Modern Data Stack refers to a collection of cloud-based tools and technologies designed to manage, process, and analyse data efficiently. It emphasizes scalability, flexibility, and ease of use, making it ideal for modern data and AI needs.
Key components:
- Data ingestion: Tools like Fivetran or Stitch to collect and load data.
- Data storage: Cloud warehouses like Snowflake or BigQuery to store large datasets.
- Data transformation: Tools like dbt to clean and prepare data.
- Data visualization: Platforms like Looker or Tableau for generating insights.
The modern data stack supports AI by providing clean, structured data for training models and making data-driven decisions.