Database administration
Setup, tuning, backups, replication and upgrades for PostgreSQL, MySQL, SQL Server and NoSQL databases.
Service 04 / 07
Database Management & Data Engineering
In today's AI-powered world, data engineering is one of the most important areas for any company. AI models, analytics and automation are only as good as the data behind them. We design, run and tune the databases and pipelines that keep your data accurate, secure and ready to use.
- Databases
- PostgreSQL, MySQL, SQL Server, NoSQL
- Pipelines
- Batch and real-time
- Platforms
- AWS, Azure, Google Cloud, on-prem
- Outcome
- Data ready for analytics and AI
Capabilities
What we deliver
- 01
- 02
Data pipelines
Reliable pipelines that move and clean data between your apps, vendors and warehouse, on a schedule or in real time.
- 03
Warehouses and data lakes
One central, well-organized home for your company's data, built for fast reporting.
- 04
Data quality and governance
Validation, lineage and access controls, so people can trust the numbers and only see what they should.
- 05
AI-ready data
Cleaned, structured and indexed data, including vector search, ready to power AI assistants and models.
- 06
Performance and cost tuning
We find the slow queries and oversized servers, and fix them.
Why it matters
Why data matters more than ever
Every AI project eventually runs into the same problem: the data is scattered, inconsistent or locked inside systems that don't talk to each other. Companies that fix their data foundations first get far more out of AI, analytics and automation, and they get there faster.
Data engineering isn't the flashiest part of an AI project, but it's the part that decides whether the project works. We build the foundations that make everything else possible.
Industries we apply this in
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