https://store-images.s-microsoft.com/image/apps.37820.b72fa6f6-fb26-4e60-9f55-e8bb9c90de92.657a4b3f-d58d-4270-a65d-15876f66559d.6f2d5d6a-af02-4ce3-a8f4-090471c0a028
LeapLogic: Fully-automated legacy data estate workload migration to Azure
Impetus Technologies Inc.
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LeapLogic can fast-track the end-to-end modernization of legacy workloads to Azure, helping you unlock your business and analytical outcomes at scale – faster, at lower cost, and with lower risk. It simplifies the complex modernization journey of legacy workloads with its proven 4-step approach, which includes assessment, transformation, validation, and operationalization.
Up to 95% automated transformation of legacy EDW, ETL, Hadoop, and analytical workloads in 4 steps
End-to-end operationalization of workloads with zero business disruption, 50-75% reduced time-to-market, 1.5x faster validation, and 2x cheaper than manual migration
Transformation success with multiple Fortune 500 enterprises while preserving 100% of business logic
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Step 1: Assessment
- Create an assessment of your workloads, analyze workloads, discover code patterns, and get recommendations for optimization. .
- Integrated assessment for several workload types
- Comprehensive inventory listing
- Workload prioritization as per the business use case
- Dependency analysis
- Advanced blueprint of Azure architecture
- Optimization opportunities for schema, code, and orchestration
- Prescriptive recommendations
- Phased migration plan with timelines and cost estimates
- Transform your source data into Azure-equivalent, including core business logic.
- Intelligent grammar engine supporting a variety of workloads and formats
- End-to-end transformation, packaging, and orchestration to Azure-native format
- Notebook-based inline editor for query optimizations
- Delivers a verified, executable package with performance SLAs met
- Extensible, repeatable, and verifiable methodology
- Pipeline-based automated validation to validate the quality of the migrated data and the transformed queries.
- Sample or customer data-based code validation
- Auto-generation of reconciliation scripts
- Automated SQL/query and business level validation
- Cell-to-cell validation reports
- Data type and entity-level matching
- Go-live or deliver Azure-specific executable packages.
- Operationalization
- Infrastructure as code
- Execution using Azure-native orchestrators
- Automated DevOps including CI/CD, etc.
- Parallel execution
- Smooth cut-over
Highlights:
At a glance
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https://store-images.s-microsoft.com/image/apps.18742.b72fa6f6-fb26-4e60-9f55-e8bb9c90de92.8aab3446-9fd5-42a3-a889-1d824b1e4f76.043973cf-b783-466a-bc9e-e38da3cecf54