#Metabase changelog how to#
#Metabase changelog code#

The benefits of a modeling layer in the BI tool This is made possible by Looker's modeling (or semantic) layer вЂ“ LookML вЂ“ that lets data developers in the organization tell the tool how data works and set guardrails for the end users. So what about data quality? Simply put, Looker makes it possible for a large number of data users in an organization to explore, analyze, and dashboard data without writing code, and, therefore, helps them avoid the pitfalls of bad or incorrectly used data. The resulting product has gained wide adoption and became a default BI tool in the modern data stack. Looker took a different path by combining the analyst-centric no-code exploratory experience with an engineer-centric modeling layer expressed in version-controlled code, and by being 100% cloud-based. But the desktop origin of both products together with the UI-first approach made the overall experience clunky. Some of the big whales of BI such as Tableau and PowerBI took a step further and allowed users to define relationships between datasets, dimensions, and metrics in the UI that added some guardrails. However, in a modern context, this is too much of an ask from the users: data is massive, complex, and most data users don't know enough about it to be able to write SQL themselves. Most BI tools adopted a hands-off approach to data quality by expecting the users to bring the properly cleaned and modeled data into the tool, optimizing for seamless SQL-to-chart flow. However, we can't forget about the business intelligence (BI) layer that serves as the front end to data and, therefore, plays a huge role in ensuring that the data users are making their decisions by looking at the right data in the right way. Too often, discussions about data quality are centered on issues in ETL pipelines: missing values, breaking changes, infra downtime, and so on. To explain why Lightdash matters, it's helpful to contemplate what's so special about Looker (besides it being acquired by Google for $2.6B) and how it managed to become the most data-quality-aware BI tool on the market. It may not be as mature as other open-source products like Metabase, Querybook, or Superset, but it is different in a few essential ways.

Railway.app - Bring your code, weвЂ™ll handle the rest.Lightdash is an open-source alternative to Looker that natively integrates with dbt.

Hasura - Instant GraphQL on all your data.

Causal.app - Business Planning Platform.

v - Open Source Headless Business Intelligence.

Appsmith - Open source framework to build internal tools.Mission ctrl - Organisation engineering as a service.рџЋ¬ The Paradox of Control - NATO C2COE C2 Webinar 2021 - Ben Ford.рџЋ§ Ship It! #4 OODA for operational excellence.Gerhard Lazu вЂ“ Twitter, GitHub, Website.Ben Ford вЂ“ Twitter, GitHub, LinkedIn, Website.Learn more and get a demo at chronosphere.io. Teams choose Chronosphere to help them move faster than the competition. When it comes to observability, teams need a reliable, scalable, and efficient solution so they can know about issues well before their customers do. Chronosphere вЂ“ Chronosphere is the observability platform for cloud-native teams operating at scale.Retool вЂ“ The low-code platform for developers to build internal tools - Some of the best teams out there trust RetoolвЂ¦Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more вЂ“ the developers at these teams trust Retool as the platform to build their internal tools.Set thresholds for your alert based on an increase in error count, a spike in load time, or new issues introduced in the latest deployment.

Raygun вЂ“ Never miss another mission-critical issue again - Raygun Alerting is now available for Crash Reporting and Real User Monitoring, to make sure you are quickly notified of the errors, crashes, and front-end performance issues that matter most to you and your business.

See how other teams are using this awesome feature at /code-insights

#Metabase changelog code#

Sourcegraph recently launched Code Insights - now you can track what really matters to you and your team in your codebase.

Sourcegraph вЂ“ Transform your code into a queryable database to create customizable visual dashboards in seconds.

The tools are important, and we talk about specific ones in the second half of this episode, but there are rules and principles that govern how people interact, and we need to start there.Д¬hangelog++ members save 6 minutes on this episode because they made the ads disappear. The correct order is: people, process & technology.

#Metabase changelog how to#

Today we are talking how to optimise sociotechnical systems with Ben Ford, founder & CEO of Mission Control.