31 August 2022 | Dev

We have worked with our client in market research for a number of years on a wide variety of software and data engineering projects. The company is a well-established, global market research brand, well known for its big data science and research analytics, driving powerful, game-changing insights for their businesses. They have world-leading brands as clients, including the likes of Instagram, Hulu and Universal.
We built our client a robust, secure and scalable data pipeline collating, processing, cleansing and enriching data from three disparate sources. These pipelines, dealing with a large volume of data on a daily basis required consistent monitoring as our client wanted to ensure that the data was consistent and there were no data dropouts or delays. As we have worked together on several projects, Ardent was the operational monitoring and support service provider of choice. Read the full story on robust, scalable data pipelines with AWS infrastructure.

Our teams monitor the data pipeline to ensure that there is always consistency in data without any issues that could affect the data delivery. With a clear, organised error alerting system, any errors are dealt with quickly and efficiently. Should an error arise, there are set communication channels where the different levels or errors are communicated with various parties. If a failure does occur, the data is re-processed to ensure that there is no loss.

We ensure that our clients can rely on us to fulfil their business needs and help them face their business challenges. For this client, they can rest assured with peace of mind knowing that their data is being monitored 24/7 to ensure that their data is delivered as it should. This enables them to confidently offer data to their end clients and an ability to expand their services.

Learn more about Ardent being ISO 27001 certified.
Have peace of mind knowing that we proactively monitor and improve the performance of your data infrastructure. Get in touch to find out more or to get started on improving your data performance.
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