Helen Sun – författare
911 kr
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Transform Big Data into Insight
"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache Hadoop
Cowritten by members of Oracle's big data team, Oracle Big Data Handbook provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings. Best practices formigrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included inthis Oracle Press guide.
Understand the value of a comprehensive big data strategyMaximize the distributed processing power of the Apache Hadoop platformDiscover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop andOracle NoSQL DatabaseConfigure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data ApplianceIntegrate your existing data warehousing and analytics infrastructure into a big data architectureShare data among Hadoop and relational databases using Oracle Big Data ConnectorsUnderstand how Oracle NoSQL Database integrates into the Oracle Big Data architectureDeliver faster time to value using in-database analyticsAnalyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for HadoopAnalyze disparate data with Oracle Endeca Information DiscoveryPlan and implement a big data governance strategy and develop an architecture and roadmap
1 007 kr
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Transform Big Data into Insight
"In this book, some of Oracle''s best engineers and architects explain how you can make use of big data. They''ll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache Hadoop
Cowritten by members of Oracle''s big data team, Oracle Big Data Handbook provides complete coverage of Oracle''s comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle''s open source R offerings. Best practices for migrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included in this Oracle Press guide.
Understand the value of a comprehensive big data strategyMaximize the distributed processing power of the Apache Hadoop platformDiscover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop and Oracle NoSQL DatabaseConfigure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data ApplianceIntegrate your existing data warehousing and analytics infrastructure into a big data architectureShare data among Hadoop and relational databases using Oracle Big Data ConnectorsUnderstand how Oracle NoSQL Database integrates into the Oracle Big Data architectureDeliver faster time to value using in-database analyticsAnalyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for HadoopAnalyze disparate data with Oracle Endeca Information DiscoveryPlan and implement a big data governance strategy and develop an architecture and roadmap
619 kr
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Oracle Endeca Information Discovery Best Practices
Maximize the powerful capabilities of this self-service enterprise data discovery platform. Master Competitive Analytics with Oracle Endeca Information Discovery reveals how to unlock insights from any type of data,regardless of structure. The first part of the book is a complete technical guide to the product's architecture, components, and implementation. The second part presents a comprehensive collection of business analytics use cases in various industries, including financial services, healthcare, research, manufacturing, retail, consumer packaged goods, and public sector. Step-by-step instructions on implementing some of these use cases areincluded in this Oracle Press book.
Install and manage Oracle Endeca ServerDesign Oracle Endeca Information Discovery Studio visualizations to facilitate user-driven data exploration and discoveryEnable enterprise-driven data exploration with Oracle Endeca Information Discovery IntegratorDevelop and implement a fraud detection and analysis applicationBuild a healthcare correlation application that integrates claims, patient, and operations analysis;partners; clinical research; and remote monitoringUse an enterprise architecture approach to incrementally establish big data and analytical capabilities
715 kr
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Oracle Endeca Information Discovery Best Practices
Maximize the powerful capabilities of this self-service enterprise data discovery platform. Master Competitive Analytics with Oracle Endeca Information Discovery reveals how to unlock insights from any type of data, regardless of structure. The first part of the book is a complete technical guide to the product''s architecture, components, and implementation. The second part presents a comprehensive collection of business analytics use cases in various industries, including financial services, healthcare, research, manufacturing, retail, consumer packaged goods, and public sector. Step-by-step instructions on implementing some of these use cases are included in this Oracle Press book.
Install and manage Oracle Endeca ServerDesign Oracle Endeca Information Discovery Studio visualizations to facilitate user-driven data exploration and discoveryEnable enterprise-driven data exploration with Oracle Endeca Information Discovery IntegratorDevelop and implement a fraud detection and analysis applicationBuild a healthcare correlation application that integrates claims, patient, and operations analysis; partners; clinical research; and remote monitoringUse an enterprise architecture approach to incrementally establish big data and analytical capabilities
701 kr
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473 kr
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In this age of data economy, data analytics is recognized as a key differentiator for companies trying to gain a sustainable competitive advantage and outperform their peers. However, the complexity of establishing an analytical architecture due to a wide array of disparate technical capabilities offered by a plethora of vendors makes the deployment of an on-premise solution a daunting task. For this reason, the Salesforce Analytics Cloud has captured the imagination from of both IT and business communities.
The Salesforce Analytics Cloud represents the rethinking of analytics for the business user. The Analytics Cloud is a cloud-based platform designed for the business user to have access to analytics "on the go," providing answers to questions instantly on any device. This mobile-ready capability of the Salesforce Analytics Cloud means users can immediately collaborate and share insights with team members right inside Salesforce. Pro Salesforce Analytics Cloud
A practical guide to Salesforce Analytics Cloud, including Wave Platform, Builder, and Explorer.Detailed business analytics use cases in various industries (e.g., retail, healthcare, financial services, and telecommunications).Architecture and best practices for integration, security, hybrid cloud coexistence, and governance.Pro Sal
esforce Analytics Cloud is the first comprehensive book on Salesforce Analytics and provides a holistic architecture view of different analytical capabilities and how they fit into the overall information architecture. It features real-world industry use cases and demonstrates how Salesforce’s Analytics Cloud solves business challenges and brings real value to the organization.
392 kr
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