Data have a lot of features. On the one hand,
Growth Hacking, Decision Making; on the other hand, data
can find lots of scene. How to find data value, this is target
of data analysis. Big data has become indispensable issue
for a large of research areas such as machine learning,
data mining, artificial intelligence, information fusion,
deep learning. The processing of big data research mainly
contained four aspects, data collection, data cleaning, data
analysis, make business decision. In order to make the data
commercial value, it is necessary to apply the results of the
data analysis. In this paper, we mainly introduce the big
data technology and data analysis. There will be a
comprehensive understanding of Big Data and lay a
foundation for further study.
The aim of this paper is to reduce shrinkage
defects in sand casting. For this problem design of L
–section has been used to analysis the influence of the
design of casting of aluminum alloys. Input parameters are
predicted on the basis of design for manufacturing (DFM).
The experiment is optimizing by design for manufacturing
method can efficiently optimize an optimal combination of
the input parameters.