Data Engineering

Good data science cannot happen without good data. Data Engineers ensure the data is available at the right time, in the right format, and with sufficient quality to empower analytics. This is increasingly difficult in an era where the volume and variety of data is available at an increasing rate.

Our team of Data Engineers are professionals with that essential mix of ‘IT’ know how and ‘analytic’ skills. They use a range of modern data technologies coupled with languages such as Python to build scalable data workflows and API.

The Mango team can deliver Data Engineering projects, or help you to build your own Data Engineering teams through the delivery of training and mentoring.

Whether you’re looking to install a new R server or design a new data science environment, our Data Engineers bring their knowledge of both Data Science and IT to do this successfully. Talk to our Sales team to find out how we can help you.

Data Infrastructure

A Data-Driven company requires a sophisticated IT infrastructure to support the analytic process. From environments that Data Scientists can use to gain insight from data, to mechanisms to quickly deliver this insight into the hands of decisions makers, the potential complexity of such environments can seem daunting. This is exacerbated when you consider that analytic tools such as R, Python and Spark will be core elements of a platform.

Our Data Infrastructure team can help inform your data\analytic strategy, support the development of your analytic infrastructure and support your use of analytics technologies.

Whether you’re looking to install a new R server or design a new data science environment, our Data Engineering and Infrastructure team bring their knowledge of both Data Science and IT to do this successfully. Talk to our Sales team to find out how we can help you.