From the course: Complete Guide to Analytics Engineering
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Benefits and drawbacks of ETL tools
From the course: Complete Guide to Analytics Engineering
Benefits and drawbacks of ETL tools
- [Narrator] In our discussion of ETLs and ELTs up to this point, we've only focused on custom built data pipelines in Python. A lot of companies skip building custom data pipelines and instead opt for an ETL tool that does a lot of the work for you. Some of the advantages of paying for these services of an ETL tool are they're a great resource for companies with less technically inclined employees who lack the skills required to build a data pipeline. Companies can spend less time on data collection and more time on analytics and data science. These tools can troubleshoot and alert you of data problems allowing you to not stress over your data quality and reliability. And lastly, these tools are often also scalable and can easily grow alongside your company with little effort from your engineering department. Some disadvantages of employing an ETL tool are cost. The prices of these tools are not only based on how frequently they run, but also on how long they take to finish the size…
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