Название: Azure Arc Systems Management: Governance and Administration of Multi-cloud and Hybrid IT Estates
Автор: Ramona Maxwell
Издательство: Apress
Год: 2024
Страниц: 298
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book is for enterprise and solution architects, systems integrators, and anyone managing enterprise-scale, multi-cloud or hybrid IT landscapes. The book examines usage of Azure Arc for governance and systems management with security as an overarching theme. It is not an implementation manual but provides high-level guidance on best practices and links to detailed guidance. It offers insight into the types of problems that Azure Arc can solve, and will help you determine whether it is the right choice for your organization. Azure Arc is designed to provide a consolidated view of assets such as databases and Kubernetes installations across major cloud providers, edge locations, and customer-owned datacenters. It facilitates deployment of new infrastructure, patching and upgrades, monitoring, policy, and security controls for assets living on-premises or in competitor clouds as if they were native to Azure. While competitive products exist, at this writing none have the flexibility and reach of Arc to effectively manage very large hybrid estates. PostgreSQL, like other technologies covered in this book, owes its existence to Berkeley being a provenience of new computing technologies fostering solutions to some of the biggest data problems in enterprise computing while adhering to an open source model that let the best minds of the IT community test and enhance things like PostgreSQL and Spark. For enterprise and solution architects, systems integrators, and anyone else looking to solve enterprise-scale administration problems across a multi-cloud or hybrid architecture.

Название: Big Data and Analytics: The key concepts and practical applications of Big Data analytics
Автор: Jugnesh Kumar, Anubhav Kumar, Rinku Kumar
Издательство: BPB Publications
Год: 2024
Страниц: 467
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unveiling insights, unleashing potential: Navigating the depths of Big Data and analytics for a data-driven tomorrow. Big Data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications. It will help you understand the different analysis types like descriptive, predictive, and prescriptive. Learn about NoSQL databases and their benefits over SQL. The book centers on Hadoop, explaining its features, versions, and main components like HDFS (storage) and MapReduce (processing). Explore MapReduce and YARN for efficient data processing. Gain insights into MongoDB and Hive, popular tools in the Big Data landscape. Introduction to Hadoop - Hadoop's key characteristics, including distributed processing and storage, fault tolerance, and scalability, have made it the perfect solution for managing large and varied datasets. Hadoop has emerged as a top option for many data-driven applications due to benefits like affordability, compatibility with commodity hardware, and the capacity to process unstructured data. Its strong ecosystem, which includes different Hadoop distributions and Apache Pig for data processing, further strengthens its capabilities.

Название: PostgreSQL 15 Cookbook: Efficient data management with 100+ recipes
Автор: Mohammad Samsad Hussain
Издательство: BPB Publications
Год: 2024
Страниц: 480
Язык: английский
Формат: epub
Размер: 10.1 MB

Level up database administration with PostgreSQL 15 recipes for mastery. PostgreSQL 15 is a powerful, open-source database system known for its reliability, flexibility, and advanced features. It stores and manages data efficiently, making it ideal for everything from personal projects to large-scale applications. Get started with installation, configuration, and user management. Learn the basics of tables, views, and functions. Deploy your database securely on AWS, migrate seamlessly from other systems, and explore replication for high availability. Write efficient SQL queries, optimize performance, and safeguard your information with backups and recovery techniques. Control user access, implement robust security measures, and monitor your database health for proactive troubleshooting. Solve common errors and optimize performance, Practical tips and real-world scenarios provide a hands-on learning experience, making it easy to apply new knowledge. By the end of this book, you will have the confidence and skills to manage data like a pro, tackle challenges with ease, and unleash the full potential of PostgreSQL 15.

Название: Advanced Data Analytics with AWS: Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Автор: Joseph Conley
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 354
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Master the Fundamentals of Data Analytics at Scale. Embark on a transformative journey into the realm of data analytics with AWS with this practical and incisive handbook. Begin your exploration with an insightful introduction to the fundamentals of data analytics, setting the stage for your AWS adventure. The book then covers collecting data efficiently and effectively on AWS, laying the groundwork for insightful analysis. It will dive deep into processing data, uncovering invaluable techniques to harness the full potential of your datasets. The book will equip you with advanced data analysis skills, unlocking the ability to discern complex patterns and insights. It covers additional use cases for data analysis on AWS, from predictive modeling to sentiment analysis, expanding your analytical horizons. AWS Glue is a fully managed ETL service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores. One of the keys to Glue’s processing power is a data processing framework called Apache Spark. Spark is a powerful tool designed to handle Big Data - think of it as a supercharged engine for processing vast amounts of information quickly and efficiently. This book is ideal for aspiring data engineers, analysts, and data scientists seeking to deepen their understanding and practical skills in data engineering, data transformation, visualization, and advanced analytics. It is also beneficial for professionals and students looking to leverage AWS services for their data-related tasks.

Название: Simulation with Arena, 7th Edition
Автор: W. David Kelton, Nancy B. Zupick, Nathan J. Ivey
Издательство: McGraw Hill
Год: 2024
Страниц: 689
Язык: английский
Формат: pdf (true)
Размер: 21.5 MB

Simulation with Arena provides a comprehensive treatment of simulation using industry-standard Arena software. The textbook begins by having the reader develop simple high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the importance of mathematical modeling of these activities. An informal, tutorial writing style is used to aid the beginner in fully understanding the ideas and topics presented. The new edition now reflects Arena version 16.2, which contains many new and useful features. Arena simulation software is a tool to remove the guesswork from decision making and improve processes, efficiencies, work teams, and profitability. It uses 2D and 3D modeling and real world data to simulate various process scenarios and optimize system performance. It uses the SIMAN processor and simulation language. We assume neither prior knowledge of simulation nor computer-programming experience. We do assume basic familiarity with computing in general (files, folders, basic editing operations, etc.), but nothing advanced. A fundamental understanding of probability and statistics is needed. We also assume knowledge of basic derivative and integral calculus. Arena combines the ease of use found in high-level simulators with the flexibility of simulation languages and even all the way down to general-purpose procedural languages like the Microsoft Visual Basic programming system or C if you really want. It does this by providing alternative and interchangeable templates of graphical simulation-modeling and analysis modules that you can combine to build a fairly wide variety of simulation models. For specialized needs, like complex decision algorithms or accessing data from an external application, you can write pieces of your model in a procedural language like Visual Basic or C/C++.

Название: Oracle Cloud Infrastructure (OCI) GoldenGate: Real-world Examples
Автор: Y V Ravi Kumar, Raghavendra S, Ankur Goel
Издательство: Apress
Год: 2024
Страниц: 243
Язык: английский
Формат: pdf, epub
Размер: 13.3 MB

This book focuses on the utilization of GoldenGate Services (GGS) in conjunction with a microservices architecture on the Oracle cloud (OCI), primarily for data migration and integration across various data sources and targets. The book begins with a practical example of utilizing GGS on a Marketplace VM, progressively advancing to in-depth discussions on implementing GoldenGate as a Service on OCI. The book offers illustrative guides for data replication between RDBMSs (such as Oracle, Postgres, and big data targets such as Kafka). Additionally, it explores monitoring techniques using Enterprise Manager and Grafana dashboards. A comparative analysis is presented between traditional VM-based GoldenGate installations and the OCI service model. Special attention is given to Zero Downtime Migration (ZDM) and leveraging GGS for database migration from on-premises to OCI. Some chapters address multi-cloud replication using OCI GGS and include real-life case studies. By the end of this book you will have gained comprehensive insights into the architectural design of GoldenGate Services and will be adept at replicating data using GGS, enabling you to replicate setups in your own environments. Oracle GoldenGate (OGG) is a software solution for real-time data integration and replication. It allows organizations to capture, transform, and move transactional data from one database to another, across different platforms and data environments, with minimal latency and impact on system performance. This ensures that databases remain synchronized, facilitating high availability, data migration, and real-time analytics.

Название: Advances in Digital Marketing in the Era of Artificial Intelligence: Case Studies and Data Analysis for Business Problem Solving
Автор: Moez Ltifi
Издательство: CRC Press
Год: 2025
Страниц: 329
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

This book highlights the technological advances that are transforming the future of digital marketing and covers important areas of research in this field. The book demonstrates advances in digital marketing as well as tools, techniques, methods and strategies based on Artificial Intelligence (AI). It also identifies gaps in research into effective digital marketing tools, techniques and methods, and it bridges the interaction between digital marketing strategies and organisations’ business plans, on the one hand, and customer relations, on the other, in the age of Artificial Intelligence. This book presents the concepts and applications of digital marketing in the age of Artificial Intelligence to readers in a comprehensive manner. The book highlights the major breakthroughs and technologies in digital marketing for effective interaction, analysis, prediction and design to formulate the best strategy for a business by using Artificial Intelligence solutions. This enables specialists to apply advances in digital marketing in the age of Artificial Intelligence in the right way to serve customers and solve business problems in this competitive age. The advent of ChatGPT, an advanced form of chatbots based on OpenAI’s GPT-3.5 architecture, is distinguished by its ability to understand natural language inputs from users. ChatGPT can assist marketers in creating more human-like interactions with consumers, answering their queries, and offering personalized recommendations.

Название: Introduction to Data Analytics for Accounting, 2nd Edition
Автор: Vernon J. Richardson, Katie L. Terrell, Ryan A. Teeter
Издательство: McGraw Hill
Год: 2024
Страниц: 689
Язык: английский
Формат: pdf (true)
Размер: 32.4 MB

The combination of computerization and automation of many accounting tasks as well as the explosion of available data is changing the accounting profession. To address this, accountants are increasingly required to have an analytics mindset to perform their jobs. Building upon the fundamentals of accounting learned in prior courses, Introduction to Data Analytics for Accounting explores accounting concepts through the application of data analytics. We recognize students need to not only develop the skills to ask the right questions, but to learn how to use tools they may encounter in the workplace such as Excel, Tableau, and PowerBI to examine and analyze data, and then effectively interpret results to make business decisions. This analytics mindset is crucial early in the study of accounting to meet the demands of today's accounting jobs.

Название: Statistical Thinking: Analyzing Data in an Uncertain World
Автор: Russell A. Poldrack
Издательство: Princeton University Press
Год: 2023
Страниц: 281
Язык: английский
Формат: pdf (true)
Размер: 50.5 MB

An essential introduction to statistics for students of psychology and the social sciences. Statistical thinking is increasingly essential to understanding our complex world and making informed decisions based on uncertain data. This incisive undergraduate textbook introduces students to the main ideas of statistics in a way that focuses on deep comprehension rather than rote application or mathematical immersion. The presentation of statistical concepts is thoroughly modern, sharing cutting-edge ideas from the fields of machine learning and data science that help students effectively use statistical methods to ask questions about data. Statistical Thinking provides the tools to describe complex patterns that emerge from data and to make accurate predictions and decisions based on data. The only way to really learn statistics is to do statistics. While many statistics courses historically have been taught using point-and-click statistical software, it is increasingly common for statistical education to use open source languages in which students can code their own analyses. I think that being able to code one’s analyses is essential in order to gain a deep appreciation for statistical analysis, which is why the students in my course at Stanford are expected to learn to use the R statistical programming language to analyze data, alongside the theoretical knowledge that they learn from this book. There are two openly available companions to this textbook that can help the reader get started learning to program; one focuses on the R programming language, and another focuses on the Python language.

Название: Management Science using Excel: Harnessing Excel's advanced features for business optimization
Автор: Isaac Gottlieb
Издательство: BPB Publications
Год: 2024
Страниц: 606
Язык: английский
Формат: pdf, epub
Размер: 23.9 MB

A practical guide to using Excel for decision making, forecasting, optimization, and more. With this book, you will acquire a strong understanding of Management Science in the decision-making field while mastering the solutions with Microsoft Excel. This book alleviates complicated mathematical models with easy Microsoft Excel tools. Management science is a practice of problem-solving and decision-making in organizations, business, and other fields. It uses various analytical methods, including mathematical modeling and statistics, to improve the ability of better decision’s making. The techniques in this book range from maximization of profit, performance, and Return on Investment (ROI) to minimization (cost, time, risk) through Monte Carlos simulations, sensitivity analysis, and other tools. The readers will find countless real-life examples and case studies from banking, finance, transportation, manufacturing, manpower assignment, scheduling, and inventory management through food and product mix. This book's linear and nonlinear techniques utilize the Excel Solver for the solutions. Once you get the hang of using the Solver – you can apply the tools learned to solve problems of your background, experience, and choice. This book takes a hands-on approach using Excel to solve these problems. Instead of using complex mathematical formulations and algorithms – you will learn to set up and solve these problems in an easy-to-follow manner in Excel.