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Databricks

Partnering since 2022

The Databricks Data Intelligence Platform empowers your entire organization to harness the power of data and AI. Built on a lakehouse architecture, it offers an open, unified foundation for data management and governance. At its core, the Data Intelligence Engine enhances understanding of your unique data.
In every industry, the leaders will be those that embrace data and AI. From ETL and data warehousing to generative AI, Databricks streamlines and accelerates your data and AI initiatives.

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Avvale is recognized as Databricks Consulting Partner!

Our Certifications

databrick-cert-01     databrick-cert-02     databrick-cert-03     databrick-cert-08     databrick-cert-04     databrick-cert-05     databrick-cert-06     databrick-cert-07

Our Expertise

 

Data Lakehouse

Modern data architecture integrates data lakes and warehouses into a unified platform, managing large volumes of structured and unstructured data while enabling fast, reliable analytics, data science, and machine learning.

Data Exploration ➞

 

ML & Generated AI

We empower customers to build and deploy AI and ML solutions with the latest Databricks capabilities. Using Mosaic AI, we offer a unified AI lifecycle experience within Unity Catalog. Our experts assist in creating, optimizing, and deploying custom LLMs for GenAI solutions, from RAG systems to advanced chatbots.

AI & ML Applied ➞

Foundation & DevOps

We provide tailored solutions across the entire Databricks workflow, from design and deployment to optimization, ensuring alignment with best practices, customer requirements, and budget. Our approach adapts to different landscapes, from basic setups to advanced implementations using Infrastructure as Code and DevOps tools like Terraform and Azure DevOps CI/CD.

DevOps ➞

Data Engineering

We help companies unlock their data’s potential with advanced data engineering solutions on the Databricks Intelligence Platform. Using best practices and the Medallion Layer Architecture, our templates and accelerators provide scalability, modularity, data quality, performance optimization, data lineage, flexibility, collaboration, and cost efficiency.

Data Exploration ➞

Data Governance

We implement data governance on Databricks to ensure secure, high-quality, and compliant data while enabling efficient management and collaboration. Key areas include access control, data lineage, auditing, quality management, asset organization, metadata centralization, and security.

Data Strategy ➞

Success is a team effort.
We select our partnerships with the clear objective to establish active, value-adding relationships that positively affects the whole ecosystem.