Build a foundation for operational and analytical data
Combine databases, storage, analytics and migration support for enterprise data.
What changes
Operational and analytical data are scattered across systems with no shared platform.
A single data foundation: managed databases for transactions, warehousing and analytics for insight.
Recommended approach, at a logical level
Steps in order. Each maps to KonetCloud services below; detailed designs are produced with your team.
- 01Run transactional workloads on managed relational databases
- 02Land raw data in object storage
- 03Process with data analytics; centralise in data warehousing
- 04Migrate existing databases with migration support
KonetCloud services involved
Data and Big Data
Managed data services for transactional applications, analytics and data-intensive workloads.
Storage
Scalable storage services for applications, databases, backups, archives and enterprise data.
Compute
Flexible virtual compute for websites, enterprise applications, databases and demanding production workloads.
Networking
Build isolated networks, connect applications, distribute traffic and securely connect cloud and enterprise environments.
Migration, implementation and operations
Benefits are stated only where evidence exists; we would rather show you than tell you.
- Engine and sizing choices
- Retention, backup and access control
- Migration sequencing and validation
Get started
Talk through the architecture.
Bring your constraints. An engineer will map them to zones, services and an operating model — then you decide.