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Abstract Towards understanding the big data conceptually, it is necessary to understand data entirely. Understanding of data is not only directly related to the relationship between the sample and the population, but also to determine the form of approach and the process used. This is based on data dimensions that require in-depth consideration to be able to be the useful information in decision making, and become the helpful knowledge in the direction of policy in the Industry 4.0 era. Therefore this paper is built to briefly describe data.
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Stored only when both papers are in the corpus — 11 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.