Posts tagged with 'strategy'

Data extraction projects are complex and often require quite a lot of time and effort. To make sure your organization is creating value and that your money and your time are well spent, the first logical step is to choose your sources carefully. To help you achieve just that, we create a list of 10 questions you need to ask before you set your sights on a dataset. The goal here is to collect and analyze all the data existing information in order to clarify its ownership, publication, structure, content, quality, relationship, etc. Only by going through this process can you guarantee the suitability of your sources and identify potential problems and particularities.

Extracting, transforming, and loading (ETL) data is a complex process at the center of most organizations’ data extraction projects. As we saw in our article on web scraping and ETL, the implementation of an ETL workflow is a process that requires a lot of in-depth knowledge in several subfields of statistics and programming.

Stefan Urbanek when laying the foundation for the school of data program at the Open Knowledge, presented the following Data Processing Pipeline going from: