TDWI Checklist Report: Cloud Data Warehousing

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tdwi.org 5 TDWI RESE ARCH T D W I C H E C K L I S T R E P O R T: C LO U D DATA WA R E H O U S I N G S T R A I G H T TA L K DATA WAREHOUSING MOVES TO THE CLOUD 3 • ELASTICITY. Indeed, computing and storage needs do change, and although system growth is easily accommodated, the benefit of only paying for what you use applies in both directions. The concept of elasticity means your organization can maintain on-demand access to scalable, high-performance computing, but as demand declines, you can dial back your use of cloud resources. • HYBRID INTEGRATION. Once you are free from the on-premises environment, your organization is able to integrate across a hybrid environment connecting on-premises, multicloud, software-as-a-service (SaaS), and platform-as-a-service (PaaS). • CLOUD SERVICES. CSPs have been diligent in developing and providing access to many value-added cloud-native services that simplify maintenance, management, and, especially, development. • ARTIFICIAL INTELLIGENCE/MACHINE LEARNING. CSPs provide easy access to AI/ML services that are simple to blend with the cloud data warehouse. • DATA SECURITY. Cloud service providers are extremely attentive to customer concerns about data privacy, protection of sensitive data, and data security and are very diligent in strengthening their data security services. The traditional data warehouse architecture is easily segregated. Extracted source data is easily shunted to data staging areas facilitating the integration and loading pipelines. Until now, our discussion presumed that the various components of the data warehouse architecture are generally managed within an on-premises platform environment within the organization's data center. However, on-premises data warehouse platforms are reaching the limits of scalability without drastically increasing costs for hardware, software, and typical environment resources (e.g., space, power, cooling). As the capital acquisition costs and on-premises maintenance and management costs rise, organizations are considering migrating data warehouse environments to the cloud. Conventional monolithic or appliance-based on-premises data warehousing is somewhat stodgy and rigid when compared to the increased flexibility of cloud-based implementations. Consider these factors when contemplating migrating to the cloud: • CLOUD ECONOMICS. With the cloud, your organization transitions from capital acquisition of platforms to "renting" the required computational resources from the cloud service provider. This switch from capital expenses to operational expenses is economically desirable, especially when you only pay for what you use. • LIMITLESS RESOURCES. Cloud service providers (CSPs) can deliver virtually unlimited storage and computing resources. As your organization's computing and storage needs change, it is easy to expand the cloud resource footprint.

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