Use our data engineering expertise to build your data platform in weeks.
We believe data doesn’t have to be complicated — and building your data platform certainly shouldn’t take forever. Our modular approach means we can deliver a tailored, first rate platform in weeks, not months, giving you high-speed access to insights without breaking the bank. Think of us as your data partner, ready to tackle challenges head-on with the experience that comes from 40+ years of getting it right.
We’ve designed our modular data platforms to be as flexible as you are, which means you’re not tied down to any one setup. Instead, each component works like building blocks, so you get a fully customised platform that grows with you and evolves as your data needs change. We know our way around all the big players — Azure, AWS, GCP — and yes, we have our favorites, but we’ll always recommend the best fit for your business.
So, if you’re ready for a platform that’s agile, scalable, and budget-friendly, we’re here to make it happen.
Want to know more about data platforms and engineering?
How Oakland Built a Data Platform for Blenheim
Meet Our Data Platform and Engineering Experts
Since embarking on this data journey, actionable insights have been delivered; together with improved ‘in-year’ forecasting, targeted assurance activity, and process compliance. Improved data quality has helped unlock reporting and facilitate more advanced analytics.
Murray Leach, Network Rail
How Oakland Built a Data Platform for Elvie
FAQs
What is a Data Platform?
A data platform manages your data. It consists of tools for acquisition, storage, organisation, security, accessibility, analysis, and consumption — designed to automate manual data tasks and decisions so you can concentrate on the bigger picture.
Want to learn more? Check out our guide, ‘What is a data platform?’.
What is Data Engineering?
Data Engineering is dedicated to constructing and maintaining the architecture necessary for collecting, storing, and processing data.
Data engineers design scalable data pipelines that transform and transport data into accessible formats for analysts and decision-makers. They ensure data integrity, efficiency, and availability, enabling organisations to leverage their data assets effectively.
Through their expertise, data engineers empower businesses to gain actionable insights and drive strategic decisions based on comprehensive data analysis.
What is a Data Warehouse, Data Lake, and a Data Lakehouse?
A Data Warehouse is a centralised repository designed for query and analysis. It stores structured data optimised for fast retrieval and business intelligence.
A Data Lake, conversely, is a vast pool that stores big data in its raw format, accommodating structured, semi-structured, and unstructured data.
Data Lakehouse combines features of both, offering the management and structured querying capabilities of a data warehouse with the scale and flexibility of a data lake. It is ideal for businesses seeking robust data processing and analytics in a unified platform.
For further context on the above, please check out our blog, The Pros and Cons of Using Data Lakehouse.
Do You Need a Data Platform?
If your organisation deals with large volumes of data or requires advanced data analytics, a data platform is essential. It simplifies data management, enhances data security, and provides comprehensive tools for turning data into actionable insights.
Whether you’re a small business or a large enterprise, a data platform can drive innovation and efficiency in your operations.
Still unsure if you need a data platform? Our blog shares exactly why you need a data platform for your business.
How Does Oakland Build Bespoke Data Platforms?
At Oakland, we follow a structured approach to building data platforms:
- Consultation and Strategy: Understanding your business needs and data goals.
- Design and Architecture: Crafting a custom solution that fits your specific requirements.
- Implementation and Integration: Seamlessly integrate the new platform with your existing processes and systems.
- Training and Support: Ensuring your team is well-equipped to use the platform effectively.
Are you wondering whether you should build a data platform with Oakland or buy one? Our blog shares everything you need to know.
What are the Challenges of Building a Data Platform?
When it comes to building data platforms, you may come across a couple of challenges, including
- Excessive tech-centric focus
- Departmental data silos
- Poor quality data
- Lack of Data Governance
- Failing to consider the complexity and cost implications of the legacy data landscape
- Creating the case for change
- Not prioritising requirements
Our blog, What Are the Challenges of Building a Data Platform, discusses these challenges in further detail.
Data Platform Case Studies
Check our Platform and Engineering Case Studies, where we share success stories of how our data platforms have driven innovation, improved business decision-making, and more.
Platform insights
Here at Oakland, we’re passionate about sharing our expertise in all things platform and engineering. Explore our insights to discover a wealth of valuable information. Stay tuned for fresh content—we’re always excited to bring you the latest updates!
- Guides
- Case Studies
- Blogs
- Webinars
- Podcasts
Guides
Unlocking Your Data Future Learn how to deliver a modern cloud data platform complete with patterns of success, and common pitfalls to avoid. Learn more >Case Studies
Welcome to our Platform and Data Engineering Case Studies Showcase, where we’re excited to share some of the success stories of how our data-driven strategies have made a positive impact. Learn more >Blogs
Welcome to our blog where we keep you up to date with everything data. Learn more >Webinars
Welcome to our latest webinars where we keep you up to date with everything data. Learn more >Podcasts
Welcome to our latest podcasts where we keep you up to date with everything data. Learn more >
