data.world has officially leveled up its integration with Snowflake’s new data quality capabilities
data.world enables trusted conversations with your company’s data and knowledge with the AI Context Engine™
Accelerate adoption of AI with the AI Context Engine™️, now generally available
Understand the broad spectrum of search and how knowledge graphs are enabling data catalog users to explore far beyond data and metadata.
Join our Demo Day to see how businesses are transforming the way they think about and use data with a guided tour through the extraordinary capabilities of data.world's data catalog platform.
Are you ready to revolutionize your data strategy and unlock the full potential of AI in your organization?
Come join us in our mission to deliver data for all and data for good!
Are you ready to revolutionize your data strategy and unlock the full potential of AI in your organization?
Save data engineering time by automating communication about data quality, lifecycle status, and context to data consumers. Increase transparency into data pipelines, dashboards, and reports to empower data consumers, increase trust in the organization’s data, and scale your data operations across your data assets and data tools.
Eliminate tedious, manual tasks for data teams by automating data pipeline updates, enhancing stakeholder communication, and automating data workflows. Provide real-time updates to data consumers so they always know the freshness of data feeding their reports and dashboards.
Grow your organization’s data culture and increase trust in your data across data analysts, data scientists, business users, and more. Surface trust signals and contextual insights directly in BI, communications, and collaboration tools that data consumers use.
Accelerate your root cause analysis and issue resolution for data pipelines by using column-level lineage to see upstream and downstream dependencies. View metrics of dashboard and report usage, monitor status history, and more to prioritize and optimize data teams' projects.
Improve DataOps efficiency by using data.world’s Sentry Bots and Hoots to monitor orchestration tools and broadcast updates to data users. Surface updates directly in their everyday data analytics tools, like Tableau and Power BI. Instead of creating more noise with mass emails or general Slack channels about data pipeline issues and outages, Hoots reach the relevant consumers in the reports and dashboards they rely on.
Sidestep the dreaded “this number doesn’t look right” scenario during a dashboard review. Data.world is the pioneer data catalog to integrate with Snowflake’s data quality features. Enable your users to find and leverage trusted data, enriched with essential context and insight.
Plugged into other key data tools like Monte Carlo, Bigeye, Soda, Airflow, and more? data.world’s integrations can provide deeper insight into your data’s accuracy, freshness, and quality metrics.
Empower data consumers to trust and understand their data for richer insights and analysis through seamless data freshness and report life cycle communication. Serve up context about their data, reports, and dashboards from the data catalog via Hoots. Provide links to business terms, metrics, and lineage for consumers to dig in deeper to make data-driven decisions.
Troubleshoot broken data pipelines with data.world’s native lineage, which helps data teams trace data visually from data sources to analytics and BI tools. Query the lineage graph to find all the tables, reports, people, queries, and more that are connected to a certain dataset.
A Hoot surfaces important context about your data; for example, quality and usage information. Hoots live on applications where data consumers make decisions, like Looker, PowerBI, and Tableau. Data producers save time they would otherwise spend answering questions about the state of the data. Hoots also provide important context from the catalog around definitions, lineage, owners, and policies. They ensure that data consumers have whatever they need to confidently use data.
Sentry Bots monitor the data.world Data Catalog Platform and orchestration and observability tools, like Airflow, Monte Carlo, dbt and Matillion. They automate pushing data quality information and health status to the catalog and Hoots.
Data engineers spend up to 30% of their time answering and re-answering questions about data. But still, more than 60% of business users don’t trust the decisions they make using data. Hoots & Sentry Bots close the communications gap with automated in-app notifications on data quality and usage.
In a word: simplicity. Hoots and Sentry Bots’ automated monitoring means data users get information about their data from a wide variety of sources. Through the flexibility of data.world’s cloud-native Data Catalog Platform, this information is all wrapped up in an easy-to-understand trust badge that you can integrate with nearly any web-based data product.
The Hoots automatically surface a wealth of important information, including:
Metric definitions
Data quality updates, including pipeline health and freshness
Report lifecycle status
Analytics on the reports, including usage and ownership
Business glossary definitions
Related policy and PII information
Sentry Bots have an in-app, no code integration with dbt Cloud. They can integrate with any orchestration or observability tools that can make a Rest API call: Airflow, Matillion, and many more. See our documentation on managing Sentry Bots.
A Hoot can be embedded into any web-based application that has been cataloged and supports embeds or markdown. Fully supported BI and analytics tools include Looker, Power BI, Tableau, Sigma, and more. See our documentation on managing Hoots.
See how your DataOps team can set up automated data quality and data freshness updates in data.world’s DataOps application. Broadcast these updates to data consumers in the BI, communication and collaboration tools where they work.
With data.world, Penguin Random House UK’s team created a single source of truth where data analysts, data scientists, and other data consumers can discover data and be assured of a data product’s accuracy and data quality. Today, all of their approved, quality data products are found in data.world with data owners and more than 1,600 measures.
OneWeb’s data team wanted to empower their satellite engineers to find design and performance data across 30+ data lakes. They needed a self-service approach to support their data mesh strategy and enable their data professionals to find trustworthy data products. data.world provides value to OneWeb’s data hub by providing semantic search for better discoverability and data lineage to help data consumers understand and trust data pipelines and increase confidence in their data.
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