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simplified & quick netezza migration to GCP bigquery
what are the challenges with on-premise netezza data
- High operational, depreciation and maintenance cost
- High upfront investment
- Limited flexibility
- Scale on-demand is challenging
- Performance challenges
- Vendor lock-in
- Difficult to support real-time analytics
- System and appliance availability challenges
- End-of-life support
- Data latency
- Limited scaling for Advanced Analytical & AI capabilities
- Limited support for unstructured data
- Upgrades are expensive and time-consuming
- DR is challenging and complex
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
how does datametica migrate from netezza 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 Netezza. 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
How to migrate to GCP?
GCP migration from your existing data warehouse system is a complex task and can often be a challenging process.
To assist organizations in efficiently migrating to GCP, we have listed 4 key steps to a successful cloud migration, drawn from our years of experience. To know more about the migration process, head to our blog.
What are the challenges with the Netezza data warehouse?
Following are the challenges of on-premise Netezza
- High operational depreciation and maintenance cost
- High upfront investment
- Data latency
- Scalability issues
Datametica empowers organizations in leveraging cloud technology by migrating their data from Netezza Datawarehouse to the cloud. With help of its unique migration automation product suite and years of experience, they ensure seamless Netezza migration in less time, reduced cost along with less business risk. Read our Netezza case study here.
