the challenge of managing structured and unstructured data

Big Data is a reality that institutions cannot ignore when it comes to leverage data, one of the main assets of the business. But adopting technologies that meet that need is not a simple matter and, among other challenges, involves the management of structured and unstructured data.

Make the leap to new context created by the digital revolution means tackling the problem of hybrid systems. If Business Intelligence focuses on analyzing the cause of a result based on structured sources of information, Let's say, las tecnologías que aprovechan el big data se centran en la analyticsAnalytics refers to the process of collecting, Measure and analyze data to gain valuable insights that facilitate decision-making. In various fields, like business, Health and sport, Analytics Can Identify Patterns and Trends, Optimize processes and improve results. The use of advanced tools and statistical techniques is essential to transform data into applicable and strategic knowledge.... predictive.

Confirmation versus discovery of the occult, and in both cases Analyzing data of different types is the key to business intelligence. in order to improve both productivity and decision making to be more competitive.

Both systems coexist and must be integrated following an ad hoc design, that facilitates the fulfillment of business expectations. Ideally, from a data-driven approach, sustained by a cultural and technological change in the organization, as well as adequate governance of the data for its analysis and intelligent use.

Big Data: trend analysis

Within this new paradigm, the demand for data scientists continues to rise, as well as the technologies for its storage and automated solutions that allow its access, integration and analysis of different types of data, whose volume is growing exponentially.

Given the traditional databases They were designed to house and work with structured data, are inadequate to handle a massive growth of the same, implementing unstructured form very often. Son, in summary, a tool that cannot respond to the massive heterogeneous data that is included under the term of Big Data.

In this aspect, NoSQL, Hadoop and its rich system have proven to be especially useful solutions for being scalable, Low cost, efficiency and reliability, and the same goes for the resources and services offered in the framework of cloud computing.

The Big Data Analytics Seeks to determine patterns or profiles, find trends and, in summary, process bulk unstructured data from a predictive analytics point of view. But this does not replace classic data analysis. Conversely, in several cases the best solution is to get the best out of both systems.

An advantageous hybrid combination

In reality, systems based on hybrid solutions are very common today, both because it is a transition period and because it is convenient to meet the company's requirements.

In other words, when the strategic objectives of the organization require the unification and integration of structured and unstructured information sources, whether of internal or external origin. And, in summary, among other needs, as an example, we seek to make the most of the processes within the organization, get to know the customer better and make better decisions, in batch or in real time.

When it comes to putting Big Data technologies into practice together with Business Intelligence tools and conventional data warehouses, in summary, access to data becomes a great challenge. Y, with that, also their treatment to transform them into an asset that adds value to the company.

A challenge for whose fulfillment, timely access to reliable information, will be key to the design of a architecture in which the different technologies have a place, while establishing a new focus that transcends technological change, mainly oriented to add value for the organization.

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