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
  • Get answers 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

DOWNLOAD E-BOOK

Automated workload transformation from Teradata to Google Cloud Platform

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Explore resources to support your transformation initiatives

White Paper

Map your migration: Modernize legacy data architecture on GCP

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

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