Data Engineering Teams
Your data, in expert hands
Is the performance and accessibility of your data becoming a challenge due to the increasing volumes of data?
Our data engineers will seamlessly integrate with your in-house teams to resolve your data challenges and ensure that your data is high in quality and performance.
High-performing Data Engineering Teams
Data is increasing at a phenomenal pace, leading to slow systems, poor data quality and management. Are you facing these data challenges but lack the in-house resources or skills to efficiently deal with data?
Our expert engineers are certified in world-leading technologies such as AWS, Azure, MongoDB and more. We use a wide variety of data technologies and platforms to ensure your data is how it should be, organised, clean and secure.
Expertise to unlock your data potential
Ardent’s data engineering teams have worked on a wide variety of data projects from building complex, scalable data pipelines to building first-of-its-kind data reporting tools. We have the expertise to help you unlock your data potential by effortlessly integrating our teams with yours to work towards common success.
Ardent data engineering teams engage with you to develop automated ETLs, and data pipelines that channel big data into cloud-based data lakes that offer business users advanced analytical capabilities.
Building and optimising data-driven architectures in the cloud
We help you design schemas and optimise existing data management and automation solutions. Ardent engineers will design, implement and configure data preparation solutions that prepare your data to be analysed.
Scalable data pipelines for complex data needs
We help you design and implement automated ETL solutions, robust data pipelines that remove the manual processes and errors to deliver streamlined data feeds and optimise data collation and distribution for high performance and quality.
Implementing effective data monitoring, optimisation and support
With our 24/7 data management teams and services, your critical data-based systems in the cloud are always secure, available, and highly performing.
If you are dealing with big data and need the expertise to manage your data effectively, get in touch to find out how our data engineering team can help.
Key benefits
Data preparation, quality and enrichment
Data pipeline platform selection implementation
Data management, administration and monitoring
Explore our success stories
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Automating data collection with OCR technology
Accelerating market research by automating data collection with OCR technology. […]Read More… from Automating data collection with OCR technology
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Monetizing broadcasting data
A market leader, internationally renowned media and broadcasting company Founded in 2002, our client has been around for over two decades and is an internationally known company dealing with broadcasting data for commercial use. With a mission of making high-quality technology and content affordable for everyone, they have established themselves as a market leader. […]Read…
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Making logistics simple
Leader logistics software provider Our client is a leading logistics software provider in the UK. With over 3 decades of experience in the industry, they continuously look to innovate with technology. Their range of software products includes a warehouse management system and removal management software. They aim to remove the complexity of software and bring…
We partner with the best in data technologies
Our data engineers, proficient in world-leading technologies can come on board to design, build, implement and support impactful data solutions for your data challenges.
More on our technology partners.
We partner with the best in data technologies
Ardent Insights
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Which Platforms Are Ahead in AI-Ready Data Pipelines?
At Ardent, we have spent years helping organisations design, modernise and operate the data foundations behind critical reporting, analytics and decision-making. That experience gives us a clear view of what now separates AI-ready businesses from those still struggling to get value from their data. It is not the amount of data they hold, or even…
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Making Your Existing Data Pipelines AI-Ready
From Stable Infrastructure to Adaptive Intelligence Most organisations do not need more data. They need their existing data to work better. At Ardent, we spend a significant amount of time inside large-scale client data platforms that are already mature, operational, and delivering value. These are not greenfield environments. They are complex ecosystems built over years,…
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AI-Powered ETL in Amazon Redshift
When the Warehouse Starts Doing the Work In our previous piece, we explored how ETL (Extract, Transform, and Load) is evolving into adaptive, intelligent systems. In Redshift environments, we are now seeing what that shift looks like in practice. For most of its life, Amazon Redshift has been treated as the final step in the…
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