Snowflake Data Lake and Its Advanced Features

Snowflake Data Lake is an optimized cloud-based data warehousing solution offering unlimited storage and high computing facilities. You have the option of flexible data storage and can scale up and down whenever required by paying only for the quantum of resources used. This is helpful for businesses as additional investments need not be made in hardware or software whenever there is a need for more storage resources.

Snowflake data lake is a high-performing platform where multiple users can simultaneously execute multiple intricate queries without facing any lag or drop in speeds. Moreover, because of the extendable architecture of the Snowflake data lake, seamless loading of databases can be carried out within the same environment, thereby doing away with the need for specifying a data lake or a data warehouse to operate on.

An example will explain this point better. Data generated through Kafka can be transferred to a cloud bucket from where the data is converted to a columnar format with Apache Spark. This processed data is then directly loaded to the conformed data zone. Hence, there is no need for businesses to choose between a data lake or data warehouse.

There are several benefits of the Snowflake data lake.

Large volumes of structured and semi-structured data such as JSON, CSV, tables, Parquet, ORC, and more are quickly ingested into the Snowflake Data Lake without using separate silos for data storage. Further, users can avail cost-efficient data storage facilities by paying for the quantum of resources used and not a flat fee. Finally, Snowflake Data Lake provides guaranteed data consistency so that data is easily manipulated for cross-database links and multi-statements transactions.

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