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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 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
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
