Название: Streaming Databases: Unifying Batch and Stream Processing (Final Release)
Автор: Hubert Dulay, Ralph M. Debusmann
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 260
Язык: английский
Формат: True PDF, True EPUB (Retail Copy)
Размер: 15.4 MB

Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming databases to build real-time solutions. Authors Hubert Dulay and Ralph M. Debusmann take you through streaming database fundamentals, including how these databases reduce infrastructure for real-time solutions. You'll learn the difference between streaming databases, stream processing, and real-time online analytical processing (OLAP) databases. And you'll discover when to use push queries versus pull queries, and how to serve synchronous and asynchronous data emanating from streaming databases. So what is a streaming database? Database systems have many different flavors, from traditional relational databases to XML, graph, object, vector, and NoSQL databases. Many of these are well known and have been established for many decades. Streaming, or stream processing, is much less established, although it has seen a steep adoption rate in the industry over the past decade or so, led by the rise of Apache Kafka as the de facto streaming platform. Whether you’re a seasoned database engineer or a novice developer, this book guides you to unlocking the full potential of streaming databases and embracing the future of data processing.

Название: New Frontiers in Textual Data Analysis
Автор: Giuseppe Giordano, Michelangelo Misuraca
Издательство: Springer
Год: 2024
Страниц: 385
Язык: английский
Формат: pdf (true), epub
Размер: 39.4 MB

This volume presents a selection of articles which explore methodological and applicative aspects of textual data analysis. Divided into four parts, it begins by focusing on statistical methods, and then moves on to problems in quantitative language processing. After discussing the challenging task of text mining in relation to emotional and sentiment analyses, the book concludes with a collection of studies in the social sciences and public health which apply textual data analysis methods. The book, comprising thirty contributions, is divided into four parts: (1). Statistical methods for Textual Data Analysis, (2). Advances in language processing, (3). Emotion and Sentiment Analyses, and (4). Textual Data Analysis in action. Machine learning has become a crucial technology in various industries and has many applications ranging from computer vision and natural language processing to predictive policing and healthcare. Artificial Intelligence (AI) models can be grouped into several families based on their underlying architecture, functionality, and applications. The most important ones are the following: 1. Deep Learning models: They have been the driving force behind many breakthroughs in AI in the recent year. Their architecture, made of multiple neuronal layers, is designed to model complex relationships and nonlinear interactions between input and output variables. 2. Generative models: They can generate new data much of a muchness to the fed training data. They are used in most of applications generating new images, music, or text.

Название: Linux-Code fur Einsteiger - September 2024
Издательство: Papercut Limited
Год / месяц: September 2024
Страниц: 72
Формат: PDF
Размер: 55,4 MB
Язык: немецкий

Эта книга содержит подробное введение в основные функции и возможности Linux, включая установку дистрибутива Linux на компьютер, использование командной строки, управление пользователями и файлами, создание сетевых соединений и настройку различных служб. Вы также узнаете, как писать и использовать сценарии Bash. Как введение в программирование для Linux, эта книга будет полезна как профессионалам, так и любителям, предоставляя всю информацию, необходимую для того, чтобы войти в мир программирования для Linux и создавать отличные приложения. В этой книге вы найдете всю информацию, необходимую для того, чтобы войти в мир программирования под Linux и создавать отличные приложения.

Название: MySQL 8 Cookbook: Ready solutions to achieve highest levels of enterprise database scalability, security, reliability, and uptime
Автор: Kyran Velos
Издательство: GitforGits
Год: 2024
Страниц: 335
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

For database developers, administrators, engineers, and backend developers, MySQL 8 Cookbook provides solution-focused recipes. This book takes a practical approach to solving real-world problems by showing readers how to increase database security, enhance performance, and fix common MySQL issues through the use of numerous examples. You will learn how to install, configure, and tune MySQL for optimal performance in Linux environments. Important topics like backup strategies, security measures, query optimization, high availability, and replication are covered in each chapter. You will learn to partition and index datasets in a way that improves query performance, and the book provides step-by-step solutions to help them manage big datasets. With the help of this book, you can convert MySQL into a schema-less database that can manage unstructured data with ease, and it even handles modern data types like JSON. You can build fault-tolerant and scalable database systems including the implementation of multi-source replication, master-slave replication, and master-master replication. Problems like table corruption, excessive CPU and memory usage, deadlocks, and replication lag are addressed in the troubleshooting sections. Also shown are methods for automating and monitoring database security using Linux tools, cron jobs, and MySQL's performance schema. Whether you're managing enterprise databases or developing backend applications, this book will teach you to improve your database management skills and ensure peak performance for systems that are critical to business.

Название: Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing
Автор: Amit Kumar Tyagi, Shrikant Tiwari, Gulshan Soni
Издательство: CRC Press
Год: 2025
Страниц: 419
Язык: английский
Формат: pdf (true), epub
Размер: 26.1 MB

Data analytics and Artificial Intelligence (AI) or data mining techniques have emerged as essential tools for this decade which invite a new revolution in the way manufacturers manage their operations. This has resulted in a transformation in predictive maintenance (PdM), an indispensable strategy that uses the power of data and AI to optimize maintenance practices and, in doing so, redefine the manufacturing landscape/process. Hence, this book provides detail of various topics such as where it uses data analytics and Artificial Intelligence techniques in predictive maintenance in the manufacturing industry. This book will start with fundamental concepts, the transformative impact, and reasons why this convergence of technology and industry is not just a trend but a revolution. As we move on this journey through the realms of data, algorithms, sensors, and real-time decision-making, this book explain essential implications of these emerging (data analytics/data mining techniques) technologies on the future of manufacturing. It starts from data collection and preprocessing to the deployment of required Machine Learning models in the respective area. Machine Learning, a subset of Artificial Intelligence (AI), has become a fundamental aspect of contemporary computing. Its capacity to enable systems to learn from data and independently make informed choices has sparked revolutionary advancements across various sectors. In recent years, the field has witnessed unprecedented growth, driven by advancements in computational power, data availability, and algorithmic sophistication. The essence of Machine Learning lies in its departure from traditional rule-based programming paradigms.

Название: Exam Ref AZ-500 Microsoft Azure Security Technologies, 3rd Edition
Автор: Yuri Diogenes, Orin Thomas
Издательство: Microsoft Press/Pearson Education
Год: 2025
Страниц: 400
Язык: английский
Формат: epub
Размер: 33.9 MB

Prepare for Microsoft Exam AZ-500 and demonstrate your real-world knowledge of Microsoft Azure security, including the skills needed to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities. Designed for professionals with Azure security experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Security Engineer Associate level. The AZ-500 exam deals with advanced topics that require candidates to have an excellent working knowledge of Azure security technologies. Some of the exam comprises topics that even experienced Azure security administrators may rarely encounter unless they regularly work with all Azure aspects. To succeed in taking this exam, candidates need to understand how to manage Azure identity and access and implement Azure platform protection, manage Azure security operations, and secure Azure data and applications. They also need to be able to keep up to date with new developments in Azure security technologies, including expanded features and changes to the interface. A candidate for this exam should be familiar with scripting and automation and deeply understand networking and virtualization. A candidate should also be familiar with cloud capabilities, Azure products and services, and other Microsoft products and services. To pass, candidates require a thorough theoretical understanding and meaningful practical experience implementing the technologies involved. Assumes you have experience in administration of Microsoft Azure and hybrid environments, and familiarity with compute, network, and storage in Azure and Microsoft Entra ID.

Название: MySQL Database Service Revealed: Running MySQL as a Service in the Oracle Cloud Infrastructure
Автор: Charles Bell
Издательство: Apress
Год: 2023
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 14.7 MB

Access all the information you need to begin using the MySQL Database Service (MDS) in the Oracle Cloud Infrastructure (OCI). MDS is Oracle’s new platform as a service (PAAS) offering for open-source database users. This book covers getting started with an account in OCI, gives a brief overview of OCI services available, and provides a short tutorial on MDS. Reading this book helps you take advantage of the powerful OCI features by building your own MySQL database in the cloud. Examples in this book center around running MDS in OCI, and include several of the popular use cases as well as advice on how to implement them. In addition, you will learn more about the related MDS OCI features, such as the high availability features currently available. Finally, you will learn how to back up and restore your data as well as how to get your data into and out of the cloud.

Название: Контролируемый взлом. Библия социальной инженерии. 2 изд
Автор: Другач Ю.С.
Издательство: bhv
Год: 2024
Формат: PDF
Страниц: 210
Размер: 32 Mb
Язык: Русский

Книга рассматривает используемые современными кибер преступниками методы социальной инженерии и способы защиты от нее - как организационные, так и технические.

Название: Data Analytics and Machine Learning for Integrated Corridor Management
Автор: Yashaswi Karnati, Dhruv Mahajan, Tania Banerjee, Rahul Sengupta, Clay Packard, Ryan Casburn
Издательство: CRC Press
Год: 2025
Страниц: 242
Язык: английский
Формат: pdf (true), epub
Размер: 33.4 MB

In an era defined by rapid urbanization and ever-increasing mobility demands, effective transportation management is paramount. This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the movement of people and goods in urban landscapes. From the fundamental principles of traffic signal dynamics to the cutting-edge applications of Machine Learning, each chapter of this comprehensive guide unveils essential aspects of modern transportation management systems. Chapter by chapter, readers are immersed in the complexities of traffic signal coordination, corridor management, data-driven decision-making, and the integration of advanced technologies. Closing with chapters on modeling measures of effectiveness and computational signal timing optimization, the guide equips readers with the knowledge and tools needed to navigate the complexities of modern transportation management systems. With insights into traffic data visualization and operational performance measures, this book empowers traffic engineers and administrators to design 21st-century signal policies that optimize mobility, enhance safety, and shape the future of urban transportation. The advent of Machine Learning has revolutionized data analysis, pattern recognition, and predictive modeling across various domains, including transportation and traffic management. Among the myriad of techniques, clustering, outlier detection, and neural networks stand out for their ability to uncover patterns, identify anomalies, and predict outcomes from complex datasets.

Название: Ultimate Big Data Analytics with Apache Hadoop: Master Big Data Analytics with Apache Hadoop Using Apache Spark, Hive, and Python
Автор: Simhadri Govindappa
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 787
Язык: английский
Формат: pdf, epub
Размер: 25.3 MB

Master the Hadoop Ecosystem and Build Scalable Analytics Systems. This book serves as your comprehensive guide to navigating the complexities of Big Data analytics using Hadoop, offering both foundational knowledge and practical expertise to empower your journey. The Hadoop ecosystem, nurtured under the auspices of the Apache Software Foundation (ASF), represents a cornerstone of modern data processing infrastructure. Starting with an exploration of Hadoop's historical roots and its evolution, we delve into its pivotal role in managing vast datasets efficiently. We also illuminate the broader impact of the Apache Software Foundation, highlighting its collaborative ethos and the innovation it catalyzes across the technology sector. The book begins laying a strong foundation with an overview of data lakes, data warehouses, and related concepts. It then delves into core Hadoop components such as HDFS, YARN, MapReduce, and Apache Tez, offering a blend of theory and practical exercises. You will gain hands-on experience with query engines like Apache Hive and Apache Spark, as well as file and table formats such as ORC, Parquet, Avro, Iceberg, Hudi, and Delta. Detailed instructions on installing and configuring clusters with Docker are included, along with Big Data visualization and statistical analysis using Python. This book is tailored for data engineers, analysts, software developers, data scientists, IT professionals, and engineering students seeking to enhance their skills in big data analytics with Hadoop. Prerequisites include a basic understanding of big data concepts, programming knowledge in Java, Python, or SQL, and basic Linux command line skills.