Data Science Essentials

How to Extract / Parse Data from JSON Data using Google Cloud BigQuery SQL

Summarize the challenges of JSON data and share BigQuery SQL code for an example

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Introduction

As a data scientist, working with JSON (JavaScript Object Notation) data can present several challenges. Here are some common difficulties you might encounter:

1. Data Structure: JSON data can have complex, deeply nested structures, making it challenging to extract and manipulate specific information.
2. Data Integrity: JSON data can be prone to inconsistencies or missing values, especially when obtained from multiple sources or generated dynamically.
3. Schema Evolution: JSON data often evolves over time as new fields are added or existing fields change their structure. Managing schema changes requires careful attention to ensure compatibility and prevent data compatibility issues in downstream analysis or applications.
4. Large Dataset Handling: When dealing with large JSON datasets, memory and processing requirements can become a challenge. Loading and processing sizable JSON files may require efficient memory management techniques, streaming, or parallel processing to avoid…