Cloud: How to define a good cloud data strategy?

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A good cloud data strategy is key for your business. Learn how to define an efficient and secure migration.
We know that valuable information is generated all the time for our business and that having it in the cloud is the best way to streamline costs and comprehensive data management.

But how can you implement a cloud data strategy safely and efficiently?


An intelligent and automated approach to Data Warehouses and Data Lakes in the cloud can eliminate the inefficiencies of manual coding and be effective. In previous notes we defined the Cloud, what it is and how it works , today we will focus on pointing out the key aspects to define an implementation strategy .





59 % of the companies surveyed are adopting the homeowner database cloud model, which allows for more flexible and efficient information management, which translates, according to Forrester, into a 46% Return on Investment , in addition to an 80% reduction in the time that the IT department spends on maintaining its systems.

Source: Forrester Research



Cloud Data Strategy: What is Cloud Data Warehouse and How Does it Work?
Companies face the challenge of investing in IT infrastructure, and at this point, the cloud is a competitive alternative because it allows for gradual growth in the amount of space according to need. But it is not enough to choose a flexible system or a simple interface that is easy to implement; it is also a priority to evaluate other aspects such as:


Governed and secure access to all data: A correct cloud data strategy must allow for the migration and integration of information to replicate it exactly in the cloud data warehouse . In addition, organizations need to implement the same rules, policies and processes in each of the storage silos to know how it is accessed and define mechanisms that sanction improper procedures. The objective will be to safeguard information and ensure security in all its aspects.

Modernizing Data Warehouse and Analytics: An internal study by Microsoft IT showed that the number of problem reports (incidents) and the time to resolve them increases with the age of the application and system software. Therefore, moving to the cloud is also an opportunity to reconsider the entire IT ecosystem of the company. It is advisable to take advantage of this transition to detect the need to update or remove certain applications; reprogramming, maintenance or retirement. This is the time to do it. Modernization saves time and money.

Scalability: While in local data management scalability involved adding additional hardware (servers) to increase the performance of the data center and ensure its operation, in the cloud scalability is synonymous with configuring options that enable the possibility of scaling horizontally or vertically. In this way, they allow data peaks to be covered in a reliable and resilient manner.