Summary
Throughout this chapter, we embarked on a detailed journey through the realm of ETL processes, specifically how they are applied to extract and handle marketing data. The vital role of data ingestion was discussed, and we emphasized the importance of EDA. Furthermore, we elaborated on the necessity of common data transformations to ensure data normality, thereby safeguarding the validity of any insights or models derived from the data.
After learning how to extract raw data from various sources, we discussed the need to summarize, cleanse, and organize it for subsequent analysis. Techniques for preparing data, including cleaning data and handling missing values and outliers, were explored. We also delved into the significance and methodologies of EDA, enabling you to understand the patterns, anomalies, and structures inherent in the data, laying a solid foundation for any ensuing analysis.
Finally, we engaged in a comprehensive discussion on the array of transformation...
