Post by khatunejannat on Feb 15, 2024 6:25:00 GMT -5
We are facing a new paradigm of information management. And the challenge posed by analytical data interaction techniques, the processing and articulation of multi-structured data, and the great problem of “noise” in the data, are three determining issues that will be put to the test, no matter what. , the effectiveness of this 'Big Data' concept.
Classic concepts Malawi Email List such as storage in data warehouses and business intelligence applications must share their space with 'social data and machine log data' arising from new sources of 'big data' (characterized by their volatility). At this moment there really is a need for a new conception in the articulation of data to make a different use than that which had been done until now. For this reason, 'big data' makes the traditional approach to integrating data unproductive, since it requires that a rigid and inflexible scheme be applied to the data as it becomes part of an analysis environment, highlighting that today Flexibility prevails in everything.
In relation to interactive analytics, in light of these new challenges, we clearly see that the technological approach must also change . Let's keep in mind that interactions, between people and things, people and people, or things and things, describe networks or graphs that need dynamic shapes to relate effectively. The technical solutions adopted to try to 'save' current data processing systems may only be patches that will require a new, more advanced interpretation.
Although in industrial applications the serious problem of data with noise (large volumes of information with useless or unusable data) is not such a serious problem , due to the considerably lower volume of information required, and the almost total usefulness of the data. that circulates through its network, t
Classic concepts Malawi Email List such as storage in data warehouses and business intelligence applications must share their space with 'social data and machine log data' arising from new sources of 'big data' (characterized by their volatility). At this moment there really is a need for a new conception in the articulation of data to make a different use than that which had been done until now. For this reason, 'big data' makes the traditional approach to integrating data unproductive, since it requires that a rigid and inflexible scheme be applied to the data as it becomes part of an analysis environment, highlighting that today Flexibility prevails in everything.
In relation to interactive analytics, in light of these new challenges, we clearly see that the technological approach must also change . Let's keep in mind that interactions, between people and things, people and people, or things and things, describe networks or graphs that need dynamic shapes to relate effectively. The technical solutions adopted to try to 'save' current data processing systems may only be patches that will require a new, more advanced interpretation.
Although in industrial applications the serious problem of data with noise (large volumes of information with useless or unusable data) is not such a serious problem , due to the considerably lower volume of information required, and the almost total usefulness of the data. that circulates through its network, t