On-Premises SQL to Azure Cloud
Transform Your Data Estate: Streamline, Consolidate, and Visualize Your Data
Why Modernize Your Data Estate?
On-premises SQL Server is nearing the end of support, which means that managing legacy infrastructure will be even more expensive. Moreover, your outdated architecture cannot support exponentially growing data assets, which require comprehensive integration and greater governance.
LevelShift’s experts can migrate your vital data, schema, and objects from the SQL database to Azure without data loss. We streamline your data management, reduce infrastructure costs, and set the foundation for cloud analytics and business intelligence.
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Quick start and Accelerators
Thinking if modernization can be time-consuming? Leverage our quick start and accelerator solutions that automate and simplify modernization.
Quick start assessment
- Stakeholder workshop
- Gap assessment
- Future state architecture
SSIS Metadata Accelerator
- Reduces analysis effort by 50 – 60% resulting in significant cost savings
- Complexity report to identify/track complex transformation
SSRS to Power BI Accelerator
- Reduces effort by 70 – 80% resulting in significant cost savings
- Detailed migration results
- User-friendly interface
SSRS RDL Metadata
- Reduces report analysis effort by 50 – 60%
- Easy to identify report dependencies
Tableau Metadata Accelerator
- Workbook complexity classification
- Reports Usage Analysis
- Power BI – Cost Benefit Analysis
- Fitment Analysis report
Our Approach
LevelShift is an end-to-end service provider for all your data estate needs—right from data extraction through visualization. Being a certified Microsoft Gold Partner and a trusted organization, we help several mid and large-scale companies across their data needs through a broad engagement model covering consulting, implementation, support and optimization services.
Assessment and Strategy
- Conduct stakeholder workshop to identify gaps between current and target states
- Provide assessment report covering bottlenecks and desired future state
- Design solution architecture and approach for migration-related activities
- Deliver a clear implementation roadmap with deliverables and timelines
Implementation
- Extract data from disparate sources, transform and load them into desired systems such as data warehouses and analytical applications.
- Implement, customize, configure, or upgrade existing data analytics and BI solution.
- Develop or customize reports and dashboards specific to business use cases.
- Engineer dimensional modeled data warehouse through data analysis and data profiling.
Validation
- Check workloads configuration and production deployment
- Optimize data security, integrity, and compliance adherence
- Ensure high availability and perform disaster recovery
- Address workload performance issues and data reconciliation
Support and Enablement
- Extract data from disparate sources, transform and load them into desired systems such as data warehouses and analytical applications.
- Implement, customize, configure, or upgrade existing data analytics and BI solution.
- Develop or customize reports and dashboards specific to business use cases.
- Engineer dimensional modeled data warehouse through data analysis and data profiling.
Data Modernization Path
Now that you have modernized your data platform with Azure, you can leverage data for further analysis and business intelligence.
Explore our business intelligence services here.
Why LevelShift
Unified data
Enable a single source of truth for your data and improve security.
Data usage
Bring data into a common taxonomy for quick access and consumption.
Cloud-scale platform
Scale infrastructure usage based on business needs and increase your ROI.
Software Assurance
Save software assurance costs and maximize your Microsoft investments.