Modern technology platforms underpin data-driven transformation. Our data engineering services bridge the gap between data science and data strategy – ensuring access to the right data, at the right time, in the right format, for your advanced analytics to thrive..
Any data science team is only as good as its data engineers. And we have some of the best. Our specialists use a variety of modern data technologies and languages, like Python and R, to build scalable data workflows and APIs; collecting, storing and transforming data – even from legacy systems – for advanced analytics. From individual projects to company-wide transformation, we work closely with data scientists to integrate models into your operations and translate theory into results.
How we Use Our Data Engineering Services to Add Value
To a modern platform that is efficient, robust and adheres to data governance for process improvement.
That data scientists can analyse and use to build predictive models
To ensure results are available within the enterprise’s suite of data tools
Including databases, computation engines, visualisation tools, web servers and data visualisation apps
In a cloud based environment.
Even if your data won’t be stored in a traditional RDMS, many modern systems (like Hive on Hadoop) still use a SQL interface.
Building efficient and easy-to-maintain ETL or ELT pipelines to move, transform and store data (including batch processing and data streaming).
Building data warehouses that deliver what analysts need, aligned to data governance (including entity-relationship modelling, dimensional modelling, and metadata management).
To action all of the above into practice in a safe, robust way..
Our data engineering team combines specialist knowledge from a wide variety of backgrounds, including database and data warehouse development, general software development, BI and data analytics through to DevOps engineering.
Talk to one of our experts to discover how Alfa Xperienz Solutions can help you achieve your AI and data-driven aspirations.