What is a Data Warehouse?
Today’s enterprises depend on the effective collection, storage, and integration of knowledge from disparate sources for analysis and insights. These data analytics activities have progressed to the guts of revenue generation, cost containment, and profit optimization. Consequently, it’s no surprise the quantities 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 large volumes of information across their organizations. Scalping systems must be scalable, reliable, and secure enough for regulated industries, in addition to flexible enough to support a multitude of data types and use cases. Certain requirements go way at night capabilities of the traditional database. That’s the place that the data warehouse is available in.
Cloud data warehouse
A cloud data warehouse solution is managed and hosted by the cloud services provider. This provides the actual inherent flexibility of a cloud environment together with more predictable costs, which can be based on usage or possibly a fixed amount.
The up-front investment is normally reduced and lead times are shorter than on-premises solutions simply because you don’t have to buy hardware, thereby reducing CapEx. You can even achieve operational efficiencies in the serverless / NoOps nature of cloud data warehouses.
Benefits of cloud data warehouses
Companies are increasingly leaving traditional data warehouses to the cloud, leveraging the charge savings and scalability that managed services offers.
Here are the principal attributes of data warehousing within the cloud.
Fully managed for operational savings
A cloud data warehouse lets you outsource the management hassle to cloud providers who must meet service level agreements. This gives operational savings which enable it to maintain your in-house team devoted to growth initiatives.
Better uptime compared to on-premises data warehouses
Cloud providers are obligated in order to meet 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, so they can seamlessly scale down or up as your small business change.
Flexible pricing for cost efficiency
With cloud, you get flexible pricing if you are paying for you use or selecting a more predictable flat-rate option. Some providers charge by throughput or per hour per node. Others charge a limited price for any specific amount of resources. In most case, you prevent the mammoth costs suffered by an on-premises data warehouse that runs 24 hours a day, seven days a week, whether or not resources come in use or not.
Real-time analytics
Cloud data warehouses support streaming data, helping you to query data in real time 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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