Next, I will start with the ETL process and application scenarios to explain why companies are willing to invest resources in ...
Mention ETL (Extract, Transform and Load) and eyes glaze over. The thought goes: “That stuff is old and meant for clunky enterprise data warehouses. What does it have to do with my ...
For data integration, pipelining, and wrangling data: Here are the seven types of tools you should build your data tool set from. Data doesn’t sit in one database, file system, data lake, or ...
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