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 Cutti…
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 strategy
Maximize the distributed processing power of the Apache Hadoop platform
Discover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop andOracle NoSQL Database
Configure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data Appliance
Integrate your existing data warehousing and analytics infrastructure into a big data architecture
Share data among Hadoop and relational databases using Oracle Big Data Connectors
Understand how Oracle NoSQL Database integrates into the Oracle Big Data architecture
Deliver faster time to value using in-database analytics
Analyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop
Analyze disparate data with Oracle Endeca Information Discovery
Plan and implement a big data governance strategy and develop an architecture and roadmap
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 strategy
Maximize the distributed processing power of the Apache Hadoop platform
Discover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop andOracle NoSQL Database
Configure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data Appliance
Integrate your existing data warehousing and analytics infrastructure into a big data architecture
Share data among Hadoop and relational databases using Oracle Big Data Connectors
Understand how Oracle NoSQL Database integrates into the Oracle Big Data architecture
Deliver faster time to value using in-database analytics
Analyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop
Analyze disparate data with Oracle Endeca Information Discovery
Plan and implement a big data governance strategy and develop an architecture and roadmap
Atsiliepimai
Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
Kainos garantija
Ženkliuku „Kainos garantija” pažymėtoms prekėms Knygos.lt garantuoja geriausią kainą. Jei identiška prekė kitoje internetinėje parduotuvėje kainuoja mažiau - kompensuojame kainų skirtumą. Kainos lyginamos su knygos.lt nurodytų parduotuvių sąrašu prekių kainomis. Knygos.lt įsipareigoja kompensuoti kainų skirtumą pirkėjui, kuris kreipėsi „Kainos garantijos” taisyklėse nurodytomis sąlygomis. Sužinoti daugiau
Elektroninė knyga
22,39 €
DĖMESIO!
Ši knyga pateikiama ACSM formatu. Jis nėra tinkamas įprastoms skaityklėms, kurios palaiko EPUB ar MOBI formato el. knygas.
Svarbu! Nėra galimybės siųstis el. knygų jungiantis iš Jungtinės Karalystės.
Tai knyga, kurią parduoda privatus žmogus. Kai apmokėsite užsakymą, jį per 7 d. išsiųs knygos pardavėjas . Jei to pardavėjas nepadarys laiku, pinigai jums bus grąžinti automatiškai.
Šios knygos būklė nėra įvertinta knygos.lt ekspertų, todėl visa atsakomybė už nurodytą knygos kokybę priklauso pardavėjui.
Perskaityta knyga:
Nenauja knyga, kuri parduodama tiesiai iš knygos.lt sandėlio. Knygos kokybė įvertinta knygos.lt ekspertų.
Tai knyga, kurią parduoda privatus žmogus. Kai apmokėsite užsakymą, jį per 7 d. išsiųs knygos pardavėjas . Jei to pardavėjas nepadarys laiku, pinigai jums bus grąžinti automatiškai.
Šios knygos būklė nėra įvertinta knygos.lt ekspertų, todėl visa atsakomybė už nurodytą knygos kokybę priklauso pardavėjui.
Atsiliepimai