Data preparation best practices
As discussed in previous chapters, data preparation is a critical step to make sure your data is well organized, clean, and optimized for analysis in BigQuery. By following the data preparation best practices listed in this section, you will be ready to perform cost-effective regular operations on BigQuery.
Understanding your data and business requirements
Before doing any data preparation or analysis, you want to have a good understanding of your data and the business questions you wish to answer. It is recommended to have a good idea of your requirements and the opportunities in the data for business insights. Make it your mission to gain insights into the specific identified area of your business and data. This will guide you in designing an appropriate schema and choosing the right data types, which will allow you to operate efficiently and cost-effectively.
Denormalizing your data
Storing related data in the same table can improve performance...
