September 2024
Beginner to intermediate
456 pages
11h 53m
English
Content preview from Python Data Cleaning and Preparation Best Practices
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Data Ingestion Techniques
Data ingestion is a critical component of the data life cycle and sets the foundation for subsequent data transformation and cleaning. It involves the process of collecting and importing data from various sources into a storage system where it can be accessed and analyzed. Effective data ingestion is crucial for ensuring data quality, integrity, and availability, which directly impacts the efficiency and accuracy of data transformation and cleaning processes. In this chapter, we will dive deep into the different types of data sources, explore various data ingestion methods, and discuss their respective advantages, disadvantages, and real-world applications.
In this chapter, we’ll cover the following topics:
- Ingesting ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.