Anomalo

05/23/2022

Databricks customers can now use Anomalo, the complete platform, to understand and monitor the quality health of their tables.

An organization’s data quality erodes naturally over time as the complexity of the data increases, dependencies are introduced in code, and third-party data sources are added. Databricks customers can now use Anomalo, the complete data quality platform, to understand and monitor the data quality h...

05/20/2022

We're proud to announce that we've been added to CB Insights’ Annual AI 100 ranking, showcasing the 100 most promising private artificial intelligence companies in the world.

The AI 100 is CB Insights' annual list of the 100 most promising private AI companies in the world. This year’s winners are working on diverse solutions designed to recycle plastic waste, improve hearing aids, combat toxic online gaming behavior, and more.

05/18/2022

If you haven't seen it yet, check out this great article by Jeremy Stanley about building data factories...rather than data warehouses. This is an interesting take on how fit in the modern data stack from a leader in .

The data warehouse is a broken metaphor in the modern data stack.

04/12/2022

Data warehouses? Not quite. More like factories. Read more in Jeremy Stanley’s recent article on The New Stack.

We don’t store data in warehouses; we operate data factories without quality controls.

03/11/2022

Hear Elliot Shmukler, Anomalo Co-Founder/CEO and Jeremy Stanley, Co-Founder/CTO at Anomalo talk about how integrity and changes can impact both technology and business decisions.

Elliot Shmukler and Jeremy Stanley talk about how data integrity and changes can impact both technology and business decisions.

02/18/2022

Listen to a conversation between Kyle Polich and Jeremy Stanley about the innovative ways Anomalo is making it easy for driven companies to learn about issues before anyone else does on a recent episode of the Software Engineering Daily podcast.

When writing code, test driven development is a common accepted methodology to ensure the development of high quality software. Your organization’s data, on the other hand, is an entirely different challenge. Data can be missing due to human error, a failure with a 3rd party provider, a botched re...

02/09/2022

Al Martin chats with Elliot Shmukler about how even the most sophisticated companies in the world run into issues during the day to day operation of their business. Hear how Anomalo helps stop some of the most common quality problems companies face today.

01/20/2022

On a recent episode of Data Engineering Podcast, Tobias Macey interviews Anomalo founders Elliot Shmukler and Jeremy Stanley about automated quality management through ML. Listen to the commitment Anomalo makes to help your team say goodbye to bad data.

An interview with the founders of Anomalo about how they are using statistical machine learning systems to automate the detection and diagnosis of data quality issues that occur in your data warehouse. Data quality control is a requirement for being able to trust the various reports and machine lear...

01/13/2022

Anomalo CEO shares insights about the significance of quality in enterprises on a recent episode of and The Future of Work.

Elliot Shmukler, CEO and founder of Anomalo, was recently featured as a guest on the AI and the Future of Work podcast with Dan Turchin.

01/05/2022

It's official! Anomalo is excited to be a Snowflake Inc. Select Partner. Snowflake users can easily begin monitoring the quality of their data with Anomalo in under five minutes.

PALO ALTO, Calif., Jan. 5, 2022 -- Anomalo, the complete data quality platform company, today announced a partnership with Snowflake, the Data Cloud company, to help customers trust the data they use to make decisions and build products. The combination provides customers with a way to monitor the q...

11/10/2021

New post from machine learning engineer Vicky Andonova on how to root cause data quality issues:

Finding the root cause of data quality issues automatically.