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Data Warehouse Implementation - Azure Databricks
AVASOFT
Embark on a seamless Azure Databricks journey with AVASOFT's services. We provision private Databricks, establish robust networking, and set up DevOps CI/CD pipelines to optimize DataOps operations.
Embark on a seamless Azure Databricks journey with AVASOFT's services. We provision private Databricks, establish robust networking, and set up DevOps CI/CD pipelines to optimize DataOps operations.
Service Overview:
AVASOFT, as a distinguished Azure Solution Partner, offers a comprehensive Azure Databricks implementation package tailored for organizations encountering data challenges. We specialize in provisioning private Databricks infrastructure, configuring networking components for on-prem data source connectivity, and setting up DevOps CI/CD pipelines for efficient code promotion.
Key Features:
- Private Databricks Infrastructure Provisioning: Tailored infrastructure setup to ensure data security and compliance.
- Networking Components Configuration: Establish robust networking components for seamless connectivity with on-prem data sources.
- DevOps CI/CD Setup: Configure Azure DevOps Build and Release Pipelines for automated infrastructure deployment and code promotion.
- Enhanced Productivity: Streamlined development processes and automated workflows for enhanced productivity.
- Fully Managed Platform: Ensure high availability and reliability without extensive operational oversight.
- Monitoring and Analytics Configuration: Set up monitoring and analytics tools for tracking performance and driving continuous improvement.
Deliverables:
- Detailed Deployment Plan: A comprehensive plan outlining steps for infrastructure provisioning and DevOps setup.
- Azure DevOps Integration: Configuration of Build and Release Pipelines for automated deployment.
- Application Deployment: Successful deployment of applications to Azure Databricks with security and scalability.
- Networking Configuration: Setup of networking components for seamless connectivity with on-prem data sources.
- Monitoring and Analytics Setup: Configuration of monitoring tools for performance tracking and insights gathering.
Next Steps:
- Performance Optimization: Conduct performance testing and optimization for efficient data processing.
- Continuous Improvement: Establish processes for continuous monitoring, analysis, and optimization of data operations.
Overblik
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