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Dedalus Atlas - Implementation
With dedicated professionals, access to tailored solutions, continuous optimization, and rapid responses to technical challenges, ensuring maximum performance and cost reduction with Microsoft Azure.
This service was designed to help clients quickly implement, migrate, assess, sustain, and support Microsoft Azure Data and Artificial Intelligence products. Through a flexible and scalable model, clients can accelerate their Data & AI initiatives with expert guidance and hands-on support. The client selects the Dracmas package that best fits their needs and receives support in sustaining Data & AI projects. We offer Small, Medium, and Large packages, and clients also have the option to create a customized package tailored to their specific requirements. At Dedalus Atlas, clients gain access to professionals assigned according to the project’s scope, along with the support of all Dedalus specialists. A Project Manager oversees the project and time commitments using Dedalus' project management tools, which can be shared with the client for tracking and transparency.
Microsoft Azure Services included: Microsoft Fabric, Azure Databricks, Azure AI Services, Azure Open AI Services, Microsoft Purview, Azure Synapse Analytics, Azure Machine Learning, Azure Data Factory, Azure Stream Analytics, Azure Synapse Pipelines, Azure Event Hubs, Azure Kubernetes Service (AKS), Azure OpenAI Service, Azure DevOps, Azure AI Studio, Azure Cognitive Search, Azure Cosmos DB, etc.
Project Delivery types include: • Assessment: Data Journey, Data Architecture and Governance, AI Journey • Data Migration: Load testing/sizing, Performance optimization, Migration • Data Engineering (Data Pipelines): Data ingestion, Processing, and transformation, Orchestration • Data Engineering (Storage): Data Lakehouse Structuring, Architecture Optimization • Data Engineering (Analytical Layer): Data Modeling, Visualization / Dashboards, Business Intelligence • Data Driven (Data Governance): Data quality, Metadata management, Data security and privacy, Business rules • Data Driven (Data Mesh): Methodology implementation, Data platform adaptation • Data Science (Machine Learning): MLOps / FMOps / LLMOps, creating and maintaining models, Custom applications • Data Science (GenAI): Agent/tool development, Chatbots / Copilots, Graph RAG, Fine-tuning
Note: A Dracma is a managed hour of a Data & AI specialist, allocated based on client demand and always coordinated by the Dedalus back-office team.