Moving data between systems is called ETL, which stands for Extract, Transform, and Load.  The ETL team almost always does the moving of data because load scripts are easier to learn than Latin, transformation is more difficult than brain surgery, and computing resources are about as easy to manage as cats.

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Tom has broken the search record on O’Reilly Media when it comes to Data Engineering. Tom Coffing has been in the data warehousing game for more than thirty years – and his books can be found on the shelves of some of the best data scientists out there.

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Let’s take what we learned about Reading and Writing files in Python and see what happens when you utilize this function with an SQL system. Then we can explore more advanced variations of Reading and Writing in Python.

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After the success of our Understanding Python Basics series, Tom had turned his focus to the more advanced aspects of the Python programming language. In this article, you’ll learn about dictionaries and maps and how you can utilize them in your programming.

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It’s all about the software! Tom talks about the history of hardware driven vendors, and how the current climate for big data analytics is in cloud computing and Software-as-a-Service (SaaS).

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Let’s continue our exploration of the Python programming language. In this article, we’ll first learn about the differences between a Function, a List, and a Tuple. Then we’ll learn about creating a dictionary or a map in Python.

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