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Exploring the Collibra Data Notebook: My Beta Testing Experience

Jasna Škrabić

Consultant, Data & Analytics | Data Engineering & Architecture

As part of the Collibra Beta Program, I had the exciting opportunity to test the Collibra Data Notebook and witness its capabilities firsthand. This blog will dive into my experience and key takeaways from beta testing the Data Notebook.

Enhancing Data Exploration and Collaboration

The Collibra Data Notebook is an innovative feature within the Collibra platform, designed to enhance data exploration, documentation, and collaboration. It serves as a powerful tool for data professionals, enabling them to connect to various data sources, write and execute SQL queries, visualize results, and share insights seamlessly. This integration is essential for effective data governance, as it allows teams to maintain a clear understanding of their data assets while fostering collaboration across the organization.

To put it in context, Collibra’s Beta Program provides an opportunity for Collibra users to collaborate directly with their Product Managers, sharing valuable feedback and impressions. This helps them validate new feature experiences and take notes for future enhancements.

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Image source: Collibra

Step 1. – Connecting to the Data Source

The Collibra Beta Program provides guided tasks and a streamlined feedback process, all facilitated through the dedicated Beta Platform. As indicated in the first task for this beta program, I accessed the Data Notebook application and was welcomed by an intuitive interface that encouraged exploration. I started by creating a new notebook, which is initially private, allowing me to experiment freely before sharing insights with others.

Connecting to a data source was one of the first tasks I tackled. The seamless integration with registered data sources made it easy to authenticate and sync the necessary tables and schemas. However, I did encounter a minor issue with data source connectivity at first, which was quickly resolved with the help of the support team. This experience highlighted the importance of having robust support during beta testing, and I appreciated how promptly my concerns were addressed.

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Image source: Collibra

Step 2. – From Basic Commands to Complex Data Analysis

After setting up my data source, I moved on to writing and running SQL queries. The SQL editor proved to be user-friendly, complete with autocompletion features that facilitated efficient query crafting. I experimented with basic commands, quickly realizing the potential for more complex data analysis. The ability to limit output for manageable rows ensured swift execution, allowing for deeper dives into the data without overwhelming results.

The integration of the Data Explorer with the SQL editor was a game changer. With just a control click, I could access metadata and documentation, making it easier to understand the context of the tables I was working with. This feature significantly streamlined the querying process, especially when collaborating with colleagues who might have different insights into the data.

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Image source: Collibra

Step 3. – Rich Text Editing and Data Visualization

I enjoyed the Notebook’s rich text editing capabilities. It supports several types of blocks, including headings, lists, and code blocks, encouraging thorough documentation of my processes. The automatic table of contents was a pleasant surprise, allowing me to navigate my work easily.

The ability to create charts directly from query results was particularly exciting. Visualizing data is crucial for effective communication, and the integrated chart capabilities made this process straightforward. I experimented with different chart types and customization options, bringing my data to life and making it accessible to stakeholders.

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Image source: Collibra

Step 4. – Publishing

Finally, I discovered the publishing feature, which allows notebooks to be shared within the Collibra ecosystem. Documenting assets and sharing findings enhances collaboration within teams. However, it is essential to have the right permissions, adding an extra layer of security to ensure sensitive information remains protected.

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Image source: Collibra

Conclusions and Key Takeaways

Overall, participating in the beta testing of the Collibra Data Notebook was an enriching experience. I thoroughly enjoyed exploring the tool’s features and providing feedback that will shape its future iterations. The seamless integration with data sources, user-friendly SQL editor, and robust documentation capabilities were standouts in my experience.

What impressed me the most was how the Data Notebook fosters collaboration and enhances data understanding within teams. Although I encountered a few minor challenges, I was pleased with the prompt assistance provided, demonstrating the platform’s focus on user support. I look forward to seeing how this innovative feature evolves and continues to enhance data governance across organizations.

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