Data Warehouse, the first step towards a BI solution

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In this post you will discover why the data warehouse is a first step towards achieving business intelligence, a sector in constant evolution.
Compared to transactional systems, data warehouses represent a substantial qualitative advance when it comes to leveraging information to make better business decisions.

As is well known, a data warehouse makes these possible by centralizing the information collected from the different systems or data sources to which it has access. Its purpose, in this sense, is none other than to facilitate decision-making to provide a successful competitive advantage for the organization and, in short, with the ultimate goal of optimizing its results.



Data Warehouse, BI and cloud computing
The first step in making successful business moj database is information, which therefore refers us to the concept of a data warehouse as a paradigm within which to analyse and make queries based on the available information . The result will be valuable, reliable and accessible information for those users who require it, in an agile and timely manner.

Today's constantly evolving IT environment allows for the combination of technological solutions to work together, creating mixed data warehouses that combine traditional BI systems with the option of cloud computing and low-cost solutions for processing big data.

Since BI is the ultimate goal, designing the ideal architecture to carry out business intelligence processes that convert data into valuable information leads us to understand the data warehouse as a broad and flexible concept. This approach allows us to work:

With the conventional data warehouse.
With NoSQL platforms, creating mixed structures that can be managed from local, cloud or hybrid platforms.

Data Lake: Overcoming the Limitations of Data Warehouse


Data warehouse: constant evolution for more efficient BI
Cloud computing and Big Data technologies , for their part, represent innovative solutions that respond to new needs for:

1.Storage.

Prosecution.
Data analysis.
It is therefore a contribution that multiplies the possibilities offered by the data warehouse and BI through cost savings, opening new doors for the management of big data. Taking advantage of the available technologies does not mean opting only for the newest but rather betting on everything that responds to our requirements, taking advantage of their compatibility to add advantages in the design of a BI solution.