What is a Data Warehouse?

Today’s enterprises depend upon the effective collection, storage, and integration of data from disparate sources for analysis and insights. These data analytics activities have moved to the guts of revenue generation, cost containment, and profit optimization. As such, it’s hardly surprising how the numbers of data generated and analyzed, along with the number and kinds of internet data sources, have exploded.

Data-driven companies require robust solutions for managing and analyzing bulk of data across their organizations. These systems should be scalable, reliable, and secure enough for regulated industries, as well as flexible enough to compliment numerous data types and employ cases. The requirements go way past the capabilities of the traditional database. That’s in which the data warehouse also comes in.

Cloud data warehouse

A cloud data warehouse solution is managed and hosted by the cloud services provider. This provides the inherent flexibility of the cloud environment in addition to more predictable costs, that may be depending on usage or possibly a fixed amount.

The up-front investment is normally much lower and lead times are shorter than on-premises solutions since you don’t ought to buy hardware, thereby reducing CapEx. It’s also possible to achieve operational efficiencies from the serverless / NoOps nature of cloud data warehouses.

Features of cloud data warehouses

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

Listed below are the primary attributes of data warehousing inside the cloud.

Fully managed for operational savings

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

Better uptime when compared with on-premises data warehouses

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

Designed for scale

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

Flexible pricing for cost efficiency

With cloud, you gain flexible pricing if you are paying for which you have or deciding on a more predictable flat-rate option. Some providers charge by throughput or each hour per node. Others charge a fixed price for a certain quantity of resources. In most case, you steer clear of the mammoth costs suffered by an on-premises data warehouse that runs Round the clock, 1 week weekly, regardless of whether resources come in use or not.

Real-time analytics

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

Machine learning and AI initiatives

Customers can easily unlock and operationalize machine learning use cases to be able to predict business outcomes.

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