PALO ALTO, Calif., May 23, 2022 (GLOBE NEWSWIRE) -- Anomalo, the complete data quality platform company, today announced support for Databricks, the Data and AI Company, to help customers build confidence in the data they use to make decisions and build products. Anomalo customers can now connect to their Databricks Lakehouse and start monitoring the quality of the data in any table, without writing code, configuring rules or setting thresholds.
A leader in the data warehousing and machine learning space, Databricks helps organizations streamline their data ingestion and management and make that data available for everything from business decision-making to predictive analytics and machine learning.
However, dashboards and data-powered products are only as good as the quality of the data that powers them. When scaling their data efforts, many companies quickly encounter one unfortunate fact: much of their data is missing, stale, corrupt or prone to unexpected and unwelcome changes. As a result, companies spend time dealing with issues in their data rather than unlocking that data’s value and are at risk of silent failures in the data that might go undetected for months or more.
Anomalo addresses the data quality problem by monitoring enterprise data and automatically detecting and root-causing data issues, allowing teams to resolve any hiccups with their data before making decisions, running operations or powering models. Anomalo leverages machine learning to uncover a wide range of data failures with minimal human input. If desired, enterprises can fine-tune Anomalo’s monitoring through the no-code configuration of metrics and validation rules. This is in contrast to legacy approaches to monitoring data quality that require extensive work writing data validation rules or setting limits and thresholds.
Databricks customers can now begin monitoring the quality of their data with Anomalo in under five minutes. They simply connect Anomalo’s data quality platform to their Databricks account and select the tables they wish to monitor. No further configuration or code is required.
“The Databricks Lakehouse Platform allows teams to unify their data engineering, analytics, and machine learning use cases all on a single platform. That makes Databricks a perfect partner in Anomalo’s vision of providing automated data quality monitoring for the entire enterprise,” said Elliot Shmukler, co-founder and CEO of Anomalo.
“Whether you’re using your Databricks Lakehouse for analytics or machine learning and AI, your results are only as good as the quality of the underlying data. So, we’re excited to partner with Anomalo to give Databricks customers a great tool for automatically detecting and understanding the root-causes of data issues – thus preventing such issues from leading to incorrect BI dashboards or broken machine learning models,” said Roger Murff, VP, ISV Partners at Databricks.
- Read Anomalo and Databricks’ Detecting Stale, Missing, Corrupted, and Anomalous Data With Anomalo blog: www.anomalo.com/post/detecting-stale-missing-corrupted-and-anomalous-data-with-anomalo
- Visit Anomalo at Databricks’ DATA+AI Summit 2022 taking place June 27-30 in San Francisco and virtually: https://databricks.com/dataaisummit/north-america-2022
Anomalo helps enterprises build confidence in the data they use to make decisions and build products. Enterprises can simply connect Anomalo’s complete data quality platform to their data warehouse and begin monitoring their data in less than 5 minutes, all with minimal configuration and without a single line of code. Then, they can automatically detect and understand the root-cause of data issues, before anyone else. Anomalo is backed by Norwest Venture Partners, Foundation Capital, Two Sigma Ventures, Village Global and First Round Capital. For more information, visit https://www.anomalo.com/ or follow @anomalo_hq.
Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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