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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault

W.H. Inmon, Dan Linstedt




[PDF.hb67] Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault

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 | #186494 in Books |  2014-12-10 |  2014-11-26 | Original language:English | PDF # 1 |  9.23 x.86 x7.48l,1.68 | File type: PDF | 378 pages

||0 of 0 people found the following review helpful.| An excellent book. Shows perspectives of data architecture for different ...|By Juan|An excellent book.
Shows perspectives of data architecture for different manner to work with data. Differences between an original definition of term for repetitive and non-repetitive data. Best practices for Data Vault!|0 of 0 people found the following review helpful.|About the Author|Dan has more than 25 years of experience in the Data Warehousing and Business Intelligence field and is internationally known for inventing the Data Vault 1.0 model and the Data Vault 2.0 System of Business Intelligence. He helps business and go

Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most reference...

You easily download any file type for your gadget.Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault   |  W.H. Inmon, Dan Linstedt. Just read it with an open mind because none of us really know.

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