During the Dataquest Digital Leadership Coclave, Rahul Sharma, Regional Sales Director-North, Snowflake India, presented the industry keynote on mobilizing your data with Snowflake.
He started with how to make or download a copy. Companies in every industry acknowledge that data is one of their most important assets. Data Cloud enables three key things — access, and governance, and action. The data cloud is made up of two elements: Snowflake’s platform and content.
Snowflake’s platform has three unique layers that deliver on those critical requirements: The elastic performance engine, intelligent infrastructure, and Snowgrid. The elastic performance engine provides leading performance and concurrency for any workload; scales to support any number of users, data, or jobs; and is accessible for a wide range of users and skills.
The intelligent infrastructure is fully automated and managed for no maintenance; handles complex replication for no downtime; and provides continuous cost optimizations. Snowgrid spans globally, connecting regions and clouds together to enable instant sharing without ETL; cross-cloud governance controls that follow the data; business continuity; and an ecosystem of third-party data and functions.
Snowgrid unlocks data sharing, and connects users instantly to the second element of the data cloud: content. This includes data from over 150 providers; thousands of customers; and hundreds of apps. The data cloud is growing quickly, with an entire ecosystem, and industry clouds being created, that they shouldn’t miss out on becoming a part of.
Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 506 of the 2021 Forbes Global 2000 (G2K) as of April 30, 2022, use Snowflake Data Cloud to power their businesses.
This has resulted in organisations becoming data driven, using AI/ML workloads on the data to predict metrics, and share the data all across the ecosystem. This has resulted in companies using their IPs built on data to help other organisations with results that were hitherto impossible. We still live with traditional challenges around scale of compute that used to be limited. Workloads got more compute hungry– even on hyperscalers. We now have maintenance of big data platforms. Sharing of data was very cumbersome.
Billing was still per monthly, and not consumption based. With advent of cloud, people wanted multi-cloud support to protect data lock in. Data sources were increasing. It started with structured data, then semi-structured coming from web, and then, unstructured to some extent, with video, audio files, images. Then, the challenges around the governance of data came in, by creating copies, by going multi-cloud, etc.
Snowflake solved it all! We met the compute challenge with a unique architecture, and no contention. Data sharing became a breeze. We have a true consumption-based model. No SaaS, No PaaS, pay upfront and get billed as you use per second. Multi-cloud-data is the IP, and everything else can change. We removed limitations for clients to be stuck to one cloud or the other. Globally we run on all three providers.