A data warehouse provides great advantages when storing and managing data. In addition to storing it, it is designed to show business indicators that are useful in strategic decision making. However, its data storage and processing technology cannot respond to the current needs of online BI. Because, when it comes to business intelligence, big data has become very important. This is Business Online – The current challenges of data warehouses.
Designed to satisfy specific requirements against which, on the other hand, it continues to be effective, it is unable to assume the exponential increase in information that organizations are handling, as well as the greater spectrum currently covered by critical business decisions. The result is an overload of work in capture, storage and analysis, in addition to the impossibility of taking advantage of the unstructured data that feeds the online BI.
If the objective is to perform Big Data analysis, therefore, data warehouses will have to be complemented with technologies that make it possible and facilitate in the best way, or even replaced by them, depending on the objective of the project in question.
Cloud computing and the Hadoop platform are two key elements in enabling companies to adapt to this digital revolution, thanks to which it is possible to use data strategically to improve business decisions and, in turn, be prepared to face the fundamental changes that are coming, many of which are already taking place.
Cloud Business Intelligence
The importance of information in this new and constantly changing environment does not only imply transformations at the technological level. Regardless of the technique, the real challenge of organizations is to adapt to the new environment to use this data that makes up the BI online strategically in order to achieve survival in an increasingly competitive environment and, of course, beyond survival, before them opens a whole world of possibilities to grow in a unique way.
Within this transformation process, technological changes do not have to be radical. In fact, if it were convenient:
Data warehouses could be integrated into a data management system.
This would also introduce a versatile Hadoop, capable of adapting to traditional environments.
That adaptation would be achieved, among other options, thanks to SQL solutions designed from tools provided by its increasingly rich ecosystem.
Thus, although conventional solutions are not prepared for the new challenges, they can carry out BI processes online or work together (mixed warehouses), both on physical servers and running the data in the cloud.
The Challenges of Online BI Analysis
It is the database professionals who will determine when and how Hadoop should be integrated with the SQL servers based on the technology’s ability to meet specific BI needs, as well as the appropriateness of its operation in line with the goal of achieving greater efficiency.
Cloud resources can be used for online BI analysis for both structured and unstructured data, managed through relational data warehouses, Hadoop servers, or mixed servers.
In this sense, both in terms of a data warehouse and NoSQL platforms or hybrid structures, you can work online in a comprehensive way or do it physically on servers or proprietary platforms and then use tools to make sense of the data in the cloud.
The cloud, a leading information technology, provides business intelligence tools that adapt to environments of all kinds and offer a number of advantages, without doubt, such as accessibility, time and cost reduction, automatic fault tolerance and ease of use (fewer administrators and programmers), but it also involves some difficulties, such as the need for security solutions, bandwidth issues or the necessary integration into hybrid BI systems, so that you can then take advantage of these online tools.