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Building clouds with Windows Azure Pack : bring the benefits of Azure Pack to your cloud service and discover the secrets of enterprise class solutions /
Unleash the power of Python and its robust data science capabilities About This Book Unleash the power of Python 3 objects Learn to use powerful Python libraries for effective data processing and analysis Harness the power of Python to analyze data and create insightful predictive models Unlock deep...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Enterprise,
2016.
|
| Colección: | Professional expertise distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Malik, Amit, |e author. | |
| 245 | 1 | 0 | |a Building clouds with Windows Azure Pack : |b bring the benefits of Azure Pack to your cloud service and discover the secrets of enterprise class solutions / |c Amit Malik. |
| 264 | 1 | |a Birmingham, UK : |b Packt Enterprise, |c 2016. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Professional expertise distilled | |
| 588 | |a Description based on online resource; title from cover page (Safari, viewed February 12, 2016). | ||
| 500 | |a Includes index. | ||
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; Acknowledgement; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Know Windows Azure Pack and Its Architecture; Microsoft Cloud OS vision; What is Windows Azure Pack?; Windows Azure Pack for an organization's private cloud; Windows Azure Pack for cloud service providers; Windows Azure Pack capabilities and offerings; Windows Azure Pack components and functionalities; Windows Azure Pack cloud solution building blocks; Windows Azure Pack cloud IaaS offering solution components | |
| 505 | 8 | |a WebSites cloud solution components (PaaS offering)DBaaS offering solution components (SQL and MySQL); Service bus offering solution components; Custom resource providers; Windows Azure Pack deployment models; Express deployment architecture; Distributed deployment architecture; Minimal production deployment sample architecture; Scaled production deployment sample architecture; Scaling Windows Azure Pack cloud deployment; Integrating Windows Azure Pack and System Center Suite for IaaS services; Summary; Chapter 2: Getting the Cloud Fabric Ready; Cloud fabric infrastructure planning | |
| 505 | 8 | |a Choosing the hardwareSizing the hardware; Choosing hypervisor's deployment options and editions; Windows Server editions; Choosing the right edition for your cloud; Free Microsoft Hyper-V Server 2012 R2; Choosing the system center deployment options and edition; System Center editions; Cloud management infra and tenant workload infrastructure; Core MS infrastructure services planning; Hyper-V deployment best practices; Hyper-V installation best practices; Hyper-V networking best practices; Hyper-V storage deployment best practices; Hyper-V virtual machine deployment best practices | |
| 505 | 8 | |a Hyper-V cluster and mobility deployment best practicesSetting up virtual machines for cloud management fabric; Planning and deploying SQL Server for cloud management DB; Choosing the database server version and deployment model; Installing and configuring SQL Server 2012 SP2; Installation procedure; Post installation tasks; Planning and deploying SCVMM 2012 R2; The VMM architecture and deployment model; VMM deployment models; Installing System Center Virtual Machine Manager 2012 R2; Installation prerequisites; Software prerequisite; Installation procedure; Post-installation tasks | |
| 505 | 8 | |a Highly available SCVMM architecture and deploymentPlanning and configuring hypervisor compute layer with SCVMM; Planning and creating SCVMM host groups; Creating host groups; Adding virtual machine hosts in host groups; Adding Hyper-V host in a host group; Planning and configuring cloud network fabric with SCVMM; Network Virtualization; Configuring networking fabric in SCVMM; Logical networks; MAC address pool; Load balancers; VIP template; Logical switches; Port profiles; Port classifications; Network service; Planning and configuring cloud storage fabric with SCVMM | |
| 520 | |a Unleash the power of Python and its robust data science capabilities About This Book Unleash the power of Python 3 objects Learn to use powerful Python libraries for effective data processing and analysis Harness the power of Python to analyze data and create insightful predictive models Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics Who This Book Is For Entry-level analysts who want to enter in the data science world will find this course very useful to get themselves acquainted with Python's data science capabilities for doing real-world data analysis. What You Will Learn Install and setup Python Implement objects in Python by creating classes and defining methods Get acquainted with NumPy to use it with arrays and array-oriented computing in data analysis Create effective visualizations for presenting your data using Matplotlib Process and analyze data using the time series capabilities of pandas Interact with different kind of database systems, such as file, disk format, Mongo, and Redis Apply data mining concepts to real-world problems Compute on big data, including real-time data from the Internet Explore how to use different machine learning models to ask different questions of your data In Detail The Python: Real-World Data Science course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules and each module are a mini course in their own right, and as you complete each one, you'll have gained key skills and be ready for the material in the next module. The course begins with getting your Python fundamentals nailed down. After getting familiar with Python core concepts, it's time that you dive into the field of data science. In the second module, you'll learn how to perform data analysis using Python in a practical and example-driven way. The third module will teach you how to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis to more complex data types including text, images, and graphs. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. In the final module, we'll discuss the necessary details regarding machine learning concepts, offering intuitive yet informative explanations on how machine learning algorithms work, h... | ||
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| 650 | 7 | |a COMPUTERS / Hardware / General |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Information Technology |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Machine Theory |2 bisacsh | |
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