BIG Data Services

We are with you, every step of the way.

Whether you are looking to develop ETLs and use cases on your Data platform, or you are just getting started and need to design and build it from scratch, our engineering team will help you achieve your Data goals. We specialise in data infrastructure platforms and solutions, whether you prefer on-premise deployments in your own datacenter (such as Cloudera) or public cloud providers like AWS.

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Platforms architecture design

Scalable Solutions

Focusing on a solid architecture results in a scalable and high-performance solution. Our architects and engineers take all your business needs into consideration to design a Data architecture that truly fits your organisation.

Performance Optimization

Our team ensures that your architecture is fully optimized for performance, enabling your Data solution to operate at its best.

Business Needs

We take all your business requirements into account to tailor the architecture to your specific needs, ensuring alignment with your goals and objectives.

Platforms implementation and deployment

Deployment Planning

Our engineers meticulously plan the deployment process, ensuring a smooth and efficient implementation.

On-Premises or Cloud

We have extensive experience deploying platforms, whether it’s an on-premises Hadoop cluster or a solution built using cloud services.

Post-Deployment Support

After deployment, we provide comprehensive support to ensure that your platform continues to operate seamlessly and efficiently.

Data lake or Data lakehouse implementation

Data Lakehouse Architecture

We develop the ETL processes required to load your data lake or lakehouse with any type of data you need to analyse—whether batch or real-time.

Democratization of Data

Data lakes are designed to democratise data across your organisation, providing easy access to a wide range of data for analysis and informed decision-making.

Adaptability

Our solutions adapt to a variety of Data platforms, ensuring that your data lake or lakehouse is optimised to meet your specific needs.

SQL on anything

Moving data is not always the best solution. We can build Trino-based solutions to query data directly at its source.

MLOps Adoption Program

Automated Testing

MLOps frameworks integrate seamlessly with CI/CD pipelines, enabling automated testing, validation, and deployment of machine learning models.

Enhanced Development

This accelerates development and delivery cycles while fostering a culture of continuous improvement through Jupyter-style notebook platforms.

Model Improvement

Through a structured adoption program, we help elevate your practices and bring your models to the next level.

Assessments

Architecture

We perform a comprehensive assessment to identify areas for improvement in your architecture.

Data Pipelines

Data PipelinesOur assessments include data pipelines, ensuring they are optimised for both efficiency and performance.

Best Practices

We ensure that your Data implementation follows industry best practices and provide clear recommendations for improvement.

Getting Started

The first steps can be challenging. We help you review your strategy, define a clear action plan, and design an initial architecture.

Partnerships

Cloudera

We are a Cloudera SELECT Partner, and we believe Cloudera’s end to end solution is the best fit for hybrid architectures. Our talented engineering team not only brings deep expertise but also holds certifications such as Cloudera Administrator.We manage more than 90% of Hadoop and Cloudera clusters in Uruguay, administering 200+ data nodes across multiple private and public organisations.

Red Hat

We have been Red Hat partners since 2012 and have achieved the Premier Business Partner (PBP) level. OpenShift and Kubernetes run through our veins—we were the team behind the first official OpenShift pilot in Latin America, which became a major success story for both Red Hat and Netlabs.Our engineers also hold certifications such as Red Hat Certified Specialist in OpenShift AI.