Top Collibra Interview Questions (2023)

Data governance and data management are critical aspects of any organization’s success in today’s data-driven world. Collibra has quickly emerged as a leading solution for managing and understanding an organization’s large data assets and governance models. If you are looking for a job that requires knowledge of Collibra, you will benefit from these common Collibra interview questions and answers.

What is Collibra and how does it help organizations manage their data?

Answer: Collibra is a software company that provides a platform for data governance and data management. It helps organizations manage their data by providing tools for data cataloging, data lineage, data quality management, data policy management, and data stewardship.

Related Reading: Collibra Essentials

What are the benefits of using Collibra?

Answer: Collibra provides a comprehensive platform for data governance and data management. Some of the benefits of using Collibra are:

  • Comprehensive data governance tools to manage and understand data better
  • Enables organizations to make informed decisions faster by providing accurate, actionable insights into data
  • Helps govern data assets and improve data quality and ensure data privacy
  • Integrates with other systems and applications such as AWS Glue to make data ingestion, preparation, and analysis more efficient
  • Develops a single source of truth for data across the enterprise
  • Minimizes manual processes and enables quick access to data
  • Provides advanced analytics capabilities to uncover hidden insights and improve business decisions
  • Enhances data flow and processing throughout the organization

You can read an in-depth review of Collibra’s benefits in our Collibra Essentials guide.

What are the different components of the Collibra platform?

Answer: The main components of the Collibra platform include:

  • Data Catalog: Collibra Data Catalog provides a comprehensive overview of data assets across the enterprise
  • Data Governance: Helps organizations define and enforce data policies
  • Data Quality: Enables users to monitor and validate the quality of their data, setup quality pipelines
  • Analytics: Provides powerful visualizations for better decision-making, including easy creation of custom dashboards
  • API Layer: Makes it easy to integrate with other systems in the organization, facilitating data flow in a heterogeneous environment
  • Security Layer: Ensures data privacy and integrity

How does Collibra help organizations manage their data quality?

Answer: Some common data quality issues include incomplete data, inconsistent data, incorrect data, and data that is out of date. Collibra helps organizations improve data quality by providing tools for data profiling, data integrity and validation as data moves between systems, and data cleansing as part of Data Quality Pipeline. These tools are also crucially important for data architects and engineers to perform root cause analysis and tackle data quality challenges.

How does Collibra help organizations manage their data lineage?

Answer: Data lineage is the process of tracking the movement of data from its origin to its destination. Tracking data lineage is important because it helps organizations understand the flow of data, how the data is being used and troubleshoot data quality issues. Collibra’s Data Lineage product provides dashboards and mechanisms that allow organizations to track technical data lineage business lineage. Collibra simplifies lineage tracking by providing sophisticated automatic stitching of data assets and objects. Data lineage also makes it easier to perform root cause analysis of data issues.

How does Collibra help organizations manage their data assets?

Answer: Data assets are the fundamental data resources that organizations create and use to make business decisions, improve processes and accelerate outcomes. Collibra’s data catalog product provides rich capabilities to create and manage data assets including cataloging, classification, profiling and governance of those assets. Collibra’s data catalog helps data users find the right data, get end-to-end visibility and context to ensure you can trust your data as well as allowing every user in the organization to easily consume trusted data via the Collibra Data Marketplace capability.

How does Collibra help organizations manage their metadata?

Answer: Metadata is information that describes data. Metadata is important an important part of the data assets since it helps organizations understand the context and meaning of their data. Quality of metadata management can result in the data lake being leveraged successfully or slowly turning into an unusable data swamp. Collibra helps organizations manage their metadata by providing tools for metadata discovery, metadata modeling, and metadata governance.

How does Collibra support the work of a Chief Data Officer (CDO)?

Answer: Collibra supports the work of a Chief Data Officer or CDO by providing tools for data governance, metadata management, and data quality management, customizable dashboards, and collaborative workflows. All of these provide CDOs with the insights they need to ensure that their data assets are secure, of high quality, and optimized for business use. These features also allow CDOs to collaborate more effectively with other stakeholders and increase the efficiency of their data-driven operations.

How can Collibra help my organization?

Answer: By helping your business develop a single source of truth, Collibra enables organizations to make more effective decisions while minimizing manual processes related to maintaining accurate, up to date data. Additionally, it provides powerful analytics capabilities so that you can uncover hidden insights, predict trends, and improve your business decisions. It also enables teams to quickly access the data they need while ensuring it is up-to-date and accurate. Finally, Collibra’s comprehensive data governance tools allow you to govern your data assets, ensure data privacy and security, and create trust among all users of the platform.

Collibra helps organizations gain a better understanding of their data landscape, streamlining data processing and enhancing data flow across various systems.

What are some Collibra alternatives?

Some of the Collibra alternatives that can help implement and automate data governance are – Informatica Data Governance, Alation, Talend and open source Apache Atlas. We’ve covered them in more detail as part of this Collibra Alternatives Guide.

These Collibra competitors provide various differentiating capabilities, customizability and cost. Before making a decision to choose either Collibra or one of its competitors, it’s important to evaluate the options from the lens of the organization’s key requirements and data landscape.

Related Reading: Collibra vs Talend: Similarities, Differences, Detailed Comparison

How does Collibra help drive GDPR compliance?

Collibra helps drive GDPR (General Data Protection Regulation) compliance by providing a comprehensive data governance solution that enables organizations to efficiently manage, protect, and utilize their data in accordance with the regulation’s requirements. Here’s how Collibra supports GDPR compliance:

1. Data cataloging and discovery: Collibra’s Data Catalog allows organizations to inventory and categorize their data assets, making it easier to identify personal and sensitive data subject to GDPR. This helps businesses locate and track the usage of personal data across their systems, ensuring they’re aware of the data they hold and how it’s being used.

2. Data lineage and mapping: Collibra’s Data Lineage feature provides a visual representation of the data’s journey across various systems and processes. This helps organizations understand the flow of personal data and identify potential risks and vulnerabilities in their data processing activities, enabling them to take corrective actions and maintain GDPR compliance.

3. Data privacy and protection: Collibra’s Data Privacy for GDPR allows organizations to implement and enforce data privacy policies, ensuring that personal data is protected in accordance with GDPR requirements. This includes managing data access, implementing data minimization techniques, and ensuring data is processed only for specified purposes. Integrated Privacy assessments capability allows organizations to quickly address GDPR Article 35 requirements.

4. Data subject rights management: GDPR grants data subjects (individuals) various rights, such as the right to access, rectify, erase, or restrict the processing of their personal data. Collibra helps organizations manage these data subject rights by streamlining the process of handling data subject requests and ensuring that data is updated or deleted in a timely manner.

What is the difference between AWS Glue Data Catalog and Collibra Data Catalog?

AWS Glue Data Catalog is a centralized metadata repository primarily focused on seamless integration with AWS services, while Collibra Data Catalog emphasizes comprehensive data governance, collaboration, and data quality management. AWS Glue Data Catalog suits organizations heavily invested in the AWS ecosystem, whereas Collibra Data Catalog is ideal for those prioritizing advanced governance features and flexibility in connecting with various data sources. Our article AWS Glue Data Catalog versus Collibra Data Catalog covers this topic in-depth.

Related: This Collibra Data Catalog in-depth guide explores the features and benefits of Collibra Data Catalog and its role in data governance.

What is the difference between Collibra and Matillion?

Matillion is an ETL platform focusing on data transformation and integration, while Collibra’s focus is data governance, cataloging & discovery. Both cloud-based solutions offer data management capabilities and integration with various data sources and third-party tools. However, the key difference between Matillion and Collibra is that Matillion is designed for data engineers and analysts, whereas Collibra targets data stewards and governance teams. A large enterprise environment may benefit from both. Read our side-by-side comparison of Collibra and Matillion for an in-depth understanding.

Additional Collibra Data Governance Interview Questions

How does Collibra handle data privacy and security?

Collibra provides robust data privacy and security features. With Collibra, organizations can establish privacy policies, data classifications, and data usage agreements to ensure the security and privacy of their data. Additionally, Collibra provides features for identifying and classifying sensitive data, ensuring that access to this data is tightly controlled.

How can Collibra help in establishing a data governance framework?

Collibra provides a comprehensive platform for establishing a data governance framework within an organization. It offers features for defining data ownership, data stewardship, data quality, and data lineage. Additionally, Collibra’s policy manager allows organizations to define, manage, and enforce data governance policies across the organization.

What role does Collibra play in data democratization?

Collibra plays a critical role in data democratization by making data easily accessible to all stakeholders within an organization, while still maintaining appropriate governance and security measures. It offers a user-friendly interface and powerful search capabilities that allow users to quickly find and understand the data they need.

How does Collibra integrate with other data management tools?

Collibra offers robust integration capabilities with a wide range of data management tools. Its open API allows it to easily connect with other data management systems, including databases, data lakes, ETL tools, BI tools, and more. This allows organizations to maintain a unified view of their data across multiple systems and platforms.

Can you explain how Collibra’s data catalog feature supports data governance?

Collibra’s data catalog is a central repository for an organization’s data assets. It provides detailed information about each data asset, including its source, owner, format, and related metadata. This helps organizations understand their data landscape and enforce governance policies. The catalog also supports data discovery and data lineage, enabling users to find the data they need and understand its origins and transformations.

Related Reading