Data Pipelines
Does your organisation collect data from multiple sources and are you looking to streamline your data and ensure that it’s handled securely? Ardent data pipeline development services will ensure that your data is structured, accessible and secure.
Data Pipeline Development
Data pipelines consist of 3 key elements: a source, processing steps and the destination. Ardent’s highly skilled data engineers can architect data pipelines that will allow the flow of data from a specific application to a database, a data warehouse or a third-party system.
Technology, with you in mind
Our data experts have experience in dealing with large volumes of complex data coming at varying speeds for a number of clients. They use some of the worlds leading data technologies such as AWS, Hadoop, Kafka, Spark and more. So, whether you have a preferred technology or want us to make suggestions, we can fulfil your data needs.
Data pipeline development services
Our services will increase productivity, make data easily accessible and organised and ensure a smooth flow of both data input and output. If you are looking for talented data engineers that can work as an extension of your team or work independently to help you support your project, then get in touch.
If you are looking to aggregate data from multiple sources, with robust and scalable pipelines, get in touch to find out how we can help.
Key Benefits
Ensure a smooth flow of data across the business
Distribute data easily and securely in a structured way
Monetise data with efficient pipelines
Explore our success stories
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Making data science efficient
Our client required high data availability with no delays therefore, they needed to ensure that their data pipeline consisting of various sources were continuously and consistently running without errors. […]Read More… from Making data science efficient
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Powerful insights driving growth for global brands
Our client were looking to collate data from various sources with high data accessibility and accuracy to provide a speedy turnaround time for their end customer. […]Read More… from Powerful insights driving growth for global brands
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Empowering brands to create targeted TV advertising
We built secure, scalable and robust data pipelines that automated the data processing process for a well established client. Their data, from variety of courses need to be collated whilst ensuring high performance, and that’s exactly what Ardent delivered. […]Read More… from Empowering brands to create targeted TV advertising
Technical Expertise
We use the latest, most innovative technologies to deliver our data pipeline development services for your data. Our data experts are proficient in world-leading data technologies including, Hadoop, Spark, MongoDB, Azure, AWS, Kafka and more.
More on our technology partners.
Technical Expertise
Ardent Insights
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Building data pipelines – a starting guide
Data visibility can be a huge driving factor for organisation growth. Poor data visibility can lead to a lack of compliance with data security, difficulty in understanding business performance and increased complexity in dealing with system performance issues. Developing secure, robust and scalable data pipelines can empower businesses to gain data visibility by connecting the…
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Top trends in data engineering with predictions from Ardent experts
The global big data market is expected to be worth around USD 103 by 2027 as predicted by Statista. Data is the lifeblood and an incredibly useful resource for every organisation, to understand their own business and processes. Good quality data provides powerful insights for organisations to make well-informed, data-driven decisions to grow. Data engineering…
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Key challenges with managing data pipelines
Data is constantly evolving and growing this directly impacts the complexities of data pipelines as they aggregate and transform and transfer the data from source to destination. As the number of data sources grows, businesses are looking to build secure, robust and scalable data pipelines to collate their data to get the full picture. Data…
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