Data Infrastructure Build
A full-scale data platform build that creates the foundation for enterprise AI, from data ingestion and storage to analytics and ML pipelines. Investment ranges from S$200K to S$500K.
What we do
What We Do
We design and build modern data platforms that unify your data assets, enable self-service analytics, and provide the infrastructure for production AI workloads.
Platform Architecture Design
We design a data platform architecture tailored to your scale, performance requirements, and technology preferences, covering lakehouse, warehouse, and hybrid patterns.
Data Ingestion Layer
We build reliable, scalable data ingestion pipelines that collect data from databases, APIs, event streams, file systems, and third-party SaaS tools.
Storage and Processing
We implement optimised storage layers with appropriate partitioning, indexing, and caching strategies for both analytical queries and ML training workloads.
Data Transformation
We build transformation pipelines using dbt, Spark, or custom frameworks that clean, enrich, and model your data for consumption by analytics and AI systems.
ML Infrastructure
We set up feature stores, experiment tracking, model registries, and serving infrastructure that enable your data science team to move models to production efficiently.
Governance and Observability
We implement data cataloguing, lineage tracking, quality monitoring, and access control systems that keep your platform trustworthy and compliant as it grows.
Applications & Use Cases
Data Infrastructure Applications
We design and build data platforms that serve as the foundation for AI, analytics, and operational intelligence across your organisation.
Modern Data Lakehouse
Build unified storage that combines the flexibility of data lakes with the performance of data warehouses for AI workloads.
Real-time Streaming Pipelines
Engineer event-driven architectures that process data in real time for instant AI predictions and operational dashboards.
ML Feature Stores
Build centralized feature repositories that serve consistent, pre-computed features to training and inference pipelines.
Data Mesh Architecture
Implement domain-oriented data ownership with self-serve infrastructure that scales data access across large organisations.
Cloud Migration & Modernization
Migrate on-premise data infrastructure to cloud platforms with minimal disruption and optimized cost structures.
Data Observability Platforms
Implement monitoring, alerting, and lineage tracking that ensures data quality and pipeline reliability at scale.
Our Process
End-to-end AI Data Readiness Process
We take your data from raw and fragmented to AI-ready. Our structured process ensures your data infrastructure, governance, and pipelines are built for production AI workloads.
Why Us
Why Us
We build data platforms purpose-designed for AI workloads, not retrofitted analytics warehouses with ML bolted on as an afterthought.
AI-native platform design that supports both analytics and machine learning workloads from day one
Experience building platforms that handle terabyte-scale data volumes for Singapore enterprises
Technology-agnostic approach covering Snowflake, Databricks, BigQuery, Redshift, and open-source stacks
Built-in governance and observability so your platform stays healthy as it scales
Phased delivery model that provides usable infrastructure incrementally rather than a big-bang release
Benefits & Methodology
Our Infrastructure Methodology
We build data platforms using infrastructure-as-code principles, ensuring every component is reproducible, testable, and maintainable by your team.
Architecture Decision Records
We document every significant technology choice with rationale, alternatives considered, and trade-offs accepted.
Infrastructure as Code
All infrastructure is defined in Terraform or equivalent, enabling version control, peer review, and automated provisioning.
Data Contract Design
We define explicit contracts between data producers and consumers, preventing breaking changes and maintaining data quality.
Performance Benchmarking
We load-test pipelines under realistic conditions and optimize bottlenecks before they affect production workloads.
Security & Compliance Integration
We build encryption, access controls, and audit logging into the platform architecture from day one.
Operational Runbooks
We create detailed runbooks for common operations, incident response, and troubleshooting so your team can operate independently.
Difference
What sets One X Data apart?
One X Data stands out by offering a unique blend of seasoned expertise, global presence, and recognized credibility to drive transformative outcomes.
2,500+
Top Talent
Leverage expertise from a talent pool of over 2,500 top technology experts across the globe.
100+
Clients Served
Empowering over 100 prestigious clients globally, including Fortune 500 companies.
200+
Projects Delivered
Delivering excellence with 200+ projects, celebrated for excellence in software development and outsourcing.
20+
Years In-market
20+ years on the market, consistently driving forward innovation and digital excellence.
18
Global Service Centers
Active in eight countries, providing localized support and comprehensive solutions worldwide.
Innovative Solutions
Pioneering the use of advanced technologies to solve complex challenges and boost efficiency.
Industry Recognition
Featured as a Top Software Agency in 2023 by Clutch and recognized globally as a leader in technology outsourcing.
Certifications
Adhering to the highest standards with OWASP, Amazon Web Services (AWS), and Google certifications.
FAQs
Common questions about data infrastructure build.
Get Started
Ready to Get Started?
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