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    Glossary

    What do you mean by a Cloud Data Warehouse?

    Data warehouses are the backbone of a structured analytics system. This allows businesses to make better-informed decisions through a central repository of information. Whether it's developing new products, detecting fraud, determining optimal pricing, or improving customer loyalty, companies require relevant insights across their entire organization.

    It can be set up more quickly than in months using a cloud data warehouse, and it can be scaled up or down as needed. Legacy on-premises data warehouses need to migrate to the cloud in order to continue to deliver value and fit into a modern analytics ecosystem.

    Integration and management of data are crucial aspects of cloud data warehousing. It is necessary to create an enterprise-wide data management solution to discover relevant data across your organization, migrate that data to your cloud data warehouse, and keep the cloud data warehouse updated with reliable, fresh data.

    Any integration and data management solution must support data coming from outside the company, regardless of its data type (structured, semi-structured, or unstructured), user, data source, or integration pattern.

    Why should you move your data warehouse to the cloud?

    Cloud data warehouses enable businesses to launch new analytics initiatives more quickly. You can adjust capacity quickly based on changes in data volume and concurrent users, allowing you to adapt to changing workloads quickly. Additionally, scalability results in faster processing speeds, giving organizations the flexibility to respond to changing business demands by spinning up resources for new analytics projects.

    By generating deeper insights about your customers, PxM enhances customer experience, builds loyalty, and drives sales. By generating deeper insights about your customers, PxM enhances customer experience, builds loyalty, and drives sales.

    • Multi-cloud, on-premises, and cloud environments.

    • Latencies and types of data.

    • All users of data.

    • Governance, data quality, and data protection.

    • Data management from start to finish.

    • Machine learning (ML) and artificial intelligence (AI).

    What are the benefits of cloud data warehousing?

    Businesses can focus on running their business instead of servers and achieve better insights thanks to better access, scalability, and performance when using cloud-based data warehouses.

  • Access to Data: By putting their data in the cloud, companies can enable their analysts to access real-time data from numerous sources, allowing them to run better analytics.

  • Scalability: Data warehouses can be scaled much faster and for less cost in the cloud than on-premises systems. Additionally, scaling can occur automatically as needed, eliminating the need to purchase new hardware.

  • Performance: Compared to traditional on-premises data warehouses, a cloud data warehouse offers much faster query performance and lower cost.

  • READ MORE: Best 4 Cloud Data Warehouse Solutions In 2022