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Advance Topics like Database, schema, archetecture desig, optomization, snow pipe, stage, time travle, streams, task, objects etc.
Snowflake is a cloud-based data platform (SaaS) that unifies data warehousing, data lakes, data engineering, data science, and data sharing into a single environment, built natively for the cloud on AWS, Azure, or GCP, offering a unique architecture for elastic performance, scalability, and cost-efficiency by separating storage and compute. It simplifies managing complex data workloads, handling various data types (structured, semi-structured) without upfront schema, and enabling secure data collaboration across organizations, making it ideal for modern analytics and business intelligence.
- Cloud-Native Architecture
: Runs on major clouds, separating storage, compute, and services for independent scaling.
- Unified Platform: Supports data warehousing, data lakes, engineering, science, and secure sharing.
- Elasticity: Scales compute resources up or down instantly to match workload demands.
- Data Sharing: Enables live, secure sharing of data and logic across organizations without ETL.
- Managed Service (SaaS): Handles infrastructure, upgrades, and maintenance, freeing users from operational overhead.
- Versatile Data Handling: Stores and processes JSON, Parquet, Avro, XML, and more without predefined schemas.
- Workloads: Ideal for OLAP (analytical) but not typically for high-volume OLTP (transactional) systems.
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