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simplified & quick oracle migration to GCP bigquery
what are the challenges with on-premise oracle data
- High upfront investment
- A need to install, configure and continuously patch
- High operational and maintenance cost
- DR is complex
- Capacity increases are not automatic
- Scale-up is not seamless
- Limited Analytical & AI capabilities
- Infrastructure and DB support team is required
how does moving to bigquery solve these challenges
- Petabytes scale Data Warehouses without any installation or set-up
- Focus on analytical use cases to drive value without increased infrastructure cost
- Support for Data Science and Analytics
- Instant & elastic scaling of capacity as per demand
- Query performance across the spectrum of workloads
- In-memory storage capabilities
- Support for real-time feeds and analytics
- Easy adoption of new tools, features, and functions as they become available
- Pay-as-you-go – Pay only for the storage used and queries run
- Support for ANSI compliant SQL
- No limit on users and data size
- Direct integration with most popular BI tools
- High availability and Disaster Recovery built-in
- Elimination of traditional ETL processes and tools
how does datametica migrate from oracle to bigquery
eagle
the planner
Architecting an end-to-end migration strategy, with workload discovery, assessment, planning, and cloud optimization.
raven
the transformer
Automated & Optimized code (SQL/Scripts/ETL) conversion to the cloud-native technologies.
pelican
the validator
Automating data validation, reconciliation, and comparison of datasets across two heterogeneous data stores.
how to get started
Assessment is done through the Egale using SQL logs and Metadata extracted from Oracle. Machine learning tools to identify access patterns, all system activities, and artifacts are needed to plan the migration. This engagement also results in:
Migration Strategy
Migration Plan
Effort Estimation
Solution Architect
Technical Architect
FAQs
Why migrate to GCP?
Migrating to GCP will solve many problems like:
- Increased Query performance
- Support for Data Science and Analytics
- Instant & elastic scaling of capacity as per demand
- Pay-as-you-go – Pay only for the storage used and queries run
- Direct integration with the most popular BI tools
- High availability and Disaster Recovery built-in
- Elimination of traditional ETL processes and tools
Datametica empowers customers in their cloud transformation by accelerating their GCP migration. With help of its unique products and expertise, they ensure seamless cloud migration in less time, reduced cost along with less business risk. Read our GCP migration case study here.
Why should we choose datametica for migration?
Datametica has migrated a complex data warehouse with a Petabyte of data in months without any business disruption and reduced the risk involved in the cloud migration process by leveraging our automation technology. Using our automated migration product suite: Eagle-automated assessment & data migration planning tool, Raven-Automated code (SQL, Script) and ETL conversion Tool and Pelican- Automatic data validation tool, automates and accelerates the cloud migration journey, enabling the rapid and low-cost adoption of new modern environments to drive business and technology outcomes. To know more about the migration process, head to our blog.
