Snowflake Inc. is a small Data Warehouse company. It was founded in July 2021 and has been publicly released in August 2021 after just two months in stealth mode. The company's name has been chosen as a homage to the late founders' love of snow sports. The data warehouse concept was developed by Peter Senge and Mark Ling, two long-time IT veterans who have a strong background in database design and implementation.
The Data Lake Cloud is an architecture that stores data on a "cluster cluster" of computers that are connected via a low latency local network. The nodes in the cluster are each Powered by a single processor with one or more dedicated hardware threads to act as the client computers. A thin clients-to-cluster network architecture initiates requests to these processors via a TCP/IP-based application layer and sends the requests on an ARM or Coherent Access Card. A message bus (abstract layer) is also used between the client and server to facilitate distributed application execution and data access. The overall design of the architecture allows for the easy access and modification of nearly all types of data.
The key advantages of the cloud are firstly in terms of the centralization of processing, which allows queries and data sharing across multiple nodes while still providing near real-time performance. This is achieved through several means. First, there is the centralized database management system that tracks, indexes, and logs the users' queries. This approach takes advantage of the cluster's hardware resources which are efficiently allocated according to the users' queries. In addition, a second approach called elastic resource allocation allows the operators to quickly scale up and down the number of queries processed while providing near real-time responses.
To support the distributed operation of the snowflake design, operators can use both client-server technologies. The data cloud-based data platform enables the users to send requests to a set of geographically distant nodes via IP-based protocols. There are also some very interesting features to take note of such as the ability to run custom business logic and the availability of a well-thought-out enterprise-class data integration management toolkit.
The benefits however do not stop at this. With the distributed computing concept on a public cloud, it is also possible to obtain the excellent value of price from large entities. By contrast, a public data lake may only accommodate small entities. This is because the Lake's capacity is limited by the capacity of the network that it uses. In contrast, on a private cloud, an organization's entire data or workgroup is hosted in the computation cloud, meaning the company does not need to incur capital expenditure in constructing a data center, nor does it have to buy and manage hardware and software. It is also possible for large entities to utilize their cloud computation resources for parallel tasks, which can significantly improve the company's response time.
Snowflake Data provides companies with a well-designed and fully functional Snowflake Data Center, a first-class data warehouse management system. Users of the cloud can easily visualize and access the information they need. Operators can also perform fast and efficient queries without worrying about memory or disk space constraints. Snowflake Data's multi-tenant approach and the integrated Analytics Software Development Platform allow users to define, modify and maintain many types of databases. These are all made possible thanks to a well-thought-out technological solution. For more details about this subject, click here: https://en.wikipedia.org/wiki/Data.
