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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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 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
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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Overcoming Data Administration Challenges and Strategies for Effective Data Management
Businesses face significant challenges to continuously manage and optimise their databases, extract valuable information from them, and then to share and report the insights gained from ongoing analysis of the data. As data continues to grow exponentially, they must address key issues to unlock the full potential of their data asset across the whole business.…
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Are you considering AI adoption? We summarise our learnings, do’s and don’ts from our engagements with leading clients.
How Ardent can help you prepare your data for AI success Data is at the core of any business striving to adopt AI. It has become the lifeblood of enterprises, powering insights and innovations that drive better decision making and competitive advantages. As the amount of data generated proliferates across many sectors, the allure of…
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Why the Market Research sector is taking note of Databricks Data Lakehouse.
Overcoming Market Research Challenges For Market Research agencies, Organisations and Brands exploring insights across markets and customers, the traditional research model of bidding for a blend of large-scale qualitative and quantitative data collection processes is losing appeal to a more value-driven, granular, real-time targeted approach to understanding consumer behaviour, more regular insights engagement and more…
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