Summary
This chapter went through the power and versatility of using Jupyter notebooks for data exploration. We went over the different notebook options available for usage in Google Cloud including Vertex AI Workbench instances and Colab notebooks. Each service has a specific target user and both are collaborative and have the same general purpose – extending your BigQuery data exploration with Python and JupyterLab. With practical examples and step-by-step instructions, the chapter equips you with the necessary knowledge to effectively explore and prepare data, using notebooks in conjunction with BigQuery.
In the next chapter, we will delve into exploring and visualizing data to enable you further, with even more options to explore data in BigQuery. Take a look at the links in the Further reading section for additional information related to this chapter.
