Enterprise Data Design Patterns; Douglas Moore, Jeffrey Breen; 2016

Enterprise Data Design Patterns Upplaga 1

av Douglas Moore, Jeffrey Breen
Today's databases can handle velocity, variety, and volume well beyond the traditional data warehouse, but the problems and architectures to handle them are not yet well-established. Drawing on years of experience in a wide variety of industries, Douglas Moore and Jeffrey Breen identify common big data patterns and guide users through solving tough problems that are well defined in the more traditional data warehouse space. This book is an essential resource as you plan for the entire data lifecycle, from data ingest, processing and enhancement, to publication, avoiding pitfalls and dead-ends and future-proofing your data storage and analysis. With an eye on the big picture of data analysis and the end goal of access and actionable intelligence, Moore and Breen cover all types of data-across the spectrum from batch to realtime, and the varieties of structured and unstructured data sources-in both general terms and the problems and potential pitfalls specific to each type
Today's databases can handle velocity, variety, and volume well beyond the traditional data warehouse, but the problems and architectures to handle them are not yet well-established. Drawing on years of experience in a wide variety of industries, Douglas Moore and Jeffrey Breen identify common big data patterns and guide users through solving tough problems that are well defined in the more traditional data warehouse space. This book is an essential resource as you plan for the entire data lifecycle, from data ingest, processing and enhancement, to publication, avoiding pitfalls and dead-ends and future-proofing your data storage and analysis. With an eye on the big picture of data analysis and the end goal of access and actionable intelligence, Moore and Breen cover all types of data-across the spectrum from batch to realtime, and the varieties of structured and unstructured data sources-in both general terms and the problems and potential pitfalls specific to each type
Upplaga: 1a upplagan
Utgiven: 2016
ISBN: 9781491923757
Förlag: O'Reilly Media
Format: Häftad
Språk: Engelska
Sidor: 150 st
Today's databases can handle velocity, variety, and volume well beyond the traditional data warehouse, but the problems and architectures to handle them are not yet well-established. Drawing on years of experience in a wide variety of industries, Douglas Moore and Jeffrey Breen identify common big data patterns and guide users through solving tough problems that are well defined in the more traditional data warehouse space. This book is an essential resource as you plan for the entire data lifecycle, from data ingest, processing and enhancement, to publication, avoiding pitfalls and dead-ends and future-proofing your data storage and analysis. With an eye on the big picture of data analysis and the end goal of access and actionable intelligence, Moore and Breen cover all types of data-across the spectrum from batch to realtime, and the varieties of structured and unstructured data sources-in both general terms and the problems and potential pitfalls specific to each type
Today's databases can handle velocity, variety, and volume well beyond the traditional data warehouse, but the problems and architectures to handle them are not yet well-established. Drawing on years of experience in a wide variety of industries, Douglas Moore and Jeffrey Breen identify common big data patterns and guide users through solving tough problems that are well defined in the more traditional data warehouse space. This book is an essential resource as you plan for the entire data lifecycle, from data ingest, processing and enhancement, to publication, avoiding pitfalls and dead-ends and future-proofing your data storage and analysis. With an eye on the big picture of data analysis and the end goal of access and actionable intelligence, Moore and Breen cover all types of data-across the spectrum from batch to realtime, and the varieties of structured and unstructured data sources-in both general terms and the problems and potential pitfalls specific to each type
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Om Enterprise Data Design Patterns (2016)

I maj 2016 släpptes boken Enterprise Data Design Patterns skriven av Douglas Moore, Jeffrey Breen. Det är den 1a upplagan av kursboken. Den är skriven på engelska och består av 150 sidor djupgående information om data. Förlaget bakom boken är O'Reilly Media.

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KurslitteraturITIT allmäntEnterprise Data Design Patterns
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