Data Professionals

How Data Governance Can Make Teams More Efficient

Learn how data governance can help data engineering teams increase their productivity, reduce data silos, ensure compliance and security, and share knowledge across teams. Blindata can help you implement a data governance framework that delivers value to your organization.

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Overview

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.

Needs

Improve

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.

Clean

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.

Ensure

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.

Share

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.

How To

Blindata simplifies and automates data governance for data engineering teams. With Blindata, you can:

Create a centralized data catalog that provides a single source of truth for all your data assets. Blindata enables you to enrich your data assets with metadata, such as descriptions, tags, classifications, schemas, profiles, etc.

Scan your data sources using Blindata’s Automated SQL Lineage module to track and manage data movements within your database. Showing how data is created, transformed, and consumed across different systems and processes. This helps you understand the origin, meaning, and usage of your data.

Define and apply your data quality and compliance rules using Blindata’s Data Quality module.

Document and share data definitions, standards, policies, and best practices across your organization. Blindata facilitates communication and feedback among your data users.

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.