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Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics - Couverture souple
Synopsis
Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications?
Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use.
This book addresses the following big data characteristics:
- Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible
- Petabytes/Exabytes of data
- Millions/billions of people providing/contributing to the context behind the data
- Flat schema's with few complex interrelationships
- Involves time-stamped events
- Made up of incomplete data
- Includes connections between data elements that must be probabilistically inferred
Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible.
This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this bookintends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Soumendra Mohanty? is a Partner and leads Accenture's Global Information Management Services practice. He is an expert within the Information Management area, focusing primarily on BI architectures, data warehouse, CRM/Customer Insight, MDM, Analytics and PCM solutions.? He is experienced in leading project teams through the lifecycle of a project, and has successfully helped sell and delivered BI and DW projects in multiple industries, including products, CPG, brokerage, banking, telecommunications, and retail.Soumendra has authored several books on data warehousing and Analytics and published numerous journals in DM Review. He has also presented in numerous international forums. His functional expertise ranges from Big Data Analytics, BI Architectures, Data Warehouse, CRM/Customer Insight, Supply Chain Analytics, Marketing Insights, & MDM.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurApress
- Date d'édition2013
- ISBN 10 1430248726
- ISBN 13 9781430248729
- ReliureBroché
- Langueanglais
- Numéro d'édition1
- Nombre de pages320
- Coordonnées du fabricantnon disponible
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Big Data Imperatives : Enterprise Big Data Warehouse, BI Implementations and Analytics
Edité par
Apress, 2013
ISBN 10 : 1430248726
ISBN 13 : 9781430248729
Ancien ou d'occasion
Couverture souple
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 320 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 23281770/2
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Big Data Imperatives: Enterprise Big Data Warehouse, Bi Implementations and Analytics
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Paperback. Etat : Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.04. N° de réf. du vendeur G1430248726I3N10
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Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics (The Expert's Voice)
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Apress (edition 1st ed.), 2013
ISBN 10 : 1430248726
ISBN 13 : 9781430248729
Ancien ou d'occasion
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Vendors and platforms agnostic there by bringing in deep understanding of key areas viz., Big data platforms Architectures Implementation best practices, etc Numerous industry use cases about big data and its implicati. N° de réf. du vendeur 4151518
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters Do you have enough data volume to justify the usage How you want to process this amount of data How long do you really need to keep it active for your analysis, marketing, and BI applications Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use.This book addresses the following big data characteristics: Very large, distributed aggregations of loosely structured data - often incomplete and inaccessible Petabytes/Exabytes of data Millions/billions of people providing/contributing to the context behind the data Flat schema's with few complex interrelationships Involves time-stamped events Made up of incomplete data Includes connections between data elements that must be probabilistically inferred Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability.Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data. 320 pp. Englisch. N° de réf. du vendeur 9781430248729
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Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics (The Expert's Voice)
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Big Data Imperatives
Edité par
Apress, Apress Jun 2013, 2013
ISBN 10 : 1430248726
ISBN 13 : 9781430248729
Neuf
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Taschenbuch. Etat : Neu. Neuware -Big Data Imperatives, focuses on resolving the key questions on everyone¿s mind: Which data matters Do you have enough data volume to justify the usage How you want to process this amount of data How long do you really need to keep it active for your analysis, marketing, and BI applications Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use.This book addresses the following big data characteristics:Very large, distributed aggregations of loosely structured data ¿ often incomplete and inaccessiblePetabytes/Exabytes of dataMillions/billions of people providing/contributing to the context behind the dataFlat schema's with few complex interrelationshipsInvolves time-stamped eventsMade up of incomplete dataIncludes connections between data elements that must be probabilistically inferredBig Data Imperativesexplains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability.Big Data Imperativesdescribes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible.This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this bookintends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 320 pp. Englisch. N° de réf. du vendeur 9781430248729
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters Do you have enough data volume to justify the usage How you want to process this amount of data How long do you really need to keep it active for your analysis, marketing, and BI applications Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use.This book addresses the following big data characteristics: Very large, distributed aggregations of loosely structured data - often incomplete and inaccessible Petabytes/Exabytes of data Millions/billions of people providing/contributing to the context behind the data Flat schema's with few complex interrelationships Involves time-stamped events Made up of incomplete data Includes connections between data elements that must be probabilistically inferred Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability.Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this bookintends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data. N° de réf. du vendeur 9781430248729
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Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics
Edité par
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2013
ISBN 10 : 1430248726
ISBN 13 : 9781430248729
Neuf
Paperback / softback
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