OpenMetadata VS android-analytics-debugger

In this blog post, I have demonstrated how I addressed the challenge of dynamically adjusting the height of a textarea element based on its content, preventing the need for vertical scrolling in the title section of the OpenMetadata Knowledge article page.

How does this compare with https://github.com/open-metadata/OpenMetadata

u/cmcau try https://open-metadata.org much easier to setup , for details https://docs.open-metadata.org and for any support https://slack.open-metadata.org

Then, a pool of tools appeared on the market with features that allow covering some of the challenges cited, especially those related to data cataloging. Informatica's tool is perhaps the best known among the licensed. Among the open source tools, I highlight Data Hub (www.datahubproject.io) developed on LinkedIn, Open Metadata (https://open-metadata.org/) and Amundsen (https://www.amundsen.io /) powered by Lyft. In addition to cataloging and discovering data artifacts, these tools allow for a view of data lineage, including technical documentation and business terms, and building relationships between data artifacts. Also, it is possible to register data owners, the people responsible for the data in those tools. This greatly facilitates access request and evaluation process (which today is a major bottleneck).

Probably, in order to have it integrate with tools like OpenLineage and OpenMetadata and such I will have to make open-source contributions.

We are the team behind OpenMetadata . Our mission is to build a centralized metadata platform that offers data discovery, collaboration, governance and quality. We believe that having tool for each of these categories not only result user frustration but metadata silos.

As anyone ever tried open metadata for data QA testing? Curious about that https://open-metadata.org/

We're looking to PoC https://open-metadata.org/ shortly

Hello everyone, I'm looking for an open-source data lineage app (e.g. tokern, datahubproject, openmetadata).

We at OpenMetadata(https://open-metadata.org) use JsonSchema extensively to define the metadata standards. JsonSchema is one of the reasons we are able to ship and get the project to what it is today in quick time. More about it here https://www.youtube.com/watch?v=ZrVTZwmTR3k

There are some cloud tools such as Avo that can help you create a cloud-hosted tracking plan. A CDP can also help you manage your tracking plans programmatically. Here is my company's partnership with Avo. https://www.rudderstack.com/blog/rudderstack-x-avo/

Ten years ago, there was a popular Ask HN: "what's your startup’s analytics setup?” [0]. Like the poster then (malandrew), I have the same problem in 2023: Selecting analytics solutions for the startup I'm working at has proven to be more daunting than I imagined.

There are many services to choose from and it's not immediately obvious how you should choose from the many offerings to get not only complete analytics coverage but also do so in a way where you can integrate them all to get a complete picture without any mismatch.

There is too much marketing speech copy on the sites of many analytics startups to properly evaluate them without wasting time and effort to signup, configure and use each one long enough to understand the value they provide.

Off the top of my head, there are services like Segment [1], Amplitude [2], Mixpanel [3], Trackingplan [4], Avo [5], Posthog [6], Freshpaint [7], etc.

So ten years later, what are the must-have analytics solutions for startups? What are the best tools for bringing in all the data from the different analytics tools? How should Engineering, Product and Data work together around analytics?

The more details you can provide the better.

[0]: https://news.ycombinator.com/item?id=4707903

[1]: https://segment.com

[2]: https://amplitude.com

[3]: https://mixpanel.com

[4]: https://www.trackingplan.com

[5]: https://www.avo.app

[6]: https://posthog.com

[7]: https://www.freshpaint.io

You may want to check your branding -- https://www.avo.app/

Today we're excited to announce our partnership with Avo. RudderStack and Avo work together to ship analytics tracking faster with better data quality. With Avo, you can design exactly how your events and properties should look, before they are implemented and sent to RudderStack. Avo enables developers to get detailed instructions on how to implement Rudderstack events and tools to validate that the implementation is according to spec.

You need tools to help make that good communication happen. One of the best ways to collaborate on your tracking plan and make sure everyone is up to date on it is to use a tool like Avo. Avo helps you seamlessly share your data best practices, events, and properties with your team by creating a single source of data truth. With it, your team can look forward to more consistent tracking of manageable volumes of data and an easier route to making better product decisions.

When you consolidate feedback into a single source of truth it increases implementation and testing efficiency by creating a single environment (e.g., a shared doc or an easy-to-use tool like Avo 🙌) in which you can surface questions. Not only is it easier to have the relevant context then and there with descriptions, but your data team can be pulled in to answer any questions that might come up. When your data includes all relevant information that’s accessible to all stakeholders at any time, you can expect to see rapid turnaround on required changes and track any conversations about the particular changes made and the conversation about those changes.

We created Avo for makers who were tired of spending more time managing their data than building their products. Avo works with your self-serve analytics tools to offer a guided collaboration layer for Product Managers, Data Practitioners and Engineers. Check out our latest release and get instant feedback on your tracking plan: https://www.avo.app/blog/launching-now-error-proof-your-analytics-with-avo-for-pms

Here at Avo we have a couple of open source libraries for mobile. We have part of one of our main products distributed as a library, the Avo Inspector SDK, and we have our mobile debugger.