Cloud Data Design, Orchestration, and Management Using Microsoft Azure Master and Design a Solution Leveraging the Azure Data Platform /
Use Microsoft Azure to optimally design your data solutions and save time and money. Scenarios are presented covering analysis, design, integration, monitoring, and derivatives. This book is about data and provides you with a wide range of possibilities to implement a data solution on Azure, from hy...
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| Hlavní autor: | |
|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Berkeley, CA :
Apress,
2018.
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| Vydání: | 1st ed. 2018. |
| Témata: | |
| ISBN: | 9781484236154 |
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| 008 | 180628s2018 xxu| s |||| 0|eng d | ||
| 020 | |a 9781484236154 | ||
| 024 | 7 | |a 10.1007/978-1-4842-3615-4 |2 doi | |
| 035 | |a CVTIDW07689 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Diaz, Francesco. |4 aut | |
| 245 | 1 | 0 | |a Cloud Data Design, Orchestration, and Management Using Microsoft Azure |h [electronic resource] : |b Master and Design a Solution Leveraging the Azure Data Platform / |c by Francesco Diaz, Roberto Freato. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Berkeley, CA : |b Apress, |c 2018. | |
| 300 | |a XVIII, 438 p. 302 illus. |b online resource. | ||
| 500 | |a Professional and Applied Computing | ||
| 505 | 0 | |a 1 Working with Azure Database Services Platform -- 2 Working with SQL Server on Hybrid Cloud and Azure IaaS -- 3 Working with NoSQL Alternatives -- 4 Orchestrate Data with Azure Data Factory -- 5 Working with Azure Data Lake Store and Azure Data Lake Analytics -- 6 Working with In-Transit Data and Analytics. | |
| 516 | |a text file PDF | ||
| 520 | |a Use Microsoft Azure to optimally design your data solutions and save time and money. Scenarios are presented covering analysis, design, integration, monitoring, and derivatives. This book is about data and provides you with a wide range of possibilities to implement a data solution on Azure, from hybrid cloud to PaaS services. Migration from existing solutions is presented in detail. Alternatives and their scope are discussed. Five of six chapters explore PaaS, while one focuses on SQL Server features for cloud and relates to hybrid cloud and IaaS functionalities. What You'll Learn: Know the Azure services useful to implement a data solution Match the products/services used to your specific needs Fit relational databases efficiently into data design Understand how to work with any type of data using Azure Hybrid and Public cloud features Use non-relational alternatives to solve even complex requirements Orchestrate data movement using Azure services Approach analysis and manipulation according to the data life cycle. | ||
| 650 | 0 | |a Microsoft software. | |
| 650 | 0 | |a Microsoft .NET Framework. | |
| 650 | 0 | |a Open source software. | |
| 650 | 0 | |a Computer programming. | |
| 650 | 0 | |a Artificial intelligence. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-1-4842-3615-4 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE04969 | ||
| 919 | |a 978-1-4842-3615-4 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 273957 |d 273957 | ||