A data warehouse Offers great advantages when storing and managing data. At the same time of saving them, It is designed to display trading indicators that are useful for making strategic decisions. But nevertheless, your data processing and storage technology cannot meet today's online BI needs. Since then, When it comes to business intelligence, Big data became very important.
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Designed to meet specific requirements against which, Besides, Still effective, It cannot take care of the exponential increase in information handled by institutions, as well as the broader spectrum currently covering critical business decisions. The result is a work overload in capture, Storage & Analytics, at the same time as the impossibility to leverage the unstructured data that powers online BI.
If the goal is to perform Big data analysis, therefore, Data warehouses should be complemented by technologies that make it feasible and facilitate in the best way, or even be replaced by them, depending on the objective of the project in question.
Cloud computing and the Hadoop platform are two key items for companies to adapt to this digital revolution, thanks to which it is feasible to use data strategically to drive business decisions and, at the same time, Be prepared for the fundamental changes ahead, many of which are already being produced.
Business intelligence in the cloud
The relevance of information in this new environment in constant change not only implies transformations at the technological level. Regardless of technique, The real challenge for institutions is to adapt to the new environment for use this data that makes up online BI strategically in order to achieve survival in a Increasingly competitive environment Y, anyway, Beyond Surviving, A whole world of possibilities to grow in an unprecedented way opens up before them..
Within this transformation procedure, Technological changes do not have to be radical. In reality, if convenient:
- Data warehouses could be integrated into a data management system.
- This would also introduce a versatile Hadoop, able to adapt to traditional environments.
- This adaptation would be achieved, among other options, thanks to SQL solutions designed from tools provided by its increasingly rich ecosystem.
A) And, Even when conventional solutions are not ready for new challenges, can perform BI processes online or work together (Mixed warehouses), both on physical servers and running data in the cloud.
The challenges of online BI analytics
It is up to database professionals to determine when and how Hadoop should be integrated with SQL servers based on the possibilities offered by the technology to meet specific BI needs, as well as the Convenience of online exploitation in order to achieve greater efficiency.
It is feasible to use the resources it provides us the cloud for online BI analyticsfor structured and unstructured data, managed through relational data stores, Hadoop or mixed servers.
In this aspect, both in terms of a data warehouse and NoSQL platforms or hybrid structures, it is feasible Work Online comprehensively or do it physically on your own servers or platforms and then use tools to Making sense of data in the cloud.
The cloud, Leading information technology, provides business intelligence tools that adapt to environments of all types and offer a wide variety of advantageundoubtedly, such as accessibility, Decreasing time and costs, Automatic fault tolerance and ease of use (fewer administrators and developers), but it also involves some difficulties, such as the need for security solutions, bandwidth issues or the necessary integration into hybrid BI systems, to later be able to take advantage of these online tools.
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