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Explore the transformation potential in your business
/ Assessment
- Get answers to key questions
- Will it make sense to design my future-state architecture using all Azure-native services (for data processing and storage, orchestrating, BI/reporting etc.)?
- Will I know which workloads can benefit from HDInsight vs. Synapse analytics platform?
- Can I save provisioning and maintenance costs for rarely used workloads on Azure?
- Data warehouse
- Can I get schema optimization recommendations for distribution style, indexing techniques, partitioning, etc.?
- ETL
- Will the assessment help me choose Azure services for meeting ETL SLAs?
- Analytics
- Will it be beneficial to convert my analytical functions to Spark libraries or some native Azure functions?
- Will my ETL processing SLAs impact my choice of an optimum Azure HDInsight cluster size?
- Hadoop
- Is my optimization strategy for Update/Merge on Azure Synapse apt?
- Can I get schema optimization recommendations for distribution style, indexing techniques, partitioning, etc.?
/ transformation
- Packaging and orchestration using Azure-native services
- Intelligent transformation engine, delivering up to 95% automation for:
- Data warehouse – Azure Databricks, Azure HDInsight, Azure Synapse, Snowflake on Azure
- ETL – Azure Data Factory, Azure Synapse, PySpark
- Analytics – Azure HDInsight, PySpark
- BI/Reporting – Azure Power BI
- Hadoop – Azure Synapse, Presto query engine
/ validation
- All transformed data warehouse, ETL, analytics, BI/reporting, and/or Hadoop workloads
- Business logic (with a high degree of automation)
- Cell-by-cell validation
- File-to-file validation
- Integration testing on enterprise datasets
- Assurance of data and logic consistency and parity in the new target environment
/ operationalization
- Productionization and go-live
- Capacity planning for optimal cost-performance ratio
- Performance optimization
- Robust cutover planning
- Infrastructure as code
- Automated CI/CD
- Data warehouse – Provisioning of ADLS/HDInsight/Synapse, and other Azure services for orchestration, monitoring, security, etc.
- ETL – Provisioning of Azure Data Factory and other required services
- Analytics – Provisioning of Azure HDInsight and other required services
- BI/Reporting – Provisioning of Power BI
- Hadoop – Provisioning of Synapse and other required services
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Learn more about these benefits and best practices for cloud-native transformation
Learn how LeapLogic enables workload transformation for Azure Synapse
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Explore resources to support your transformation initiatives
Webinar 
Accelerate your data estate modernization journey
CASE STUDY
30% performance improvement by converting Netezza and Informatica to Azure-Databricks stack
White Paper
Map your migration: Modernize legacy data architecture on Azure
