Alvin

Alvin provides a range of tools that help you cut cloud costs, reduce complexity, and produce the high quality data you need to power complex use cases.

[Alvin @AlvinDotAI]

Is it possible to achieve high data quality at scale without good metadata practices? 🤔

Our CTO, Martin Sahlen, doesn't think so. What do you think?

[Paul Grau @graycoding]

I like that @AlvinDotAI is big on sharing knowledge openly. Tomorrow @yashika51 @MartinSahlen @andrewrjones and Gabriel will be talking about the Modern Data Stack. Check it out if you're interested.
https://t.co/J6AcDxkcfV

[Alvin @AlvinDotAI]

Data Quality = Perfect Data? 🤔

In this week's article, you'll understand what data quality means from the point of view of 3 different professionals: a machine learning engineer, a CTO and a data engineer.

Find out if they share the same perspective: https://t.co/7nCpkeA1CA

[Alvin @AlvinDotAI]

What does data quality mean to you?

As a team of one and a consultant in the early days of her career, Sarah Floris realized pretty quickly the impact of having clean high-quality data in her projects.

Watch the full conversation: https://t.co/Pr7kTbmyyn

[Alvin @AlvinDotAI]

In this article this week's article, our CTO talks about data debt and how he thinks companies and teams should tackle this challenge: https://t.co/U3r8ZrC7ZN

[Alvin @AlvinDotAI]

The rise of the modern data stack has enabled data teams to quickly build complex infrastructure.

Unfortunately, good practices did not always follow, and many teams are now battling an increasing amount of data debt.

[Alvin @AlvinDotAI]

Do you know what your metadata is doing right now? Is it lying around, being ignored? 👀

All this beautiful data can be leveraged to better understand your environment and deliver business value. This week on the blog we’re digging into how: https://t.co/h4fO4lZ2On

[Alvin @AlvinDotAI]

Like most of us when we were 17, data lineage is deeply misunderstood.

This article looks into what it actually is, and the different ways to implement it in your organization: https://t.co/w0fURVHwe5

[Alvin @AlvinDotAI]

Data lineage's benefits are irresistible ❤️

But they are not always easy to grasp, and @itsgabsferreira has witnessed recurring misconceptions in data communities.

To clarify, he addresses the most prevalent ones in this week's article: https://t.co/AXx0khDu0A

[Alvin @AlvinDotAI]

Struggling with errors in data pipelines? 🤔

Unity's in-house data lineage solution provided metadata for pinpointing issues and informing stakeholders. Plus, it optimized data assets and improved collaboration.

Find out what's the ROI of data lineage: https://t.co/ACnVlbl7IR

[Alvin @AlvinDotAI]

How to integrate BigQuery, dbt, Airflow, and GitHub Actions with Alvin?

A while ago, our engineering manager wrote a guide on how to do it and you'll be impressed by how easy it is: https://t.co/1Nh5WkHptV

[Alvin @AlvinDotAI]

If data lineage is the answer, what is the question?

In this article, we take a step back to understand what are the questions that indicate you’re probably in need of some data lineage.

Not to be missed: https://t.co/U8q7nIhOjO

[Alvin @AlvinDotAI]

Have you ever dreamed about governing your data from the terminal? Okay maybe not. But we’re pretty confident once you try it, you’ll wonder how you ever lived without it.

That's why we built a CLI that can do everything our GUI can: https://t.co/4uY7tvylEX

[Alvin @AlvinDotAI]

We talk about data lineage A LOT (you may have noticed).

This time, we’re going to shut up and let some data practitioners who’ve implemented it at their companies explain what it means to them 🙃

Watch the full conversation: https://t.co/ACnVlbl7IR

[Alvin @AlvinDotAI]

Get ready for a monthly update on all things Alvin!

Our newsletter is the go-to source for the latest product updates, articles, videos, expert insights about the modern data stack, and early access to our upcoming webinars and LinkedIn lives.

Sign up: https://t.co/JrxqMeD6AV

[Alvin @AlvinDotAI]

Exciting news! We're SOC 2 Type I & II certified: your data is safe with us. Proud of our team's hard work & dedication to security. Will continue to pursue additional certifications.

Check out our article for more info on what this means: https://t.co/sPPDahBJPB

[Alvin @AlvinDotAI]

Friday evening plans disrupted by CFO's urgent Slack request for a broken dashboard fix?

Looker + Alvin = stress-free solution 💚

Easily visualize and solve this using our automated data lineage solution, with regression testing & more.

Try it now free: https://t.co/Em4JTQZMXH

[Alvin @AlvinDotAI]

In an ideal world, there is a CDO championing data in the company at the executive level.

But when this isn’t the case, data teams still need a champion to make sure it gets the recognition and investment it deserves.

Check out the full video: https://t.co/bYsd1sLU8o

[Alvin @AlvinDotAI]

Our engineering manager Ricardo Mendes wrote a comprehensive guide on how to integrate Alvin with BigQuery, dbt, Airflow, and GitHub Actions.

Even if you are not an Alvin user, check it out to see how easy it is to do this: https://t.co/1Nh5WkGREn

[Alvin @AlvinDotAI]

• Impact analysis to test your changes and avoid broken pipelines;
• Usage statistics for tables and columns;
• A way to keep track of your execution pipelines;
• See which people and downstream tools are consuming your assets.

Sign up now to try: https://t.co/JKRWC39NXB

[Alvin @AlvinDotAI]

Automated column-level lineage for @databricks? Yeah, we got it 💪

Databricks has a bunch of capabilities that make it easy to create and maintain data pipelines: its cloud-based platform allows data engineers to easily set up and scale them.

[Alvin @AlvinDotAI]

Given its boom in popularity, we felt it was a no-brainer to support it. Easier said than done, but we’re proud to announce the integration is now LIVE 🔥

After integrating Databricks with Alvin, you'll get:
• Automated column-level lineage;