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    Just what is a Data Warehouse?

    Today’s enterprises rely on the effective collection, storage, and integration of information from disparate sources for analysis and insights. These data analytics activities have progressed to the heart of revenue generation, cost containment, and profit optimization. As a result, it’s hardly surprising the levels of data generated and analyzed, plus the number and kinds of knowledge sources, have exploded.

    Data-driven companies require robust solutions for managing and analyzing vast amounts of information across their organizations. Methods should be scalable, reliable, and secure enough for regulated industries, and also flexible enough to guide lots of data types and employ cases. Certain requirements go way beyond the capabilities of any traditional database. That’s where the data warehouse is available in.

    Cloud data warehouse

    A cloud data warehouse option would be managed and hosted by the cloud services provider. Thus giving the actual inherent flexibility of your cloud environment in addition to more predictable costs, which may be based on usage or possibly a fixed amount.

    The up-front investment is typically lower and lead times are shorter than on-premises solutions since you don’t have to buy hardware, thereby reducing CapEx. You can also achieve operational efficiencies in the serverless / NoOps nature of cloud data warehouses.

    Attributes of cloud data warehouses

    Organizations are increasingly getting off traditional data warehouses towards the cloud, leveraging the charge savings and scalability that managed services provides.

    Here are the principal features of data warehousing inside the cloud.

    Fully managed for operational savings

    A cloud data warehouse enables you to outsource the management hassle to cloud providers who must meet service level agreements. This allows operational savings and will maintain in-house team dedicated to growth initiatives.

    Better uptime when compared with on-premises data warehouses

    Cloud providers are obligated to satisfy SLAs and still provide better uptime with reliable cloud infrastructure that scales seamlessly. On-premises data warehouses have scale and resource limitations that may impact performance.

    Developed for scale

    Cloud data warehouses are elastic, to enable them to seamlessly scale up or down as your company needs change.

    Flexible pricing for cost efficiency

    With cloud, you gain flexible pricing if you are paying for you utilize or selecting a more predictable flat-rate option. Some providers charge by throughput or hourly per node. Others charge a hard and fast price to get a specific amount of resources. In most case, you avoid the mammoth costs incurred by an on-premises data warehouse that runs Around the clock, 1 week a week, regardless of whether resources have been in use or otherwise.

    Real-time analytics

    Cloud data warehouses support streaming data, enabling you to query data instantly in order to drive fast and informed business decisions.

    Machine learning and AI initiatives

    Customers can rapidly unlock and operationalize machine learning use cases so that you can predict business outcomes.

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