Data warehouse Migration to Azure Databricks and Azure Synapse from on-prem SQL server

Reengineer Your Existing Legacy Application and Migrate to Microsoft Platforms

Enterprises across diverse business verticals are finding it challenging to manage their legacy applications. The lack of flexibility, scalability, inefficiency in integrating with modern tech systems, and high maintenance and operational costs make monolithic applications even more difficult to handle. With application modernization, you can scale your business and make your applications more agile.

Want to Scale and Modernize Your Legacy Application?

AVASOFT helps you make the most of your IT investments by assessing your existing application and recommending the best modernization approach for your business needs, leveraging the powerful capabilities of Microsoft Azure!

With years of hands-on expertise, AVASOFT provides you with a complete assessment report of the application infrastructure and an in-depth analysis of the features and functionalities gaps. We also support you with actionable insights and accompany you on your modernization journey.

Here's What We Do:

Assess:

We collaborate with your team to understand your business requirements and objectives. We assess the application’s architecture for performance, component dependencies, usage patterns, usability pain points, integration points, and code practices.

Evaluate:

We gather and evaluate data to identify functionality gaps. We predict roadblocks and share insights on potential opportunities.

Recommend:

We develop a strategic deployment plan by grouping functionalities as micro apps and designing a wireframe concept. We suggest a suitable modernization project roadmap based on cloud-native principles and provide feasible solutions using Microsoft Azure services. Additionally, we offer architecture recommendations and cost estimations for the project.

By the end of this assessment, you will receive insights that will help you begin your migration journey:

• Detailed analysis report of your existing legacy architecture.
• Scope for eliminating redundant software/hardware.
• Proposed architecture recommendations for moving to Microsoft Azure and selecting a tech stack based on business needs.
• High-level wireframe concept and custom integration options as per requirements.
• Timeline and cost estimations for migration to the proposed architecture and future builds.
• End-to-end support for migration and cloud adoption.

Our comprehensive solution meticulously transitions your on-prem SQL Server data warehouse to Azure Synapse Analytics and Azure Databricks.

This migration optimizes data processing and analytics workflows within a secure, scalable cloud environment. Azure Synapse merges big data and data warehousing while Azure Databricks introduces collaborative data science capabilities. Together, they form a robust platform for data exploration, BI, and AI applications.

Key Features:

• Seamless Integration: Smooth transition with minimal downtime and automatic scaling to meet business needs.
• Enhanced Analytics: Utilize Azure Synapse for querying and Azure Databricks for machine learning to drive insights.
• Security and Compliance: State-of-the-art encryption mechanisms alongside role-based access control, guaranteeing data protection and regulatory compliance.
• Cost-Efficiency: Optimize operational costs with a pay-as-you-go pricing model reducing Capex expenditure.
• Streamlined Collaboration: Unified workspace enhances productivity between analysts, data scientists, and engineers.

Make your application more scalable, increase ROI, and drive higher performance with modern applications.

Explore the transformative potential of Azure with our detailed Customer One Pager. Reach out today to see how this strategic migration will advance your enterprise's data capabilities, setting you on a course for success in the face of future challenges.

Note: The cost and time duration are estimations. They may vary depending on your business needs and the complexity of the application.