Clean and transform raw data into an ingestible format using Python. In this article, you’ll learn how to work with Excel/CSV files in a Python environment to clean and transform raw data into a more ingestible format. This is typically useful for data integration.
In this article, you’ll learn how to work with Excel/CSV files in a Python environment to clean and transform raw data into a more ingestible format. This is typically useful for data integration.
This example will touch on many common ETL operations such as filter,** reduce, explode,and **flatten.
The code for these examples is available publicly on GitHub here, along with descriptions that mirror the information I’ll walk you through.
These samples rely on two open source Python packages:
Without further ado, let’s dive in!
This example leverages sample Quickbooks data from the Quickbooks Sandbox environment, and was initially created in a hotglue environment — a light-weight data integration tool for startups.
Data Quality Testing Skills Needed For Data Integration Projects. Data integration projects fail for many reasons. Risks can be mitigated when well-trained testers deliver support. Here are some recommended testing skills.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
🔵 Intellipaat Data Science with Python course: https://intellipaat.com/python-for-data-science-training/In this Data Science With Python Training video, you...
In this article, we want to analyze the first point: the landscape of open-source data integration technologies.
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