With a simple analogy of building a house. Data engineering and platform involves setting up the foundations for your house and putting together the plumbing. We can help you design and build data pipelines and architectures in a way that best suits your data maturity and existing infrastructure.
This is the foundation of your home, whether you decide to use double brick or stones, our team of experts can help you design and build your dream house. We are experienced in AWS, Microsoft Azure and Google Cloud.
We have also worked with clients to upgrade only certain aspects of their platform. For example, upgrading legacy batch scripts to more modern AWS lambda python functions.
This is the plumbing work required to take data from point A to point B. Our data engineers are experienced in a multitude of out-of-the-box tools which makes us technology agnostic. We can also recommend the best one to suit your business.
Secure data transfer and storage is at the forefront of our minds, our data experts can provide best practice implementations. We are also experienced with APIs.
Data modeling and preparation converts your raw data (from various disparate sources) into a common architecture to get it ready for analysis and reporting.
We have successfully delivered a number of data engineering projects using a range of tools, FiveTran, DBT, Hevo, Hightouch, Microsoft SSIS, DataIKU, and Alteryx.
Catalogue data assets, develop data dictionaries, identify data lineage and handle personal information based on industry best practice.
Our platform partner, KADA, can help you discover, understand and govern your data with minimal resources and reduce data risk.
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