Snowflake Data Warehouse II

Previously, big data stores were built by organizations in-house. Data engineers used open-source software, like Apache Hadoop to do this. But you needed a team of data engineers to develop and support this kind of a system. Plus, these specialists are in high demand and low supply.

Snowflake provides an enterprise solution that makes the gathering, processing, using big data easy. Its most remarkable feature is the ability to bring up an unlimited number of virtual warehouses. This makes it possible to run an infinite number of independent workloads against the same data without any risk of contention.

6 reasons you need to learn Snowflake :

1. Snowflake puts data warehousing onto the cloud, without locking customers into any vendor. Therefore, Snowflake is seen as a neutral vendor.

2. Snowflake separates compute and storage requirements, so you can scale them up or down independently. This allows greater flexibility.

3. Snowflake is a better platform to start and grow with because it is an overall easier software to approach.

4. It a relational database management system (RDBMS), which uses an SQL database engine designed for the cloud. And doesn’t work on top of an existing database.

5. Snowflake’s architecture enables data sharing among Snowflake users. This allows the provider to create and manage a Snowflake account for a consumer, say users.

6. You could experience concurrency issues (such as delays or failures) when too many queries compete for resources, in a traditional data warehouse. Snowflake on the other hand addresses concurrency issues with its unique multi-cluster architecture.