Название: Streaming Linked dаta: From Vision to Practice
Автор: Riccardo Tommasini, Pieter Bonte, Fabiano Spiga
Издательство: Springer
Год: 2023
Страниц: 170
Язык: английский
Формат: pdf (true)
Размер: 11.8 MB

This book provides a comprehensive overview of core concepts and technological foundations for continuous engineering of Web streams. It presents various systems and applications and includes real-world examples. Last not least, it introduces the readers to RSP4J, a novel open-source project that aims to gather community efforts in software engineering and empirical research. The book starts with an introductory chapter that positions the work by explaining what motivates the design of specific techniques for processing data streams using Web technologies. Chapter 2 briefly summarizes the necessary background concepts and models needed to understand the remaining content of the book. Subsequently, chapter 3 focuses on processing RDF streams, taming data velocity in an open environment characterized by high data variety. It introduces query answering algorithms with RSP-QL and analytics functions over streaming data.

Название: Acing the System Design Interview (MEAP V7)
Автор: Zhiyong Tan
Издательство: Manning Publications
Год: 2023
Страниц: 412
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

The system design interview can be the hardest part of the software engineering hiring process. This practical book gives you the insights, skills, and practice you need to ace the toughest system design interview questions and land the job and salary you want. In this in-depth guide, you’ll learn how to quickly assess a question, identify an advantageous approach, and then clearly articulate it to an interviewer. A structured approach to preparing for your interview, handy note-taking techniques, and self-evaluation templates help you prep and assess how you did, and improve your future performance.

Название: Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions
Автор: Sarvesh Pandey, Udai Shanker, Vijayalakshmi Saravanan, Rajinikumar Ramalingam
Издательство: Springer
Год: 2023
Страниц: 339
Язык: английский
Формат: pdf (true), epub
Размер: 38.7 MB

Data analytics and Machine Learning technologies, particularly in a decentralized scenario, are offering cost-effective solutions for many real-life problems. Recent developments in computer technology have led to increased research interests in the field of modern data-intensive distributed computing systems. This book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. The book discusses application of data in the health sector, public transportation, the financial institutions, etc. Topics include real-time applications in the current Big Data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; Machine Learning in OpenFlow Network; and application of Deep Learning in blockchain enabled applications. This book is intended for a variety of readers from professional industries, organizations, and students.

Название: MS-900: Microsoft 365 Fundamentals :+300 Exam Practice Questions with Detailed Explanations and Reference Links
Автор: IP Specialist
Издательство: IPSpecialist
Год: 2022
Страниц: 356
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

The fundamentals of cloud computing and the Software as a Service (SaaS) cloud model are covered in this course, focusing on Microsoft 365's cloud service offerings. You will start by learning about the principles of cloud computing, including an introduction to Microsoft cloud services. You will learn about Microsoft Azure and look at how Microsoft 365 and Office 365 differ from one another. After that, you will thoroughly examine Microsoft 365, which will include a comparison of Microsoft on-premises services and Microsoft 365 cloud services, a look at enterprise mobility in Microsoft 365, and a look at how Microsoft 365 services support collaboration. The course then examines how Microsoft 365 handles security, compliance, privacy, and trust before reviewing subscriptions, licenses, invoicing, and support for Microsoft 365.

Название: Practical Data Privacy: Solving Privacy and Security Problems in Your Data Science Workflow (Fifth Early Release)
Автор: Katharine Jarmul
Издательство: O’Reilly Media, Inc.
Год: 2023-01-27
Страниц: 306
Язык: английский
Формат: epub (true), mobi
Размер: 14.2 MB

Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure for data scientists to ensure data privacy. Unfortunately, integrating privacy into your data science workflow is still complicated. This essential guide will give you solid advice and best practices on breakthrough privacy-enhancing technologies such as encrypted learning and differential privacy--as well as a look at emerging technologies and techniques in the field. Federated Learning (FL) and distributed Data Science provide new ways to think about how you do data analysis by keeping data at the edge: on phones, laptops, edge services — or even on-premise architecture or separate cloud architecture when working with partners. The data is not collected or copied to your own cloud or storage before you do analysis or Machine Learning. In this chapter, you’ll learn how this works in practice and determine when this approach is appropriate for a given use case. You’ll also evaluate how to offer privacy via other tools, along with what types of data or engineering problems federated approaches can solve and which are a poor fit. In Data Science, you are almost always using distributed data. Every time you start up a Kubernetes or Hadoop cluster or use a multi-cloud setup for data analysis, your data is de facto distributed.

Название: Advancements in Quantum Blockchain With Real-time Applications
Автор: Mahendra Kumar Shrivas, Kamal Kant Hiran, Ashok Bhansali
Издательство: IGI Global
Серия: Advances in Data Mining and Database Management
Год: 2022
Страниц: 311
Язык: английский
Формат: epub (true)
Размер: 18.9 MB

The amalgamation of post-quantum cryptography in cyber-physical systems makes the computing system secure and also generates opportunities in areas like smart contracts, quantum blockchain, and smart security solutions. Sooner or later, all computing and security systems are going to adopt quantum-proof cryptography to safeguard these systems from quantum attacks. Post-quantum cryptography has tremendous potential in various domains and must be researched and explored further to be utilized successfully. Advancements in Quantum Blockchain With Real-Time Applications considers various concepts of computing such as quantum computing, post-quantum cryptography, quantum attack-resistant blockchain, quantum blockchains, and multidisciplinary applications and real-world use cases. The book also discusses solutions to various real-world problems within the industry. Covering key topics such as cybersecurity, data management, and smart society, this reference work is ideal for computer scientists, industry professionals, academicians, practitioners, scholars, researchers, instructors, and students, as it covers crucial topics like cybersecurity, data management, and the smart society.

Название: Convergence of Big Data Technologies and Computational Intelligent Techniques
Автор: Govind P. Gupta
Издательство: IGI Global
Год: 2023
Страниц: 233
Язык: английский
Формат: epub (true)
Размер: 16.0 MB

Advanced Computational Intelligence (CI) techniques have been designed and developed in recent years to cope with various Big Data challenges and provide fast and efficient analytics that assist in making critical decisions. With the rapid evolution and development of internet-based services and applications, this technology is receiving attention from researchers, industries, and academic communities and requires additional study. Convergence of Big Data Technologies and Computational Intelligent Techniques considers recent advancements in Big Data and Computational Intelligence across fields and disciplines and discusses the various opportunities and challenges of adoption. Covering topics such as Deep Learning, data mining, smart environments, and high-performance computing, this reference work is crucial for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Название: Data Quality: Empowering Businesses with Analytics and AI
Автор: Prashanth Southekal
Издательство: Wiley
Год: 2023
Страниц: 302
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Discover how to achieve business goals by relying on high-quality, robust data. In Data Quality: Empowering Businesses with Analytics and AI, veteran data and analytics professional delivers a practical and hands-on discussion on how to accelerate business results using high-quality data. In the book, you’ll learn techniques to define and assess data quality, discover how to ensure that your firm’s data collection practices avoid common pitfalls and deficiencies, improve the level of data quality in the business, and guarantee that the resulting data is useful for powering high-level analytics and Artificial Intelligence (AI) applications. An essential resource for data scientists, data analysts, business intelligence professionals, chief technology and data officers, and anyone else with a stake in collecting and using high-quality data, Data Quality: Empowering Businesses with Analytics and AI will also earn a place on the bookshelves of business leaders interested in learning more about what sets robust data apart from the rest.

Название: Learn SQL in a Month of Lunches (MEAP v3)
Автор: Jeff Iannucci
Издательство: Manning Publications
Год: 2023
Страниц: 110
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

This book is designed for all SQL beginners, including those who are not necessarily software developers. It emphasizes practical ways to use SQL, rather than theoretical, helping you quickly assimilate the basics needed to begin implementing what you’ve learned. If you know how to use Windows or MacOS and have experience using spreadsheet applications, then you absolutely are ready to start learning how to use SQL to read and manipulate data, create database objects, and more. Structured Query Language (SQL) is the standard way to get specific datasets out of large relational databases. If you use Excel, Tableau, or PowerBI to crunch business data, you’ve probably seen a lot of SQL already. And guess what? It’s easy to master the most useful parts of SQL! In just a few quick lessons, you can learn to write your own queries, modify existing SQL statements, and add a new superpower to your bag of tricks.

Название: Writing for Data Scientists: How to build a career writing about Data Science and Machine Learning
Автор: Derrick Mwiti
Издательство: Leanpub
Год: 2022
Страниц: 112
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

Build a career while doing technical wriitng. I earned $300 for my first paid Data Science and Machine Learning article. I get paid between $250 and $500 for each Data Science article I write. In this ebook, I'll show you how you too, can earn while writing about Data Science and Machine Learning. There are infinite levels of understanding and comprehension of data science and machine learning concepts. When we try to explain a particular concept concisely and clearly, we start to go through levels of our understanding and ask ourselves questions we never thought of before.