Название: SQL Server Big Data Clusters: Early First Edition Based on Release Candidate 1 Автор: Benjamin Weissman, Enrico van de Laar Издательство: Apress Год: 2019 Формат: true pdf/epub Страниц: 255 Размер: 25 Mb Язык: English
Get a head-start on learning one of SQL Server 2019’s latest and most impactful features―Big Data Clusters―that combines large volumes of non-relational data for analysis along with data stored relationally inside a SQL Server database. This book provides a first look at Big Data Clusters based upon SQL Server 2019 Release Candidate 1. Start now and get a jump on your competition in learning this important new feature. Big Data Clusters is a feature set covering data virtualization, distributed computing, and relational databases and provides a complete AI platform across the entire cluster environment. This book shows you how to deploy, manage, and use Big Data Clusters. For example, you will learn how to combine data stored on the HDFS file system together with data stored inside the SQL Server instances that make up the Big Data Cluster.
Название: Diagramming Architecture: according to the Principle Based Enterprise Architecture method Автор: Ian Koenig Издательство: Amazon Digital Services LLC Год: 2019 Страниц: 220 Язык: английский Формат: epub Размер: 17.1 MB
The Principle Based Enterprise Architecture (PBEA) Method is a proven approach for implementing an enterprise-wide architecture practice in large- and medium-sized technology organizations. These diagramming guidelines guidelines facilitate the documentation and communication of technology architecture. Clear communication is necessary both as a part of an enterprise architecture governance process and in the flow of information from business requirements to systems architecture to technical design to implementation to live operations.
Название: Nature Inspired Computing for Data Science Автор: Minakhi Rout, Jitendra Kumar Rout Издательство: Springer Серия: Studies in Computational Intelligence Год: 2020 Страниц: 302 Язык: английский Формат: pdf (true) Размер: 10.8 MB
This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and Deep Learning.
Название: Computer Programming for Beginners: 5 books in 1 - Python programming + SQL + Arduino + C# + jаvascript to become skilled faster Автор: Ryan Turner Издательство: Amazon ISBN: no, ASIN: B081TGTW1T Год: 2019 Формат: EPUB, PDF(конвертир) Страниц: 891 Размер: 2 MB + 5 Мб Язык: English
Are you a newcomer to computer programming and baffled by the range of options before you? Are you finding it hard to decide which one is best for your particular needs?
If so, this book provides an innovative solution!
Computer programming is big business. As more and more people are getting online and more companies strive to develop programming languages, for the novice it can seem like an impossible choice when faced with the array of alternatives. So how do you choose the right one for you?
Название: Linux Observability with BPF: Advanced Programming for Performance Analysis and Networking First Edition Автор: David Calavera, Lorenzo Fontana Издательство: O'Reilly Media Год: 2019 Формат: epub/pdf(conv.) Страниц: 180 Размер: 24.1 Mb Язык: English
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.
Название: OpenGL. Трехмерная графика и язык программирования шейдеров Автор: Рэнди Дж. Рост Издательство: Питер Год: 2005 ISBN: 5-469-00383-3 Формат: pdf Страниц: 425 Размер: 14,3 Mb Язык: Русский
Данная книга - руководство для опытных разработчиков приложений трехмерной графики, представляет собой исчерпывающее и при этом занимательное введение в язык шейдеров высокого уровня. Книга может использоваться и в качестве справочника, и в качестве учебного пособия. В ней обстоятельно описан переход от стандартной функциональности графических ускорителей к программируемому графическому аппаратному обеспечению и дополнениям к API OpenGL.
Название: Deep Learning for Vision Systems (MEAP Edition) Автор: Mohamed Elgendy Издательство: Manning Publications Год: 2019 Формат: true pdf/epub Страниц: 396 Размер: 54.3 Mb Язык: English
Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you'll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision!
Название: Reactive Application Development Автор: Duncan DeVore, Sean Walsh Издательство: Manning Publications Год: 2018 Страниц: 288 Язык: английский Формат: pdf (true), epub Размер: 14.7 MB
Reactive Application Development is a hands-on guide that teaches you how to build reliable enterprise applications using reactive design patterns. Mission-critical applications have to respond instantly to changes in load, recover gracefully from failure, and satisfy exacting requirements for performance, cost, and reliability. That's no small task! Reactive designs make it easier to meet these demands through modular, message-driven architecture, innovative tooling, and cloud-based infrastructure.
Название: Mastering Large Datasets: Parallelize and Distribute Your Python Code (MEAP Edition) +code Автор: J. T. Wolohan Издательство: Manning Publications Год: 2019 Формат: true pdf/epub Страниц: 291 Размер: 17 Mb Язык: English
With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you'll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!
Thanks to the authors' easy-to-digest style, you'll effortlessly learn about types, object-oriented programming with classes and interfaces, and using TypeScript with jаvascript libraries. You'll discover TypeScript's excellent tooling as you explore code-quality improvement with TSLint, debugging with source maps, unit testing, and more. TypeScript is jаvascript with an important upgrade! By adding a strong type system to jаvascript, TypeScript can help you eliminate entire categories of runtime errors. In TypeScript Quickly, you'll learn to build rock-solid apps through practical examples and hands-on projects under the expert instruction of experienced web developers Yakov Fain and Anton Moiseev.
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