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Titlebook: Understanding Azure Data Factory; Operationalizing Big Sudhir Rawat,Abhishek Narain Book 2019 Sudhir Rawat and Abhishek Narain 2019 Azure D

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樓主: 人工合成
21#
發(fā)表于 2025-3-25 06:34:13 | 只看該作者
22#
發(fā)表于 2025-3-25 10:43:43 | 只看該作者
Sudhir Rawat,Abhishek Narainy material: .Power Generation from Solid Fuels. introduces the different technologies to produce heat and power from solid fossil (hard coal, brown coal) and renewable (biomass, waste) fuels, such as combustion and gasification, steam power plants and combined cycles etc. The book discusses technolo
23#
發(fā)表于 2025-3-25 15:44:18 | 只看該作者
24#
發(fā)表于 2025-3-25 17:49:17 | 只看該作者
Sudhir Rawat,Abhishek Naraincal institutions, more specifically, to the analysisof the European Union and, as it seems, the election of the Presidentof the United States is getting more and more popular. There are,however, also new theoretical instruments and perspectives thatsupport these applications: First of all, the proba
25#
發(fā)表于 2025-3-25 22:39:57 | 只看該作者
Sudhir Rawat,Abhishek Narain data and . are networks obtained from a new genome-wide technique that allows an identification of all of the DNA binding sites for each transcription factor (TF). While addressing the same underlying questions, these networks reflect different properties of gene regulation and provide different in
26#
發(fā)表于 2025-3-26 01:50:50 | 只看該作者
27#
發(fā)表于 2025-3-26 04:30:22 | 只看該作者
28#
發(fā)表于 2025-3-26 09:31:49 | 只看該作者
29#
發(fā)表于 2025-3-26 16:34:16 | 只看該作者
30#
發(fā)表于 2025-3-26 19:47:16 | 只看該作者
Sudhir Rawat,Abhishek Narainusing it for estimation of another instance of this component leads only to a small increase of the estimation errors of at most 5 percent points. The run time overhead of the method compared to the system level simulation without power estimation is only a small factor in case of automatic tracing.
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