A data engineering design is the actual plan to build the technical solution. It includes the system architecture, data integration, flow and pipeline orchestration, the data storage platform, transformation and management, data processing and ana...
In this discovery exercise lab, we review a problem statement and do the analysis to define the scope of work and requirements. Preliminary data analysis must be done by downloading some sample files with Python and running some queries using Jupy...
During the discovery step of a Data Engineering Process, we look to identify and clearly document a problem statement, which helps us have an understanding of what we are trying to solve. We also look at our analytical approach to make observation...
Data Engineering is changing constantly. From cloud data platforms and pipeline automation to data streaming and visualizations tools, new innovations are impacting that way we build today’s data and analytical solutions. This is an overview of Da...
As Software Engineers, we usually work with multiple projects in parallel. This forces us to configure our work stations with multiple software development tools, which eventually leaves our workstation performing poorly. To overcome this problem,...