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PowerCenter Knowledge下载
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2019-09-09 07:00:18
PowerCenter Knowledge
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//download.csdn.net/download/py3/7941533?utm_source=bbsseo
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PowerCenter Knowledge下载
PowerCenter Knowledge 相关下载链接://download.csdn.net/download/py3/7941533?utm_source=bbsseo
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Power
Center
Kn
owl
edge
Power
Center
Kn
owl
edge
PC_101_GettingStarted_en.pdf
Power
Center
Getting Started is written for the developers and software engineers who are responsible for implementing a data warehouse. It provides a tutorial to help first-time users learn how to use
Power
Center
.
Power
Center
Getting Started assumes you have
kn
owl
edge
of your operating systems, relational database concepts, and the database engines, flat files, or mainframe systems in your environment. The guide also assumes you are familiar with the interface requirements for your supporting applications.
Microsoft.System.
Center
.Reporting.Cookbook.1782171800
Over 40 practical recipes to help you plan, create, and manage reports efficiently for all components of Microsoft System
Center
About This Book Create and deliver high value reports to show the value of your System
Center
investment Gain access to real world solutions in the art and science of report planning and creation using System
Center
data Practical cookbook with recipes that will help you get the most out of Microsoft System
Center
through the creation of business valued reports Who This Book Is For This book is for IT professionals who are responsible for producing report using the data from System
Center
components. Basic
kn
owl
edge
of Microsoft System
Center
technologies is assumed. In Detail Microsoft System
Center
2012 is an integrated management platform that helps you to easily and efficiently manage your data
center
s, client devices, and hybrid cloud IT environments. This hands-on cookbook will guide you through how to create ready-to-use reports for all the components of System
Center
. The book starts by showing you how to plan business valued reports, while also discussing the building blocks of your reporting framework. Moving on from the basics, the later recipes demonstrate how you can create System
Center
Configuration Manager reports using the report builder tool and System
Center
Operations and Virtual Machine Manager reports with data available from the Operations Manager databases. The book will then teach you how to build on and enhance the reports previously created by delving into advanced reporting techniques such as creating database reports, based on combined data sources. Finally, you will use
Power
BI to analyze and visualize System
Center
data, while also looking into the seamless integration between cloud services and System
Center
. Table of Contents Chapter 1. Understanding the Goals of Reporting Chapter 2. Planning System
Center
Report Design Chapter 3. Unpacking System
Center
Report Building Tools Chapter 4. Creating Reports for System
Center
Configuration Manager Chapter 5. Creating Reports for SCOM and SCVMM Chapter 6. Creating Reports for System
Center
Data Protection Manager Chapter 7. Creating Reports for System
Center
Service Manager and Orchestrator Chapter 8. Creating System
Center
Advanced Reports Chapter 9. Using
Power
BI to Analyze and Visualize System
Center
Data
Dell
Power
Edge
服务器工具
下载
集合
DSET工具是在操作系统中收集硬件的信息,借助于此工具,可以快速判断和分析机器的硬件工作情况 官方
下载
工具:http://www.dell.com/support/contents/cn/zh/cnbsd1/article/Product-Support/Self-support-
Kn
owl
edge
base/enterprise-resource-
center
/Enterprise-Tools/dell-system-e-support-tool?c=cn&l=zh&s=bsd&cs=cnbsdt1 DSET工具使用教程://www.jb51.net/softjc/451701.html D
Reinforcement Learning with TensorFlow-Packt Publishing(2018)
Reinforcement learning (RL) allows you to develop smart, quick, and self-learning systems in your business surroundings. It is an effective method to train your learning agents and solve a variety of problems in artificial intelligence—from games, self- driving cars, and robots to enterprise applications that range from data
center
energy saving (cooling data
center
s) to smart warehousing solutions. The book covers the major advancements and successes achieved in deep reinforcement learning by synergizing deep neural network architectures with reinforcement learning. The book also introduces readers to the concept of Reinforcement Learning, its advantages and why it's gaining so much popularity. It discusses MDPs, Monte Carlo tree searches, policy and value iteration, temporal difference learning such as Q-learning, and SARSA. You will use TensorFlow and OpenAI Gym to build simple neural network models that learn from their own actions. You will also see how reinforcement learning algorithms play a role in games, image processing, and NLP. By the end of this book, you will have a firm understanding of what reinforcement learning is and how to put your
kn
owl
edge
to practical use by leveraging the
power
of TensorFlow and OpenAI Gym.
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