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How modern Cloud Data Warehousing helps you scale enterprise insights (using Snowflake)

Over the past decade, data and information have been evolving at warp speed and has quickly become the key to the future. With the amount of time the world spends on the internet, it is not surprising that over 2.5 quintillion bytes of data is generated every day.

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How modern Cloud Data Warehousing helps you scale enterprise insights (using Snowflake)

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  1. Source: Snowflake Documentation Some unique features of Snowflake cloud data warehousing are: •It doesn’t require any additional software or hardware implementations, installations, configurations and maintenance •It works based on the ‘pay-as-you-go’ model with no upfront costs •Automatically provisions new compute resources as workload increases and release resources as workload decreases and you only pay for what you use per second •It provides easy data sharing with other organizations or within organization with just few simple steps •Time travel and data recovery are the two game changing features that no database provides. You can go back to your point in time previous state of the data with ease. •It is easy to get started and easy to work with The snowflake architecture is based on the shared-disk and shared-nothing architectures, providing the client with the best of both worlds. It comprises three main layers i.e a storage layer, a compute layer, and a cloud layer.

  2. Source: Lifecycle Diagram, Snowflake Documentation Benefits of Snowflake Cloud Data Warehouse On-demand Processing for Scaling-up Computing Needs Scalability is the best feature of Snowflake cloud data warehousing. It enables you to scale each layer independently and is charged for each layer separately. If you ever need to increase your storage then you can scale up the storage layer and are only charged for it. This ensures fewer storage costs and more computing. Coming back to scalability, Snowflake provides you with an auto scalability option and depending on your usage you can scale-up or down. Auto scalability removes any concurrent bottlenecks during heavy traffic periods and it does not require any redistribution of data while scaling. Serverless Processing Without Maintenance of Infrastructure Serverless architecture depends on a third-party service known as BaaS (backend as a service) or it can also be run using custom code in FaaS (function as a service). In this architecture, you build and run applications or services without having to worry about the infrastructure. Though the name suggests otherwise, the code is not ruined without the use of servers and the developer using the server or the virtual machine does not have to purchase or rent it, hence the name ‘serverless computing’ The serverless architecture enables you to focus more on the code and logic rather than focusing on running the code and what infrastructure is used i.e, hardware, virtual

  3. operating system, etc. Also, the serverless approach is quite cost-effective, as you only pay for what you compute and it measures the consumption in serverless storage. Serverless computing is slowly but surely gaining traction and according to Gartner, over 20% of global enterprises will deploy a serverless computing approach by 2020, which is an increase from fewer than 5% as of April. Scale-up Storage on Demand Serverless computing scales faster than any other cloud servers. With serverless, horizontal scaling is automatic. The developer doesn’t have to set up or tune the auto- scaling system, instead, the cloud provider is responsible to manage the scaling on- demand. And storage and compute needs can be scaled up or down depending upon the need, scaling in serverless computing is known as elasticity. An added benefit of adopting the serverless approach is that unless and until you have a steady flow of traffic that continuously uses the whole capacity of the host-servers, you can save loads of money. No Maintenance: As said earlier, the developer doesn’t have to worry about the infrastructure, memory, storage size, etc. The provider manages all the operations and gives the developer a free rein to use the fully managed services. This removes the need for maintaining or managing the administrative tasks and focuses on the core business aspects, codes, and logic. The serverless approach enables you to simply deploy the code and make it run with high availability. The developers can create independent functions that are used to perform a single function, simplifying the back-end process. Quick ROI: The following benefits of serverless computing that quicken your ROI: •The serverless provides the developer with an opportunity of minimizing the time and resources it takes to develop a product/service and push it into the market. •It provides organizations with the ‘pay-as-you-use’ option i.e., the users are not charged for idle capacity and the function invocation, workloads are used to measure the storage usages. •Scaling on-demand is managed by the provider, economically benefiting the developer and the organization. Shifting to serverless architecture helps the organizations to reallocate the resources, eliminating spending on the hardware and other IT needs. Also, total ownership is reduced. On the whole, a developer can wholly concentrate on developing the product instead of managing the infrastructure, reducing the time-to-market.

  4. This means that your product/service reaches the market before your contemporaries, helping you make big money i.e., quick ROI. Snowflake provides you with enough capabilities to ensure scalability in your enterprise insights and help you reach your business goals faster. With a trusted technology partner to help you implement Snowflake, you would be able to extract great value at your pace and for your particular business. Narwal Inc. is a customer-centric company that firmly believes that leveraging the right technology and digitization is the only way forward. Their services include cloud, data & analytics, and automation.

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