ACL + DataArt is a Databricks Consulting Partner, helping organizations turn data into clear insights and practical AI applications. We build reliable, secure, and efficient Databricks solutions that improve your business decisions and performance.
The Lakehouse platform combines the structure of a data warehouse with the flexibility of a data lake, giving your teams a unified foundation for data management, analytics, and machine learning.
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Databricks Consulting Partner
The Databricks Lakehouse platform unifies the best of both worlds — the structure of a data warehouse with the flexibility of a data lake — to power your entire data operation.
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Ingest, clean, and organize data from multiple sources on a unified platform with Delta Lake and Delta Live Tables.
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Build and deploy ML models in collaborative notebooks with MLflow, AutoML, and optimized GPU infrastructure.
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Granular access controls with Unity Catalog and Delta Sharing. Compliance with regulatory standards (SOC 2, GDPR, HIPAA).
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Faster data processing with Delta Engine and Photon for high-performance analytics and sub-second queries.


Transformation roadmap
Many organizations face slow analytics, disconnected systems, or inconsistent data control. As Databricks Consulting Partners, we solve these problems by creating a single environment where data and AI work together.
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We implement a unified Lakehouse architecture that eliminates silos and enables seamless access to all your data from a single platform.
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High-performance processing with Delta Engine and Photon that turns queries from minutes into seconds.
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Centralized control with Unity Catalog for consistent access, lineage, and compliance policies across the organization.
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Integrated MLflow and AutoML that simplify the entire model lifecycle, from experimentation to production.
As Databricks Consulting Partners, we help solve data challenges and improve decision-making with clear, reliable solutions.
Scalable pipelines for real-time and batch processing. Integration of diverse sources into a unified platform with Delta Live Tables and structured streaming.

Databricks Lakehouse implementation for high-performance analytics. Optimization with Delta Live Tables and Photon for ultra-fast queries over massive datasets.
Development and deployment of ML models with end-to-end lifecycle management. Automated feature engineering and MLOps with MLflow for scalable production solutions.

Enhanced security with Unity Catalog and Delta Sharing. Guaranteed data quality, full lineage, and regulatory compliance (SOC 2, GDPR, HIPAA).
Connecting LLMs to enterprise data. RAG for intelligent access to information. Vector databases and embeddings for contextual recommendations and automation.

Migration from legacy data warehouses to a modern Lakehouse architecture. Full assessment, architecture design, secure transfer, and post-migration optimization.

Our experience is the foundation of your business growth
+30
Years of IT innovation
Our track record in the technology industry has allowed us to set standards of excellence in Chile and Latin America.
+900K
Software hours in development projects
Accumulated experience across a wide range of successful projects.
+5.000
Consultants hired
Access specialized talent across diverse technologies.
+200
Notable partnerships
The strategic partner behind the savings and efficiency of hundreds of leading companies, optimizing their development budgets.
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What sets ACL+DataArt apart from other Databricks consulting partners?
We combine 25 years of engineering experience with hands-on Databricks expertise. Our focus is on clarity, maintainability, and measurable improvement — not just basic implementations, but enterprise solutions that scale with your business.
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Can Databricks be integrated with existing systems?
Yes. Databricks works with AWS, Azure, and Google Cloud. We design architectures that integrate seamlessly with your existing data tools and processes, without disrupting ongoing operations.
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How long does implementation take?
Timelines depend on the complexity of the project, but most organizations see beneficial results within weeks thanks to our phased delivery model with early quick wins.
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Is Databricks suitable for small teams?
Yes. The platform scales up or down based on workload and data volume. We tailor each implementation to the available resources and the team's maturity level.
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Do you offer ongoing post-implementation support?
Yes. We continue to monitor and optimize data operations, ensuring your Databricks environment evolves alongside your business. This includes performance tuning, governance updates, and capability expansion.
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