Reliable Data Foundations:
Data Management & Databases
Data is valuable only when it is accurate, accessible and secure. Our data management services create the architecture and processes that make information dependable — enabling analytics, powering applications and protecting your business from downtime and compliance risk.
Building a Data Backbone for Growth
Poorly structured data and ad-hoc processes introduce operational risk and reduce the trust teams place in analytics. Ten Web designs the data backbone that supports both daily operations and strategic initiatives. We begin with a careful assessment of existing systems and data flows, then design a model that supports transactional reliability, query performance and analytics flexibility. For transactional workloads we design normalized schemas, indexing strategies and backup plans that keep applications responsive and durable. For analytics needs we design data warehouses or lakes, define ETL patterns that ensure data quality and consistency, and implement partitioning and aggregation strategies that support fast queries even as volumes grow.
Security and compliance are integrated into architecture choices: encryption at rest and in transit, role-based access controls, fine-grained audit logging and retention policies that meet regulatory needs. Migration projects are planned to minimise downtime and validated end-to-end to ensure data integrity. By building a robust data foundation we enable faster development cycles, more reliable reporting and a path for advanced analytics and machine learning in the future.
We Are There To Make Your Dreams True
Descover Your Goals
Design Custom Solutions
Develop & Test Solutions
Deliver or Deploy Them
Maintain & Update Them
Practical, End-to-End Data Engineering
Ten Web provides full lifecycle data services from schema design to managed databases and cloud deployments. We set up relational and NoSQL databases, manage cloud-managed instances (AWS RDS, Azure Database services, Google Cloud SQL), design ETL pipelines to centralise disparate sources, and implement monitoring and automated backups. Our deliverables include architecture diagrams, runbooks, performance tuning, and disaster recovery strategies so your operations team has a clear plan for continuity.
We also offer data governance services: defining access roles, implementing masking or pseudonymization for sensitive fields, and setting retention rules to limit exposure. For businesses scaling quickly we design multi-region replication options, optimize costs via right-sizing and storage lifecycle policies, and provide regular health checks to prevent performance degradation before it affects users.
Why Solid Data Practices Pay Off
When your data is reliable, everything else becomes easier: analytics produce trustworthy insights, applications perform consistently, and compliance requirements are easier to demonstrate. Poor data management leads to slow queries, system outages and analytics teams spending time cleaning rather than analysing. Investing in architecture and governance reduces these hidden costs, shortens development cycles, and supports better customer experiences by ensuring applications respond quickly and reliably. Over time, a disciplined approach to data management turns raw information into a competitive asset that enables smarter product decisions, better marketing segmentation and more efficient operations.
Compliance, Recovery & Operational Resilience
We design for resilience from the start: backups tested for restorability, disaster recovery plans with clear RTO/RPO targets, and operational playbooks for incident response. Compliance is treated as a core component of design — from GDPR-friendly data handling to region-specific storage requirements — and we document controls so audits are straightforward. For high-availability systems we architect multi-zone or multi-region deployments and automated failovers; for lower-latency regional needs we implement read replicas and caching strategies. This focus on recoverability and compliance reduces risk and gives leadership confidence that their data infrastructure will support growth without surprises.
