6. How snowflake handles Concurrency and accessibility ?
Snowflake addresses concurrency issues with its unique multicluster architecture: Queries from one virtual warehouse never affect the queries from another, and each virtual warehouse can scale up or down as required. Data analysts and data scientists can get what they need, when they need it, without waiting for other loading and processing tasks to complete.
7. What are the Supported Cloud Platforms in snowflake ?
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure (Azure)
8. Explain Data Loading in snowflake ?
Snowflake supports loading data from files staged in any of the following locations, regardless of the cloud platform for your Snowflake account:
Internal (i.e. Snowflake) stages
Amazon S3
Google Cloud Storage
Microsoft Azure blob storage
9. What are the different editions of Snowflake ?
Standard Edition
Enterprise Edition
Business Critical Edition
Virtual Private Snowflake (VPS)
10. Can we consider snowflake as an ETL tool?
Yes, if can Extracts data from the source and creates data files. Data files support multiple data formats like JSON, CSV, XML, and more. Loads data to an internal or external stage. Data can be staged in an internal, Microsoft Azure blob, Amazon S3 bucket, or Snowflake managed location. Data is copied into a Snowflake database table using the COPY INTO command.
