Just what Data Warehouse?
Today’s enterprises count on the effective collection, storage, and integration of internet data from disparate sources for analysis and insights. These data analytics activities have moved to one's heart of revenue generation, cost containment, and profit optimization. As such, it’s no surprise the numbers of data generated and analyzed, as well as the number and types of internet data sources, have exploded.
Data-driven companies require robust solutions for managing and analyzing bulk of internet data across their organizations. These systems must be scalable, reliable, and secure enough for regulated industries, along with flexible enough to compliment a wide variety of data types and rehearse cases. The needs go way after dark capabilities associated with a traditional database. That’s in which the data warehouse comes in.
Cloud data warehouse
A cloud data warehouse solution is managed and hosted by the cloud services provider. This gives the inherent flexibility of the cloud environment along with more predictable costs, that may be according to usage or even a fixed amount.
The up-front investment is usually reduced and lead times are shorter than on-premises solutions since 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.
Features of cloud data warehouses
Companies are increasingly leaving traditional data warehouses for the cloud, leveraging the charge savings and scalability that managed services offers.
Allow me to share the key attributes of data warehousing from 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 can keep the in-house team dedicated to growth initiatives.
Better uptime in comparison with on-premises data warehouses
Cloud providers are obligated to fulfill SLAs and supply better uptime with reliable cloud infrastructure that scales seamlessly. On-premises data warehouses have scale and resource limitations that could impact performance.
Produced for scale
Cloud data warehouses are elastic, for them to seamlessly scale down or up because your business needs change.
Flexible pricing for cost efficiency
With cloud, you will get flexible pricing by paying for you use or choosing a more predictable flat-rate option. Some providers charge by throughput or by the hour per node. Others charge a hard and fast price for the specific amount of resources. In each and every case, you steer clear of the mammoth costs incurred by an on-premises data warehouse that runs 24 hours a day, 1 week every week, no matter whether resources are in use or not.
Real-time analytics
Cloud data warehouses support streaming data, helping you to query data instantly in order to drive fast and informed business decisions.
Machine learning and AI initiatives
Customers can easily unlock and operationalize machine learning use cases so that you can predict business outcomes.
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