![]() In the previous blog of this series, we explained how to use Python to load data into Supabase. Then, using Metabase’s intuitive interface, you can cut through the data noise and focus on what’s essential for your business. With Metabase, a powerful visualization tool, you can quickly turn your data into easy-to-understand visuals like graphs, pie charts, flow diagrams, and much more. When you want to accomplish this task with little or no code (not even SQL), you might consider using tools like Metabase. One way to create customized visuals from your data would be to use data visualization libraries in Python like Matplotlib, Seaborn, Ggplot2, Plotly, or Pandas. With a programming language like Python to analyze your data and transform data into visual representations, you can effortlessly tell the story of your business. SHA-256 checksum for the 0.35.Data helps organizations make better decisions. Make sure to back up your Metabase database before you upgrade! Need help? Check out our upgrading instructions. jar of the release, or get the latest on Docker. Raw queries with "ON" date filter are broken for Druid ( #6290) Upgrading.Clicking link to unsaved question when logged out takes you to 404 page after login ( #6317).Auto-refresh doesn't work for dashboards if redirected after login ( #7244).Cannot read property 'lat' of null - Allow filter empty/not empty (like for dates) ( #7361).Not possible to restore visibility after setting "Do Not Include" in Data Model ( #10297).Line/area/bar charts are hiding x-axis labels too aggressively when scale is set to Timeseries ( #11158).Cannot save question when results are empty ( #11256).Zero-dates cause Pulses to fail ( #11665).Object Details (single record view) places the results outside of view ( #11887).Custom Column "ERROR: missing FROM-clause entry for table" Postgres ( #12304).Unable to create new personalized questions ( #12323)."Error reducing result rows" exception when downloading full results ( #12339).Cannot view/edit table-level permissions for databases that are not schema-based ( #12372).Create Slack Bot button has gone missing ( #12382).Adding custom field result in not being able to find columns from table ( #12397).Cannot query newly created Google Analytics databases ( #12411).Fixed an issue where the Metabase logo was displaying too small ( #12441).Custom columns failing when joined data has over about 30 columns ( #12481).Fingerprinting breaks on infinities ( #12511).Custom column concat function errors on Amazon Redshift when using 3 or more parameters ( #12544).Added documentation for the MAX_SESSION_AGE environment variable - thanks to for the help.Fixed incorrect Content-Type in part of the API - thanks to for the PR.Drastically reduced memory usage for streaming large XLSX files - thanks to for the PR. ![]() Changed map tile server URL to HTTPS ( #12431).Better site URL detection when Metabase is run behind a proxy ( #12528).Turkish translation is now available again ( #12557).As part of this release, we also determined that our SparkSQL driver was susceptible to the same issue and we have added additional escaping of user input to that driver as well. In release v0.35.4, we have updated the BigQuery driver to support parameterized queries, which will prevent SQL injection attacks. While the vast majority of our database drivers utilize parameterized queries, our original implementation of BigQuery did not as it wasn’t supported at the time. Metabase was recently informed of a potential SQL Injection vulnerability when connecting to Google BigQuery. This update contains an important security fix and is a recommended update for users who have a BigQuery or SparkSQL database connection in Metabase.
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