Preserve Quality Medical Data toward Meaningful Data Lake by Cluster
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The book presents a detailed overview of the most important characteristics of Big Data, such as Velocity, Volume, Value,Veracity and Variety(5Vs). It also clarifies how high-quality,meaningful data from the Data Lake. The book is mainly concerned with the usage of Big Data in the Healthcare sector. The data set used consisted of raw,semi-structured medical data in its original format. The data, when it is in the "Schema-on-Read" state, needs to pass numerous processing stages in order to be prepared with the aim of linking the data together and finding the relationships among its contents to ...
The book presents a detailed overview of the most important characteristics of Big Data, such as Velocity, Volume, Value,Veracity and Variety(5Vs). It also clarifies how high-quality,meaningful data from the Data Lake. The book is mainly concerned with the usage of Big Data in the Healthcare sector. The data set used consisted of raw,semi-structured medical data in its original format. The data, when it is in the "Schema-on-Read" state, needs to pass numerous processing stages in order to be prepared with the aim of linking the data together and finding the relationships among its contents to become consistent with the components of the Data Lake. In addition, Machine Learning techniques are applied with categorical (mixed data),unorganized and complex data containing texts,letters,symbols and numbers.The book explains the workflow of each stage in detail using a smooth,easy to understand way.
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