Data to AI – Modeling Your Databases for Analytics and ML
Businesses rely on analytics to gain valuable insights and make informed decisions. Cloud databases have emerged as a powerful platform for storing and analyzing large volumes of data. To leverage the full potential of cloud databases for analytics, effective data modeling is crucial. It involves a deep focus on the needs of data analysts, business intelligence, and data operations teams. It involves designing a database that is optimized for data analysis, such as querying, reporting, and visualization, and by extension for advanced analytics, such as machine learning (ML) and artificial intelligence (AI). In this chapter, we’ll explore some key considerations and best practices for data modeling for analytics, ML and AI in cloud databases.
In this chapter, we’ll cover the following topics:
- Modeling considerations for analytics, AI, and ML
- Data to AI
- Google Cloud ETL services
- Google...
