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Anurag Basani: An Engineer’s Insights On The Key Considerations for Modernizing an On-Premise Data Warehouse
- Organizations need to consider strategic decisions for cost, security, data governance and selecting the right cloud provider to modernize on-premise data warehouses with cloud computing.
- Businesses relied on on-premise data warehouses that struggle to scale as data needs grow, resulting in limited flexibility, high operational costs, and capacity constraints.
- On the other hand, cloud data warehouses offer elastic resources, the ability to scale on-demand, and pay-as-you-go models. Cloud-based infrastructure transformation is a strategic imperative for data-driven decision-making, says Anurag Basani, Senior Data Engineer at Meta.
- Migrating to the cloud offers the potential for cost savings. However, organizations must consider ongoing expenses such as data storage, compute resources, data transfer fees, and potential costs associated with data integration and governance.
- Shared responsibility models can ensure provider compliance with industry regulations, but organizations must correctly align cloud specialists, IT, and compliance teams, especially with data residency and sovereignty concerns.
- Organizations should consider potential data transfer bottlenecks, system latency, and scalability issues when migrating to the cloud. Running performance tests can help identify potential bottlenecks.
- Each cloud provider offers a range of services tailored to meet specific organization requirements, and businesses need to select the right cloud provider based on service offerings, data residency options, security protocols, and support for long-term growth.
- Assess provider roadmaps and capabilities in advanced technologies such as AI, machine learning, and data analytics to ensure alignment with long-term business strategy.
- Modernizing your data warehouse positions your business to thrive in a data-driven future.
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