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SUSE Linux Enterprise Server 12 - System Analysis and Tuning Guide
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Linux Observability with BPF : Advanced Programming for Performance Analysis and Networking
Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers.You’ll not only dive into the BPF program lifecycle but also learn to write applications that observe and modify the kernel’s behavior; inject code to monitor, trace, and securely observe events in the kernel; and more. Authors David Calavera and Lorenzo Fontana help you harness the power of BPF to make any computing system more observable.Familiarize yourself with the essential concepts you’ll use on a day-to-day basis and augment your knowledge about performance optimization, networking, and security.Then see how it all comes together with code examples in C, Go, and Python. Write applications that use BPF to observe and modify the Linux kernel’s behavior on demandInject code to monitor, trace, and observe events in the kernel in a secure way—no need to recompile the kernel or reboot the systemExplore code examples in C, Go, and PythonGain a more thorough understanding of the BPF program lifecycle
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Microsoft SQL Server 2019 Analysis Services (SSAS)
Course Description Analysis Services is a combination of two analytical engines (VertiPaq for multidimensional cubes and Data Mining and xVelocity for Tabular Data Models) used in decision support and business analytics. It provides enterprise-grade semantic data model capabilities for business intelligence (BI), data analysis, and reporting applications such as Power BI, Excel, Reporting Services, and other data visualization tools. This course provides a full introduction to the use of both of these engines in an enterprise environment. You will learn about creating cubes and their constituent components, the use of MDX to query the cubes, as well as how to customize a cube with KPI, actions, perspectives, and language translations. You will also learn about the differences and similarities between cubes and tabular data models, how to create a tabular data model, and the use of DAX to query the model.The third major component of the course is a form of Machine Learning called Data Mining. Data Mining is the analysis of large data set to reveal hidden patterns and trends. This course will teach you how to create a Data Mining solution, how to compare and validate different data mining options (models) for a given data set, and how to use your chosen model in a consumer-friendly client.Key Learning Topics In This Course You will learn about creating cubes and their constituent components The use of MDX to query the cubes How to customize a cube with KPI, actions, perspectives, and language translations. Differences and similarities between cubes and tabular data models, How to create a tabular data model The use of DAX to query the model. Course Video Content: 8 Hours 56 MinutesTest Questions: 75 Course Content Module 1 - Introduction to Business Intelligence and Data Modeling1.1 Course Introduction1.2 Module 1 Introduction1.3 Introduction to Business Intelligence1.4 The Microsoft Business Intelligence Platform1.5 Exploring a Data Warehouse1.6 Exploring a Data ModelModule 2 - Multidimensional Databases2.1 Module 2 Introduction2.2 Introduction to Multidimensional Analysis2.3 Overview of Cube Security2.4 Creating and Configuring a Cube2.5 Data Sources2.6 Data Source Views2.7 Adding a Dimension to a CubeModule 3 - Cubes and Dimensions3.1 Module 3 Introduction3.2 Dimensions3.3 Attribute Hierarchies and Relationships3.4 Sorting and Grouping Attributes3.5 Slowly Changing DimensionsModule 4 - Measures and Measure Groups4.1 Module 4 Introduction4.2 Measures4.3 Measure Groups and Relationships4.4 Measure Group StorageModule 5 - Introduction to MDX5.1 Module 5 Introduction5.2 MDX Fundamentals5.3 Adding Calculations to a Cube5.4 Querying a cube using MDXModule 6 - Customizing Cube Functionality6.1 Module 6 Introduction6.2 Key Performance Indicators6.3 Actions6.4 Perspectives6.5 TranslationsModule 7 - Tabular Data Models7.1 Module 7 Introduction7.2 Introduction to Tabular Data Models7.3 Creating a Tabular Data Model7.4 Configure Relationships and Attributes7.5 Configuring Data Model for an Enterprise BI SolutionModule 8 - Data Analysis Expressions (DAX)8.1 Module 8 Introduction8.2 DAX Fundamentals8.3 Calculated Columns8.4 Relationships8.5 Measures8.6 Time Intelligence8.7 KPI8.8 Parent - Child HierarchiesModule 9 - Data Mining9.1 Module 9 Introduction9.2 Overview of Data Mining9.3 Custom Data Mining Solutions9.4 Validating a Data Mining Model9.5 Consuming a Data Mining Model9.6 Course Wrap Up LEARN365 Courses Include 12 Months Unlimited Online Access to: Expert Instructor-Led Training: Learn 365 uses only the industry's finest instructors in the IT industry. They have a minimum of 15 years real-world experience and are subject matter experts in their fields. Unlike a live class, you can fast-forward, repeat or rewind all your lectures. This creates a personal learning experience and gives you all the benefit of hands-on training with the flexibility of doing it around your schedule 24/7. Visual Demonstrations andamp; Multimedia Presentations: Our courseware includes instructor-led demonstrations and visual presentations that allow students to develop their skills based on real world scenarios explained by the instructor. Learn 365 always focuses on real world scenarios and skill-set development. Quizzes andamp; Exam Simulators: Learn 365's custom practice exams prepare you for your exams differently and more effectively than the traditional exam preps on the market. You will have practice quizzes after each module to ensure you are confident on the topic you have completed before proceeding. This will allow you to gauge your effectiveness before moving to the next module in your course. Learn 365 courses also include practice exams designed to replicate and mirror the environment in the testing center. These exams are on average 100 questions to ensure you are 100% prepared before taking your certification exam. Need to train your Team? Contact Us for Discounts on Multiple Subscription Purchases.
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Practical Binary Analysis : Build Your Own Linux Tools for Binary Instrumentation, Analysis, and Disassembly
Practical Binary Analysis is the first book of its kind to present advanced binary analysis topics in an accessible way.After an introduction on the basics of binary formats, disassembly, and code injection, you'll dive into more complex topics such as binary instrumentation, dynamic taint analysis, and symbolic execution.By the end of the book, you'll be able to build your own binary analysis tools on Linux by following hands-on and practical examples.
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Which distro do you use, Linux users?
As an AI, I do not have personal preferences or the ability to use operating systems. However, Linux users often choose their distribution based on their specific needs and preferences. Some popular distributions include Ubuntu for its user-friendly interface, Fedora for its focus on the latest technologies, and Debian for its stability and reliability. Ultimately, the choice of distribution depends on the user's requirements and level of expertise.
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Is source analysis the same as text analysis?
Source analysis and text analysis are related but not the same. Source analysis involves examining the origin, context, and credibility of a source, while text analysis focuses on interpreting and understanding the content of a text itself. Source analysis helps determine the reliability and bias of a source, while text analysis delves into the meaning, structure, and language used in a text. Both are important in research and critical thinking, but they serve different purposes in analyzing information.
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Is dialog analysis the same as scene analysis?
Dialog analysis and scene analysis are not the same, although they are related. Dialog analysis focuses specifically on the spoken interactions between characters, examining the content, tone, and subtext of the conversations. On the other hand, scene analysis encompasses a broader view of the entire scene, including the setting, actions, and non-verbal communication in addition to the dialog. While dialog analysis is a part of scene analysis, scene analysis includes a more comprehensive examination of all elements within a particular scene.
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What is the analysis of the semen analysis?
The analysis of a semen analysis typically includes evaluating the volume of semen, sperm count, sperm motility, and sperm morphology. The volume of semen provides information about the amount of fluid produced by the male reproductive system. Sperm count measures the number of sperm present in the semen, while sperm motility assesses the movement and speed of the sperm. Sperm morphology examines the shape and structure of the sperm, looking for abnormalities that may affect fertility. Overall, the analysis provides important information about a man's fertility potential and can help identify any potential issues with sperm quality or quantity.
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C++ Programming : From Problem Analysis to Program Design
Learn how to program with C++ using today’s definitive choice for your first programming language experience -- C++ PROGRAMMING: FROM PROBLEM ANALYSIS TO PROGRAM DESIGN, 8E.D.S. Malik’s time-tested, student-centered methodology incorporates a strong focus on problem-solving with full-code examples that vividly demonstrate the hows and whys of applying programming concepts and utilizing C++ to work through a problem.Thoroughly updated end-of-chapter exercises, more than 20 extensive new programming exercises, and numerous new examples drawn from Dr. Malik’s experience further strengthen your understanding of problem solving and program design in this new edition.You review the important features of C++ 14 Standard with timely discussions that ensure this edition equips you to succeed in your CS1 course and beyond.
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Tabular Modeling in Microsoft SQL Server Analysis Services
With SQL Server Analysis Services 2016, Microsoft has dramatically upgraded its Tabular approach to business intelligence data modeling, making Tabular the easiest and best solution for most new projects.In this book, two world-renowned experts in Microsoft data modeling and analysis cover all you need to know to create complete BI solutions with these powerful new tools. Marco Russo and Alberto Ferrari walk you step-by-step through creating powerful data models, and then illuminate advanced features such as optimization, deployment, and scalability. Tabular Modeling in Microsoft SQL Server Analysis Services will be indispensable for everyone moving to Analysis Services Tabular, regardless of their previous experience with tabular-style models or with Microsoft's older Analysis Services offerings.It will also be an essential follow-up for every reader of the authors' highly-praised Microsoft SQL Server 2012 Analysis Services: The BISM Tabular Model.
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Community Nursing Services in England : An Historical Policy Analysis
This open access book provides an historical account of the ways in which community nursing services in England have been shaped by policy changes, from the inception of the NHS in 1948 to the present day.Focusing on policies regarding the organisation and provision of community nursing services, it offers an important assessment of how community nursing has evolved under successive governments.The book also provides reflections on how historic policies have influenced the service of today, and how lessons learnt from the past can inform organisation and delivery of current and future community nursing services.It is an important resource for those researching community nursing and health services, as well as practitioners and policy makers.
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Inside Mathforum.org : Analysis of an Internet-Based Education Community
The internet has dramatically transformed social space and time for many people in many different contexts.This dramatic warping of the social fabric has happened slowly over time as digital technologies have evolved and internet speeds have increased.While we are all aware of these changes, the impact is often little understood.There are few monographs about social groups made possible by the internet, and even fewer about educational communities made possible through digital technologies.Inside Mathforum.org details the ways that digital media are used to enhance the practices that teachers and students of mathematics engage in.The book also shows how different kinds of mathematical conversations and interactions become possible through the digital media.Unlike many other educational uses of digital media, the Math Forum's community has provided online resources and sustained support for teachers and students, and it leads the way in showing the power of digital media for education.
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What is the difference between a textual analysis, a scene analysis, and a narrative analysis?
A textual analysis focuses on the language and structure of a written text, examining the use of literary devices, themes, and symbolism. A scene analysis, on the other hand, zooms in on a specific segment of a film or play, analyzing the visual and auditory elements, character interactions, and the overall impact of the scene on the narrative. Narrative analysis, meanwhile, looks at the broader story structure, character development, and the way the plot unfolds over the course of the entire text. Each type of analysis offers a unique perspective on the text and allows for a deeper understanding of its meaning and impact.
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What is the difference between Analysis and Higher Analysis?
Analysis is the branch of mathematics that deals with limits, continuity, derivatives, integrals, and infinite series. It is a fundamental area of mathematics that is essential for understanding calculus and other advanced mathematical concepts. Higher Analysis, on the other hand, refers to more advanced topics within the field of analysis, such as functional analysis, complex analysis, and harmonic analysis. These areas delve deeper into the study of functions, spaces, and structures, and often involve more abstract and complex mathematical techniques.
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Is source analysis the same as factual text analysis?
Source analysis and factual text analysis are related but not the same. Source analysis involves evaluating the credibility, bias, and perspective of the source of information, while factual text analysis focuses on examining the content of the text for accuracy and reliability of the information presented. Source analysis helps determine the trustworthiness of the information, while factual text analysis assesses the content itself. Both are important in critically evaluating information, but they involve different aspects of analysis.
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What is the difference between Analysis and Advanced Analysis?
Analysis typically involves examining data or information to understand its components, structure, and meaning. Advanced Analysis, on the other hand, involves a more in-depth and complex examination of data using sophisticated techniques and tools. It often requires a higher level of expertise and specialized knowledge to uncover deeper insights, patterns, and trends that may not be easily visible through traditional analysis methods. Advanced Analysis may also involve predictive modeling, machine learning, or other advanced statistical techniques to extract valuable insights from data.
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