narwalinc.com-How modern Cloud Data Warehousing helps you scale enterprise insights using Snowflake

1. How modern Cloud Data Warehousing helps you scale enterprise insights (using Snowflake) narwalinc.com/blog/how-modern-cloud-data-warehousing-helps-you-scale-enterprise-insights-using-snowflake December 14, 2022 With the evolution of data in the digital world, the need for data storage and processing power to yield meaningful business results also increases extensively. While there are many cloud data warehouses, Snowflake has been recognized as a leader in Gartner Magic Quadrant for data management solutions and analytics. With the amount of time the world spends on the internet, it is not surprising that over 2.5 quintillion bytes of data are generated every day. Organizations understand the importance of data in making futuristic decisions but there’s no point to it if it takes you days, if not months, to analyze all that data and make a data-driven decision. Now, this is where ‘Cloud Data Warehousing’ comes into the picture. Let’s understand cloud data warehousing a little better and how organizations can benefit from it. Cloud Data Warehousing- Make the Most Out of Your Data: Cloud data warehousing is the core aspect of business intelligence. It is a repository to store all your data which enables you to make data-driven decisions. Data flows into the data warehouse through many disparate sources, providing organizations with an 1/6

2. opportunity to collate and analyze data in a single place. In a fast-paced working environment, it is extremely important that your organization not just stays in the race but stays ahead. Cloud data warehousing services help you rely on accurate analytics, reports, and other important information to make critical business decisions. Typically, data scientists, business analysts, and other decision-makers have access to the cloud data warehouse to analyze data at any given time. Why Cloud Data Warehouse? For staying ahead of the competition, you need to understand that time is a precious commodity and how you yield it defines the future of your organization and thereby your success. Using an on-premises data warehouse to manage your data, analyze it, and finally help you make a decision can take up a significant portion of your time and resources. Simple queries can take up to 5 minutes while the complex ones might take up to 30 minutes. Moreover, it varies geographically as well. Waiting for long periods can be quite costly for an organization and frustrating to a decision-maker. As mentioned earlier, time is everything and for you to stay competitive, migrating to a cloud data warehouse can prove worthwhile. Snowflake Cloud Data Warehouse: Snowflake works purely on SaaS and is built on leading public clouds AWS, GCP, and Azure. It only works on a public cloud with full flexibility and high scalability. Snowflake is not built on big data or other software platforms such as Hadoop, it uses an SQL database engine 2/6

3. 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 releases resources as workload decreases and you only pay for what you use per second It provides easy data sharing with other organizations or within an organization with just a 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 work 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. 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 services. 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. 3/6

4. 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 does not require any data redistribution 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 worrying 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 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 server. 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 on 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 free rein to use the fully managed services. This removes the need for maintaining or managing 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: 4/6

5. The following benefits of serverless computing 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, and workloads are used to measure the storage usages. The provider manages to scale on demand, economically benefiting the developer and the organization. Shifting to serverless architecture helps organizations to reallocate resources, eliminating spending on 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. 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. Modern data warehouse solutions like Snowflake can eliminate low-level data warehouse infrastructure tasks, which saves time and reduce overall system complexity and cost. Data platforms like Snowflake enhance data management and performance. Businesses can gain self-service data access and improved collaboration across the enterprise. 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. 5/6

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