Data Engineering
Leverage your data
Holistic data strategy
Conscious data management
Data is the new oil. You have to collect, store, secure and refine to benefit from it. First of all, build a data warehouse. Secondly, collect, clear, and pre-process data. Thereafter get compliant. And then you can leverage your data for better business decisions and AI-driven automations.
Lastly, do not forget to destructure when it comes the time.
Data warehouse development
Building a bunker
Have a data model. Have a data flow diagram. Build a source agnostic integration layer. Adopt a recognized data warehouse architecture standard. Consider adopting an agile data warehouse methodology. Favor ELT over ETL. Adopt a data warehouse automation tool. Pick a data warehouse environment.
That is all. We are here to help if you get stuck.
How to benefit form your data?
Main usecases
You may need to visualize data to gain understanding on your business processes. You may want to deep dive into the details when it comes to investigate something. Oh, and time-to-time the need arises for using rough or derivated data in various business appliacations.
Read the full storyTechnology stack
It is a long list
We build data warehouses on IBM, Microsoft, Oracle, SaaS, and DataPlus platforms. It is not a problem for us using Tableau, Qlick, Power BI, Kibana, and Grafana for data visualization.
Our data engineers love Python for data mining.
Hortonworks, Cloudera, Hadoop, Kafka, Spark, and many others can be mentioned from our tech stack.
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