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Just what is a Data Warehouse?

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

Data-driven companies require robust solutions for managing and analyzing large volumes of internet data across their organizations. Scalping strategies should be scalable, reliable, and secure enough for regulated industries, in addition to flexible enough to support a multitude of data types and rehearse cases. The needs go way beyond the capabilities associated with a traditional database. That’s the place that the data warehouse comes in.

Cloud data warehouse

A cloud data warehouse option is managed and hosted with a cloud services provider. This gives the actual inherent flexibility of the cloud environment together with more predictable costs, which may be depending on usage or even a fixed amount.

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

Features of cloud data warehouses

Information mill increasingly leaving traditional data warehouses towards the cloud, leveraging the price savings and scalability that managed services can offer.

Here are the principal attributes of data warehousing in the cloud.

Fully managed for operational savings

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

Better uptime compared to on-premises data warehouses

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

Designed for scale

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

Flexible pricing for cost efficiency

With cloud, you receive flexible pricing if you are paying for what you have or choosing a more predictable flat-rate option. Some providers charge by throughput or hourly per node. Others charge a fixed price for any certain 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 weekly, regardless of whether resources will be in use or not.

Real-time analytics

Cloud data warehouses support streaming data, enabling you to query data immediately to be able to drive fast and informed business decisions.

Machine learning and AI initiatives

Customers can easily unlock and operationalize machine learning use cases as a way to predict business outcomes.

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