In Google Cloud Platform (GCP), we have multiple ways to store and manage data. The Data solutions offered by Google Cloud cut across extremes of varying factors such as:

* Structured, Semi-Structured, or Unstructured Data
* SQL, NoSQL, File, or External Database Compatibilities
* Small amounts to Petabytes Scale of Data
*Data Expiry to Very Long Term Retentions
* Cost Flexibility, Free Tiers, and Usage Discounts
* Combinations of Data Solutions
* Creating and Managing AIs from Data Abundances
* etc.

At all phases of hobby apps, startups, or full-blown business, builders always have to access and manage loads of data, either provided by themselves or generated by application usage.

In this session, we will look into popular GCP Data and Storage Solutions, common data and storage patterns of applications, and intersections of both to maximize efficiency, reduce cost, and make better architectural decisions.