen in terms of data visualization? Today I will introduce three more well-known projects, namely Superset, Redash and Metabase. There are many mature commercial solutions, such as the old Tableau, Qilk, the new generation of Looker, the domestic FineBI and so on. Data visualization is a core function in Business Intelligence (BI). ![]() If you often see a data analysis colleague, execute the query in the SQL client, copy/paste the results into Excel and make a chart, then your company lacks a reliable data visualization platform. To use data to tell a story, charts are essential. ![]()
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