Accelerated migration to GCP

With LeapLogic, your transformation to GCP 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 GCP coding techniques and standards?
  • Will it make sense to design my future-state architecture using all GCP-native services (for orchestrating, monitoring, etc.)?
  • Can I save provisioning and maintenance costs for rarely used workloads on GCP?
  • Data warehouse
  • Can I get schema optimization recommendations for partitioning, bucketing, clustering, etc.?
  • ETL
  • Will the assessment help me choose GCP 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 Dataproc cluster size?
  • Hadoop
  • Is my optimization strategy for Update/Merge on BigQuery apt?
/ transformation
  • Packaging and orchestration using GCP-native wrappers
  • Intelligent transformation engine, delivering up to 95% automation for:
  • Data warehouse – BigQuery, Dataproc, Snowflake on GCP
  • ETL – Cloud Data Fusion, Dataflow, Dataproc, PySpark/Scala + Spark
  • Analytics – GCP Dataproc, PySpark/Scala + Spark
  • Hadoop – BigQuery, Snowflake on 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
  • Data warehouse – Provisioning of Dataproc/BigQuery/Snowflake, and other GCP 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 GCP 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

Optimizing massive workloads to meet business SLAs on modern data platforms

Solution Brief

Intelligent and automated transformation of your enterprise data warehouse to Google Cloud Platform (GCP)

Case Study

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