In this chapter, you learned how to use Python to query and insert data into both relational and NoSQL databases. You also learned how to use both Airflow and NiFi to create data pipelines. Database skills are some of the most important for a data engineer. There will be very few data pipelines that do not touch on them in some way. The skills you learned in this chapter provide the foundation for the other skills you will need to learn – primarily SQL. Combining strong SQL skills with the data pipeline skills you learned in this chapter will allow you to accomplish most of the data engineering tasks you will encounter.
In the examples, the data pipelines were not idempotent. Every time they ran, you got new results, and results you did not want. We will fix that in Section 2, Deploying Pipelines into Production. But before you get to that, you will need to learn how to handle common data issues, and how to enrich and transform your data.
The next chapter will...