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etl

10 QUESTIONS TO ASK BEFORE USING NEW DATA

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We create a list of 10 questions you need to ask before you set your sights on a dataset. This checklist will help you assess all the elements you need to know in order to proceed with your data project.

2 June 2020 Web

HOW TO DIVIDE AND CONQUER YOUR DATA PROJECT FOR SUCCESS

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In this article, we explain why all your different data extraction processes should be decoupled for a more seamless workflow. That might sound counterintuitive… But the idea is as old as the world: divide and conquer (even algorithms understand).

22 May 2020 Web

14 RULES TO SUCCEED WITH YOUR ETL PROJECT

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To help your developer navigate the deep and dark waters of ETL, RefinePro has drawn on their years of experience to create a list of ETL (extract, transform, and load) principles and best practices.

22 May 2020 Web

HOW TO MAINTAIN DATA QUALITY AT EVERY STEP OF YOUR PIPELINE

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Maintaining the quality of your data is paramount to any web scraping or data extraction project.

26 April 2020 Web
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