Data engineering teams are responsible for building and maintaining the data pipelines that power data-driven applications and analytics. They need to ensure that the data they work with is accurate, available, and usable throughout its life cycle.
Blindata can help data engineering teams increase their productivity, eliminate redundancies, and share knowledge across teams.
Define and apply data quality rules and validation checks to ensure that your data is consistent, complete, and accurate. Reduces the time and effort spent on troubleshooting, which can consume more than half of an analytics team’s time.
Discover and catalog all your data sources and assets, and link them together using common data models and metadata. Access and integrate data from different systems and domains more easily, and avoid data duplication and inconsistency.
Monitor and audit data flows and activities, and track data security measures such as encryption, masking, and access control. Protect your sensitive data from unresponsible use, and comply with data protection laws and regulations.
Document and share data definitions, standards, and best practices across your organization. This fosters a culture of data literacy and collaboration among your data engineering teams, as well as other stakeholders who rely on your data.
Blindata simplifies and automates data governance for data engineering teams. With Blindata, you can:
Blindata helps you implement a data governance framework that delivers value to your organization. Blindata enables you to build more efficient and effective data engineering teams.