For a modern business, data drives effective decision-making processes. Companies need to store large amounts of data, then efficiently run machine learning and BI analyses against their dataset. In addition, they need to protect their data quality and prevent issues like corrupted or missing data that could skew the results of their models and dashboards. … Continued
PALO ALTO, Calif., March 29, 2023 — Anomalo, the complete data quality platform company, today announced that it has successfully achieved Google Cloud Ready – BigQuery and Google Cloud Ready – AlloyDB designations. Anomalo and Google Cloud are used by customers globally. ‍ Today’s announcement follows the October 2022 announcement of Anomalo’s partnership with Google … Continued
Anomalo Deepens its Integration with the Alation Data Catalog As part of Anomalo’s commitment to interoperability, we previously joined Alation’s Open Data Quality Initiative as a founding partner. Our partnership with Alation has resulted in significant growth of mutual customers and a heightened demand for enhanced interoperability. ‍ Today, we’re excited to announce that we’re … Continued
PALO ALTO, Calif., Oct. 12, 2022 — Today at Google Cloud Next, Anomalo, the complete data quality platform company, announced a partnership with Google Cloud to help organizations trust the data they use to make decisions and build products. The combination provides customers with a way to monitor the quality of the data in any … Continued
PALO ALTO, Calif., June 15, 2022 — Anomalo, the complete data quality platform company, today announced that Anomalo is available on Databricks Partner Connect. Partner Connect helps Databricks customers discover validated data, analytics and AI tools and integrate these tools directly within their Databricks Lakehouse. One of Databricks’ first partners in data quality, Anomalo is … Continued
Anomalo is now part of Databricks Partner Connect, which lets Databricks users integrate with select partners directly from within their Databricks workspace. This means customers no longer need to leave the Databricks UI to connect to Anomalo and start automatically monitoring the quality of the data in their Databricks lakehouse.. If you haven’t tried Anomalo … Continued
At Anomalo, we believe data quality should always be highly visible and easy to access, no matter what tools your business uses for its data stack. That’s why we prioritize interoperability, working closely with data warehouse, lakehouse, and catalog providers to ensure that our platforms fit together seamlessly. As part of this goal, we’re thrilled … Continued
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 health of their tables. Unlike traditional rules-based approaches to data quality, … Continued
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 quality of the data in any table … Continued