- #Metabase bigquery how to#
- #Metabase bigquery software#
- #Metabase bigquery code#
- #Metabase bigquery password#
For example, if TLS 1.1 is specified, TLS 1.0 cannot be used. The minimum version of TLS allowed for encrypting connections. The Google BigQuery Connector supports multiple catalogs, the equivalent of Google BigQuery projects. This project is the default project the Google BigQuery Connector queries against.
#Metabase bigquery password#
The specified value is the password your key file is encrypted with. This option allows you to use a P12 private key file with a non-standard password.
#Metabase bigquery code#
Validates the confirmation code or the key. Yes, when Service Authentication is selected. The code obtained from the Google sign-in page. Yes, when User Authentication is selected. Redirects to a Google sign-in page where you can obtain a confirmation code.
#Metabase bigquery how to#
Read more about how to configure permissions for the Google service account in the Google documentation. Select User Authentication or Service Authentication mechanisms.įor Service Authentication, the Google service account must be BigQuery Job User for connections to multiple catalogs, or BigQuery Data Viewer for connections to a single catalog. Intelligent data analytics, with practically no drawbacksĪll in all, Metabase manages to tick all the right boxes by allowing users to simplify the whole process of organizing, sharing and analyzing large datasets.Ĭonsidering that it's open source and the fact that it looks good and packs a set of very useful features, we can safely say that this one of the best alternatives for other similar tools for data visualization out there that require payment.Account properties that can be configured Account property You and your team can create, organize and share results, datasets and even save visualizations for easier future access. Of course, the Dashboard is the place where most of the work will take place.
This said, start off by 'asking questions' and continue by exploring the app's numerous ways to visualize data, including maps and some beautiful pie, line and bar charts. Getting to the primary focus of the utility, you can rest assured that Metabase has what it takes for data analyzing and organizing data. Visualize data within a well-designed web-based interface Since we are on the subject, we should point out that this tool boasts one of the most attractive, modern and smooth-running interfaces found in this category.
If the connection process is successful, it is only at this point that you will be greeted by the app's web-based interface. If simply want to explore the app's capabilities, feel free to use the available sample datasets. The next step requires you to undergo a straightforward log-in process, logging in and connecting Metabase to your database. Once you launch the application, it should automatically fire-up a Metabase server which can be easily accessed via any modern web-browser by entering the following address: Streamlined configuration process Before anything, please note that you need to make sure that Java is present on your computer's system. Getting started with Metabase is not what you would call a walk in the park but it's not awfully difficult either.
#Metabase bigquery software#
Put simply, Metabase is a stylish and well-rounded piece of software that allows you to analyze, organize and filter collections of data without having to undergo complicated procedures like manually having to write queries or other database-related commands.īefore anything, you should know that this a very versatile tool as it not only works on all major operating systems out there, but it also comes with support for some of the most popular database management systems, namely MySQL, Postgres, MongoDB, SQL Server, AWS RedShift, Google BigQuery, Druid, H2 and SQLite. A reliable, open-source app for data visualization Fortunately, you can make your life a bit easier, at least in this respect, with the help of specialized tools for data visualization, such as Metabase. Analyzing or organizing large datasets is one of those things that has to potential to offer you with a massive headache.
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