With the advent of public clod like AWS, Google Cloud, Azure and the adoption of these public cloud services by various businesses, companies and organizations, one of the main talking points is how data can be stored in the cloud, security concerns, architecture. These are all the topics that are of main interest when storing data in the cloud. In certain organizations the move to cloud has been very quick, in certain sectors the adoption has been pretty slow primarily due to security concerns. Now these challenges are being overcome steadily. In terms of data services, one of the cloud platforms that is very popular for the last few years and also getting ready to go for IPO is SnowFlake. The link for the company is www.snowflake.com. Snowflake is a global platform for all your data services, data lakes and data science applications. Snowflake is not a relational database but supports SQL basic operations, DDL,DML, UDF,Stored Procedures. Snowflake uses Amazon S3 and now Azure as the public cloud platform for providing the data services over the cloud. Snowflkes architecture in terms of the database is that it uses columnar storage to enable faster processing of queries. Data is loaded into Amazon S3 through files into user areas and then is moved into the snowflake schema/ databases for enablement of queries. Please refer to the snowflake company website for additional information on architecture, blogs and other kits that are available for one to check out all the features. Snowflake takes advantage of the Amazon S3 storage power and uses its own columnar and other data warehouses related features for computational purposes. One can also refer to youtube for additional details on snowflake architecture. Here is a link: https://www.youtube.com/watch?v=dxrEHqMFUWI&t=14s that cane be used for snowflake architecture.