Snowflake Interview Questions and Answers

It is an analytic data warehouse implemented as a SaaS service. Snowflake has been built on a new SQL database engine with an amazing architecture built for the cloud. This cloud-based data warehouse solution was first known on AWS as software to load and analyze massive volumes of data. However, the most unique feature of Snowflake is its capability to spin up any number of virtual warehouses, which indicates that the user can operate an infinite number of independent workloads as opposed to the same data without any risk of contention.

ETL stands for extract, Transform, and Load. ETL is the method that we use for extracting the data from multiple sources and loading it to a particular database or data warehouse. These sources include third-party apps, databases, flat files, etc. Snowflake ETL is a process to apply the ETL approach for loading the data into the Snowflake data warehouse or database. Snowflake ETL also contains extracting the data from the data sources, doing the necessary transformations, and loading the data into Snowflake.

Snowflake is built-up entirely on a SQL database. Snowflake is a columnar-stored relational database that works well with Excel, Tableau, and many other tools. Snowflake has its query tool, supports multi-statement transactions, role-based security, etc., which are desired in a SQL database.

The Snowflake data partitioning is called clustering, and the table is arranged according to cluster keys. Re-clustering refers to the process of managing clustered data in a table.

Unique features of the Snowflake data warehouse are detailed below:

• Database and Object Closing
• Support for XML
• External tables
• Hive meta store integration
• Supports geospatial data
• Security and data protection
• Data sharing
• Search optimization service
• Result Caching

To gain complete knowledge about snowflake features Snowflake Training helps to a great extent .

Snowflake cloud data warehouse platform gives instant, secure, and governed access to the entire data network and a core architecture to enable different types of data workloads, including a single platform for developing modern data applications.

Snowflake helps the most common standardized version of SQL, i.e., ANSI, for effective relational database querying.

• Microsoft Azure (Azure)
• Amazon Web Services (AWS)
• Google Cloud Platform (GCP)

the best ETL tools for Snowflake are as follow:

• Hevo Data
• StreamSets
• Etleap
• Apache Airflow

Snowflake's zero-copy cloning allows us to generate a copy of our tables, databases, and schemas without replicating the data itself. To assume zero-copy in Snowflake, we include using the keyword known as CLONE. Using this action, we can obtain live data from the production and carry out multiple actions.