Accelerated migration to Azure

With LeapLogic, your transformation to Azure will happen faster, with more accuracy, thanks to superior analysis, automation, and validation

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Explore the transformation potential in your business

/ Assessment
  • Say yes to key questions
  • Can I identify anti-patterns in my existing code and resolve them as per Azure coding techniques and standards?
  • Will it make sense to design my future-state architecture using all Azure-native services (for orchestrating, monitoring, etc.)?
  • Will I know which workloads can benefit from HDInsight vs. Synapse cloud data warehouses?
  • 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 ML-based libraries?
  • 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 partitioning, bucketing, clustering, etc.?
/ transformation
  • Packaging and orchestration using Azure-native wrappers
  • Intelligent transformation engine, delivering up to 95% automation for:
  • Data warehouse – Azure HDInsight, Azure Synapse, Snowflake on Azure
  • ETL – Azure Data Factory, Azure Synapse, PySpark/Scala + Spark
  • Analytics – Azure HDInsight, PySpark/Scala + Spark
  • Hadoop – Azure Synapse, Snowflake on Azure, Presto query engine
/ validation
  • All transformed data warehouse, ETL, analytics, and/or Hadoop workloads
  • Business logic (with a high degree of automation)
  • Cell-by-cell validation
  • Integration testing on enterprise datasets
/ operationalization
  • Capacity planning for optimal cost-performance ratio
  • Performance optimization
  • Robust cutover planning
  • Infrastructure as code
  • CI/CD
  • Data warehouse – Provisioning of ADLS/HDInsight/Synapse/Snowflake, 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
  • Hadoop – Provisioning of Synapse/Snowflake on Azure and other required services
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Learn more about these benefits and best practices for cloud-native transformation

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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

Case Study

20% SLA improvement by modernizing Teradata workloads on Azure