Nowadays, the architecture of Data Warehousing is changing at a rapid pace. Several organizations are relying on efficient data warehousing techniques for substantial business insights. Empowered with the latest components and technologies which smoothens the strategic usage of data by processing the raw data into valuable information and make it available for the end-user in the right time to take the right decision associated with the business.
Today’s advanced technology offers cloud-based data warehouse solutions for organizations. As the organizations becoming more data-driven for gaining effective insights to achieve substantial success, the industry experts only emphasize on a single solution, i.e. a cloud-based data warehouse. Despite the fact that most of the organizations resisted embracing a cloud-based data warehousing due to security reasons; currently, several organizations are integrating it into their businesses for key benefits such as affordable storage cost, quick deployment, scalability, and enhanced security. However, one question arises – does a cloud-based data warehouse suits the specifications of each and every organization’s analytics strategy?
As compared to the on-premise database, the cloud-based data warehouse offers excellent scalability at an economical price where the organizations need not set up more computer systems, networks, server rooms, etc., and scale up the capability easily and instantly. With regards to functionality, cloud-based data warehouse provides an entirely different approach for loading, querying as well as moving of the data and enable the users to access and control remotely without actual construction of any physical infrastructure.
The following are the most common reasons why organizations migrating towards the cloud-based data warehousing:
With respect to Big Data, the cloud-based data warehouse acts as an efficient stand-alone platform which explores the rich data of an organization via interaction and collaboration. Also, this platform offers advanced computing tools that are essential for data scientists to handle workloads with complex nature. Furthermore, this platform enables organizations to build their brand-new applications on a cloud as against migrating the entire existing data warehouse onto the cloud. It acts as a testing ground to perform the PoCs (Proof of Concept) which assists the organizations to tackle the issues related to the commencement of a process/project, the involvement of various departments, functional areas that need to be addressed, and estimation of Return on Investment.
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The smooth installation, as well as administration of both software and hardware associated with the cloud-based warehouse in the business, is another key reason for the upsurge in the cloud vendor’s market. This growth significantly reflects the willingness of organizations to adopt cloud-computing services as today the IT departments of several organizations do not need to wait for the approval of procurement and legal departments before opting a cloud-based data warehousing. The prominent cloud-vendors in the market, namely, Google Cloud, AWS Marketplace, and Microsoft Azure, offers strong cybersecurity controls, easy expandability of capacity, enhanced flexibility, reduction in operational costs, redundant backups at multiple locations, and much more.
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The most crucial advantage of opting the cloud-based data warehouse is the amount of scalability and flexibility offered by it. The small-scale organizations, as well as small businesses, take advantage of it by adding more number of servers online and optimizing their configurations. In addition, the organizations are empowered to expand the capacity to deal with peak workloads with the help of built-in scripts and shift capacity. One can easily leverage the potential of a cloud-based data warehouse and get benefited with an efficient budget-friendly cloud computing platform.
The architecture is well-built to suit the requirements of analytics workloads that can be carried out on vast databases. For the organizations which deal with an enormous amount of data with complex nature on a regular basis, the cloud-based data warehouse is the perfect solution. As per several industry experts, a cloud-based data warehouse can be employed to bring the structured data together from on-premise data warehouses as well as external data sources.
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At the time, the digital transformation is at its initial stage, the cloud-based data warehouse enables the organizations to capitalize the unstructured data without any kind of interference. Due to this, most of the organizations are embracing the cloud platform for the use cases associated with streaming, batch processing, and machine learning. The most remarkable use case is gathering of usable data from various automated systems to gain in-depth insights and evaluate the different customer touchpoints over the multi-channel such as social platforms, in-person interactions, and marketing analytics. As there are many user touchpoints exist across the marketing channel, the data that gets generated is of huge volume and this enormous data can be effectively investigated within a cloud-based data warehouse.
An immense amount of data, often increases the rise of security-related issues as they are most critical for the organizations. In this context, the ideal data warehouse solution must possess robust security tools to protect the data with well-guarded encryptions. In addition, cloud-based platform offers both server-side and client-side encryption sets that empower organizations to a great extent by providing excellent control over the data.
The effective storage and protection of the enormous amount of data that is generated by internal as well as external sources is always a critical issue for any kind of business, whether be it large-scale or small-scale for its Business Intelligence ecosystem. Therefore, the adoption of a cloud-based data warehouse that suits your organization’s requirements, can enable it to scale up effortlessly and might provide much better business insight.