Accelerated migration to Databricks

With LeapLogic, your transformation to Databricks 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 Databricks Lakehouse coding techniques and standards?
  • Will it make sense to design my future-state architecture using all cloud-native services (for orchestrating, monitoring, etc.)?
  • Will I know if I can meet my SLAs through Databricks Lakehouse or if I need cloud-native warehouses?
  • Data warehouse
  • Can I get schema optimization recommendations for partitioning, bucketing, clustering, etc.?
  • ETL
  • Will my ETL processing SLAs impact my choice for an optimum Databricks cluster size?
  • Can I save provisioning and maintenance costs for rarely used workloads on Databricks?
  • Hadoop
  • Is my optimization strategy for Update/Merge on Databricks apt?
/ transformation
  • Packaging and orchestration using Databricks-native wrappers
  • Intelligent transformation engine, delivering up to 95% automation for:
  • Data warehouse and ETL – Databricks Lakehouse on AWS/Azure/GCP
  • Analytics – Databricks Lakehouse on AWS/Azure/GCP, PySpark/Scala + Spark
  • Hadoop – Databricks Lakehouse on AWS/Azure/GCP, 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
  • Provisioning of Databricks Lakehouse and other required services
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Watch LeapLogic in action

Automated workload transformation from Informatica to Databricks

Automated workload transformation from Teradata to Databricks

Automated workload transformation from SAS to Databricks

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Explore resources to support your transformation initiatives

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

Webinar

Accelerate your data estate modernization journey

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Learn more about these benefits and best practices for cloud-native transformation