Brasil TecPar is a Group whose purpose is to consolidate the Internet, Technology, and Telecommunications market in Brazil. As a result of more than two decades, Brasil TecPar brings connectivity to thousands of people across the most diverse regions and markets.
Come and see how we became part of this story of constant evolution through the words of Roberto Rosenfeld.
“We made years of progress in terms of technology. From the tools we adopted to the levels of layering and governance. The internal team even found new opportunities to enrich our data lake with external data.”
Head of Systems
First, we performed an assessment (a complete and comprehensive evaluation of the customer's technology landscape) covering different aspects related to data, infrastructure, governance, and the community involved. As the structure for these foundations, we used a few key points that can be considered in an assessment of this kind:
We assessed whether the project goals were clearly defined and aligned with the needs of users and the broader community, taking into account the technical capability of the internal team.
We worked with the customer to understand the quality of the data available in the project — verifying whether it was accurate, complete, current, and reliable — so we could identify potential data-quality issues and recommend improvements.
We performed a deep technology infrastructure analysis, including the data architecture, the tools used, and system scalability. We identified opportunities for infrastructure improvements to make it robust enough to handle large volumes of data and meet user needs.
We analyzed how to implement data governance in the project. We checked for clear data management policies, decision-making processes, and defined responsibilities. We also assessed whether privacy and security guidelines were being followed appropriately.
From the start of the project, we had the participation and collaboration of the customer's technical community. Communication flowed efficiently; we ran discussion forums and provided support resources for the team. The technical team was actively involved in the development and continuous improvement of the project.
Starting at the assessment phase, we created clear and comprehensive documentation explaining how to use the data, the project's features, and best practices. We also evaluated whether additional resources existed, like tutorials, usage examples, and success stories.
We presented the customer with three different reference architectures for different scenarios and, based on the trade-offs, decided to go ahead with the data project using open-source tools that complied with applicable licenses and regulations.
The customer's internal community was very active throughout the project's execution, so the internal team was able to take on the project's long-term sustainment, ensuring the project can continue to evolve and support its users.
“The partnership model we used was very satisfying. Initially we considered hiring a consultancy that would build the entire project — which would be expensive and wouldn't give the team room to grow. I see Datatchê as a company that allowed us to adapt a working model by bringing technical and architectural expertise that my team didn't have, so we could move past the starting point and build skills. It's great to be able to count on this kind of technical specialization without needing a large staffing engagement, simply with a focus on giving us direction in the architectural strategy.”
Head of Systems
There are several reasons people and organizations choose open-source tools, and it's important to consider that selecting open-source tools also requires a careful evaluation to ensure they meet the specific requirements of your project or organization. Factors like support, documentation, project maturity, and compatibility with existing systems must be considered.
And the main points that led to this choice are strongly tied to:
One of the main goals we sought to achieve throughout the project was the creation of a reference architecture based on Data Lakehouse, providing a robust environment and a data governance structure — through which, by delivering value to the customer, we were able to understand how many end users (business) we impacted with the goals we achieved:
“Our company has more than 2,000 employees and their goals are tied to the proper use of data.”
Head of Systems
Based on all the value deliveries cited in this case, the customer was able to perform an internal evaluation that confirmed we had a strong impact not only for the business but also for the technical team.
“Datatchê supported us on a strategic project for our operation: building a new data structure with more modern tools that could keep up with the data volume growth our organization is seeing. We cut our data lake build time in half even with the data growth that occurred in the period, and we now have higher velocity to generate new queries and views for the business area.”
Head of Systems
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