Accelerated migration to Google Cloud

With LeapLogic, your transformation to Google Cloud 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
  • Get answers to key questions
  • Will it make sense to design my future-state architecture using all Google Cloud-native services (for data processing and storage, orchestrating, analytics, etc.)?
  • Can I save provisioning and maintenance costs for rarely used workloads on Google Cloud?
  • Data warehouse
  • Can I get schema optimization recommendations for partitioning, clustering, etc.?
  • ETL
  • Will the assessment help me choose Google Cloud services for meeting ETL SLAs?
  • Analytics
  • Will it be beneficial to convert my analytical functions to Spark libraries or some native Google Cloud functions?
  • Will my ETL processing SLAs impact my choice of an optimum Dataproc cluster size?
  • Hadoop
  • Is my optimization strategy for Update/Merge on BigQuery apt?
/ transformation
  • Packaging and orchestration using Google Cloud-native services
  • Intelligent transformation engine, delivering up to 95% automation for:
  • Data warehouse – BigQuery, Dataproc, Snowflake on Google Cloud, Databricks on Google Cloud
  • ETL – Cloud Data Fusion, Dataflow, Dataproc, PySpark
  • Analytics – Google Cloud Dataproc, PySpark
  • Hadoop – BigQuery, Snowflake on Google Cloud, 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
  • 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 Dataproc/BigQuery/Snowflake, and other Google Cloud services for orchestration, monitoring, security, etc.
  • ETL and analytics – Provisioning of Cloud Data Fusion, Dataflow, Dataproc and other required services
  • Hadoop – Provisioning of BigQuery/Snowflake on Google Cloud and other required services

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

Automated workload transformation from Teradata to Google Cloud


Explore resources to support your transformation initiatives

White Paper

Map your migration: Modernize legacy data architecture on Google Cloud

Solution Brief

Intelligent and automated transformation of your enterprise data warehouse to Google Cloud

Case Study

Accelerated implementation of a hybrid cloud-based data lake with LeapLogic