Название: Augmented Analytics: Enabling Analytics Transformation for Data-Informed Decisions (Final Release)
Автор: Willi Weber, Tobias Zwingmann
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 292
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 21.3 MB

Augmented Analytics isn't just another book on data and analytics; it's a holistic resource for reimagining the way your entire organization interacts with information to become insight-driven. Moving beyond traditional, limited ways of making sense of data, Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities. With this book, you can infuse your workflows with intelligent automation and modern artificial intelligence, empowering more team members to make better decisions. Be aware: These pages cover more than just adding another forecast to your dashboard. They go deeper, presenting a complete approach to achieving analytical excellence in your organization. When it comes to Artificial Intelligence (AI) and analytics, the explosion is almost tangible. People are starting to dream about dashboards that show the brightest futures and algorithms that change the way we work. The possibilities are endless. The shift to analytics is forcing us to reinvent the way we think, the way we work, and the way we collaborate—with humans and with AI. Everyone wants to know how to take advantage of all these opportunities. How can we outperform our competitors? How can we make the most of what we already have? And how can we prepare for a future that we can’t even imagine now? Of course, tools will help: algorithms, Generative AI, models, transformers, and more.

Название: Global Audit Leadership: A Practical Approach to Leading a Global Internal Audit (GIA) Function in a ­Constantly Changing Internal and ­External Landscape
Автор: Audley L. Bell
Издательство: CRC Press
Серия: Security, Audit and Leadership Series
Год: 2025
Страниц: 315
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Leaders across the globe have a common challenge they cannot ignore: CHANGE. This must be embraced and effectively managed to remain relevant and successful in a dynamic operating environment. Embracing change, including technological innovations, collaboration, and timely sharing of information, is paramount to the survival and success of everyone in an ever-changing environment. In times of rapid change, organizations are often forced to adjust their strategic plans. Stakeholders usually need assistance to effectively manage the risks, unprecedented at times, and to capitalize on the opportunities that usually come with change. Change management must be effectively executed to assist in ensuring the viability of the organization. The traditional approach of leading global internal audit (GIA) is a risk to its existence in a dynamic operating environment. The chief audit executive (CAE) and leaders of GIA must evolve, transform, and adopt the agile methodology for leading. Digitalization is a revolutionary force that is driving organizations, including GIA, to revisit and rethink their strategy. Doing things manually that can be done electronically is a risk to the effectiveness and efficiency of GIA’s operations. The automation and digitalization of GIA’s operations pave the way for doing things electronically. Digitalization, data analytics, Artificial Intelligence (AI), Machine Learning, and robotics are key drivers in improving and enhancing the effectiveness and efficiency of GIA’s operations.

Название: Data Analysis In Microsoft Excel: Guided Project - Healthcare: Master Skills in Data Analysis and Excel: A Healthcare Data Guided Project
Автор: Alex Holloway
Издательство: Independently published
Год: 2024
Язык: английский
Формат: pdf, epub
Размер: 21.6 MB

Transform your data analysis journey from theory to action with this first in a new series of Guided Projects: a hands-on guide that applies your Excel prowess to the real world of healthcare data analytics. After laying the groundwork with 'Data Analysis in Microsoft Excel,' it’s time to elevate your skills from foundational knowledge to practical expertise. This guided project book is your bridge to applying what you've learned in a context that matters—navigating the complex and rewarding landscape of healthcare data. Introducing "Data Analysis in Microsoft Excel: Guided Projects - Healthcare" – your pathway to becoming an indispensable asset in the healthcare industry. This book is not merely a continuation of your learning journey; it's an immersion into guided projects that challenge, refine and enhance your data analysis capabilities within the context of healthcare—a field where data can literally save lives. Embrace the opportunity to harness the power of healthcare data with Excel. Make your mark in a field where analysis meets action and data-driven decisions save lives. Add "Data Analysis in Microsoft Excel: Guided Projects - Healthcare " to your arsenal today and unlock the door to impactful, real-world data analytics.

Название: Linux Advanced for SysAdmin: Become a proficient system administrator to manage networks, database, system health, automation and Kubernetes
Автор: Ryan Juan
Издательство: GitforGits
Год: 2024
Страниц: 335
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

After completing the first book, Linux Basics for I was eager to dive into the next level of Linux system administration. The foundational knowledge provided in that book was essential for setting the stage for more advanced topics. Building upon fundamental Linux skills, this book is designed to elevate your expertise to handle intricate tasks crucial for senior system administrators. To begin with, we will revisit key administrative tasks, providing a solid foundation for the advanced topics to come. This includes managing files, directories, packages, system services, and user permissions to ensure you’re up to speed. We then dive into the critical aspects of network management, wherein we learn to configure network interfaces, manage IP addresses and routing, set up and secure network services like DHCP and DNS, and monitor network performance using tools such as Wireshark. We then move to explore iptables and firewalld, configure firewalls, implement AppArmor, and perform security audits with Lynis. The chapter also covers monitoring system logs for security breaches and using intrusion detection systems like Snort. Then, the chapter on Database Management demonstrates to work with databases in Linux, including installing and configuring PostgreSQL, designing databases, performing migrations, and securing database systems. This chapter equips you with the skills to manage database operations efficiently. The next chapter teaches you to monitor CPU and memory usage, track network performance, and analyze system logs using tools like Nagios and Zabbix. You will also learn to set up alerts and notifications to maintain optimal system performance. Later, we focus on automating routine tasks using shell scripting, cron, anacron, awk, and sed. You will learn to write scripts for system audits, resource management, and backup and recovery. Finally, the book covers large-scale deployments, Kubernetes, cluster management, load balancing, and kernel customization.

Название: ALT Linux изнутри
Автор: Аленичев Д., Боковой А., Бояршинов А. и др.
Издательство: М.: ALT Linux
Год: 2006
Cтраниц: 214
Формат: pdf
Размер: 11 мб
Язык: русский

Из чего состоит дистрибутив Linux? Как он работает и почему? Что умеет, и как этими умениями управлять? Кто они такие, эти таинственные «линуксоиды»? Пингвины? Если писать программы, то про что их писать? И вообще — что на самом деле такое: «Linux», «Дистрибутив», «Сообщество», «Свободные программы» наконец? Обо всём этом и о некотором другом и написано во второй половине нашей книги.

Название: SQL All-in-One For Dummies, 4th Edition
Автор: Allen G. Taylor
Издательство: For Dummies
Год: 2024
Страниц: 803
Язык: английский
Формат: pdf (true), epub (true)
Размер: 22.2 MB, 10.1 MB

The most thorough SQL reference, now updated for SQL:2023. SQL All-in-One For Dummies has everything you need to get started with the SQL programming language, and then to level up your skill with advanced applications. This relational database coding language is one of the most used languages in professional software development. And, as it becomes ever more important to take control of data, there's no end in sight to the need for SQL know-how. You can take your career to the next level with this guide to creating databases, accessing and editing data, protecting data from corruption, and integrating SQL with other languages in a programming environment. Become a SQL guru and turn the page on the next chapter of your coding career. This book isn’t just about SQL; it’s also about how SQL fits into the process of creating and maintaining databases and database applications. In this book, I cover how SQL fits into the larger world of application development and how it handles data coming in from other computers, which may be on the other side of the world or even in interplanetary space. This Dummies All-in-One guide is for all SQL users—from beginners to more experienced programmers. Find the info and the examples you need to reach the next stage in your SQL journey.

Название: Simulation Techniques of Digital Twin in Real-Time Applications: Design Modeling and Implementation
Автор: Abhineet Anand, Anita Sardana, Abhishek Kumar, Srikanta Kumar Mohapatra
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 384
Язык: английский
Формат: epub (true)
Размер: 17.3 MB

The book gives a complete overview of implementing digital twin technology in real-time scenarios while emphasizing how this technology can be embedded with running technologies to solve all other issues. Divided into two parts with Part 1 focusing on simulated techniques in digital twin technology and Part 2 on real-time applications of digital twin technology, the book collects a significant number of important research articles from domain-specific experts. The book sheds light on the various techniques of digital twin technology that are implemented in various application areas. It emphasizes error findings and respective solutions before the actual event happens. Most of the features in the book are on the implementation of strategies in real-time applications. Various real-life experiences are taken to show the proper implementation of simulation technologies. The book shows how engineers of any technology can input their research ideas to convert to real scenarios by using replicas. Hence, the book has a collection of research articles from various engineers with expertise in different technologies from many regions of the world. It shows how to implement the embedded real-time data into technologies. Specifically, the chapters relate to the auto landing and cruising features in aerial vehicles, automated coal mining simulation strategy, the enhancement of workshop equipment, and implementation in power energy management for urban railways. This book also describes the coherent mechanism of digital twin technologies with deep neural networks and Artificial Intelligence. Audience: Researchers, engineers, and students in Computer Science, software engineering and industrial engineering, will find this book to be very useful.

Название: Big Data Analysis and Artificial Intelligence for Medical Sciences
Автор: Bruno Carpentieri, Paola Lecca
Издательство: Wiley
Год: 2024
Страниц: 433
Язык: английский
Формат: pdf (true), epub
Размер: 33.7 MB

Overview of the current state of the art on the use of Artificial Intelligence (AI) in medicine and biology. Big Data Analysis and Artificial Intelligence for Medical Sciences demonstrates the efforts made in the fields of Computational Biology and medical sciences to design and implement robust, accurate, and efficient computer algorithms for modeling the behavior of complex biological systems much faster than using traditional modeling approaches based solely on theory. Several scientific disciplines, such as computer vision and image recognition, self-driving cars, natural language processing, website recommendations, solid-state materials science, finance, bioinformatics, and chemistry, to name a few, have adopted machine learning algorithms in the past decade or so. Thanks to their general applicability to different applications, data-driven models are computationally attractive for use in the medical sciences and the healthcare industry, where they are becoming increasingly popular. Advances in AI research have led to the development of more sophisticated algorithms that function similarly to the human brain and have helped address some of these challenges and opened up new possibilities for AI applications. ML has evolved into a field known as Deep Learning (DL), which consists of techniques for creating and training artificial neural networks (ANNs) with multiple layers of interconnected nodes, also known as neurons, capable of learning and making decisions independently, similar to the human brain. This has produced extraordinary progress in numerous fields, including computer vision, NLP, speech recognition, and medical sciences. A timely and up-to-date resource on the integration of Artificial Intelligence in medicine and biology, Big Data Analysis and Artificial Intelligence for Medical Sciences is of great benefit not only to professional scholars, but also MSc or PhD program students eager to explore advancement in the field.

Название: Антипаттерны SQL. Как избежать ловушек при работе с базами данных
Автор: Билл Карвин
Издательство: Питер
Год: 2024
Формат: pdf
Страниц: 368
Размер: 19,8 Мб
Язык: русский

Язык SQL необходим для работы со структурированными данными. Программисты, прекрасно знающие свой любимый язык (Java, Python или Go), не могут разбираться во всем, и часто не являются экспертами в SQL. Это приводит к появлению антипаттернов, — решений, которые на первый взгляд кажутся правильными, но со временем создают всё больше проблем. Научитесь выявлять и обходить многие из этих распространенных ловушек! Проведите рефакторинг унаследованного кошмара и превратите его в жизнеспособную модель данных! Примеры SQL-кода основаны на версии MySQL 8.0, но в тексте также упоминаются другие популярные РСУБД. В примерах кода используется Python 3.9+ или Ruby 2.7+.

Название: Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI (Final Release)
Автор: Markus Ehrenmueller-Jensen
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 526
Язык: английский
Формат: epub
Размер: 11.9 MB

Data modeling is the single most overlooked feature in Power BI Desktop, yet it's what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher. Author Markus Ehrenmueller-Jensen, founder of Savory Data, shows you the basic concepts of Power BI's semantic model with hands-on examples in DAX, Power Query, and T-SQL. If you're looking to build a data warehouse layer, chapters with T-SQL examples will get you started. You'll begin with simple steps and gradually solve more complex problems. This book is your companion on your journey to gain a comprehensive understanding about the steps needed to make building reports in Power BI Desktop and Power BI Report Builder, and creating measures in DAX, easier. Power BI supports a wide variety of data sources (covering databases from different vendors, like Microsoft, Oracle or Teradata; flat files, like CSV, text, or Excel; web services like an https link to a web page, etc.). The only way to get data into Power BI is through Power Query. It’s best practice to add calculations as (explicit) measures in DAX (as opposed to calculated columns in DAX or as columns in Power Query or in the data source). Creating calculated tables in DAX should be an exception; depending on your skills and preferences, you will implement transformations to shape the data model either in Power Query (in the user interface or by writing code in the M language) or in the data source.