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It is difficult to manage data centers with conflicting goals simultaneously.
"But it's becoming unwieldy and extremely difficult to manage data from all the platforms out there, including web, social, mobile, and ad tech.
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For example, some found it difficult to manage the data entry of a pregnant woman who had moved from one ANC centre to another between the two data entry occasions.
"They know how to manage data".
However, the same feature makes it difficult to manage and accumulate data in large scale networks such as IoT [24]. 2.
Due to panel sequence related subsidence data and multiple calculation panel, it is difficult to manage all of these data without 3D-polygon-based datasets, thus in the calculation system, a polygon dataset is used to store all panel datasets as a spatial geometry.
The shortcomings are its gigantic size as well as the associated complexity which makes it difficult to manage and thus makes data generated from it difficult to reproduce.
The reality is that the nature of modern data is complex and becoming increasingly difficult to manage - hence the term "big data". As a result, it's incredibly difficult to manage all of this data, hardware and computing resources in-house.
This makes it increasingly difficult to manage, access and utilize the data to ultimately gain scientific insights based on it.
Functional data are difficult to manage for most classical statistical techniques, given the very high (or intrinsically infinite) dimensionality.
Big Data is referred to the growing digital data that are difficult to manage and analyze using traditional software tools and technologies.
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