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: Kubernetes Security and Observability (Early Release)
: Alex Pollitt and Manish Sampat
: OReilly Media
: 2021-04-12: Second Release
: 76
: 10 Mb
: English

This practical book introduces new cloud native approaches for Kubernetes practitioners, like yourself, who care about the security and observability of mission-critical microservices. Through practical guidance and best practice recommendations, this book helps you understand why cloud native applications require a modern approach to security and observability practices and how to implement them.
Do you want to know how to secure and troubleshoot your cloud native applications? Or are you part of a group that wants to solve security and observability challenges before fully adopting Kubernetes in your organization? This book takes you through the full breadth of new cloud native approaches for establishing security and observability with Kubernetes.
: vitvikvas , 06:47 | : 0 |
: Learning Domain-Driven Design (Early Release)
: Vladik Chononov
: OReilly Media
: 2021-04-14: First Release
: 129
: 13 Mb
: English

Today, more than ever, building software is hard. Not only we have to chase ever-changing technological trends, but we also have to grasp business domains that we are building the software for. The latter is often overseen, and it explains why so many projects are doomed to fail. After all, how can you build a solution if you don't understand the problem?
Through this book, you will learn the Domain-Driven Design (DDD) methodology which provides a set of core patterns, principles, and practices for analyzing business domains, understanding business strategy, and, most importantly, aligning software design with its business needs. These include Ubiquitous Language, Bounded Contexts, Event Storming, and others. You will see how these practices not only lead to robust implementation of business logic, but also to future-proof software design and architecture. You will also learn the relationship between DDD and other methodologies to ensure that you are able to make architectural decisions that will meet the business needs. The final section puts all of this into practice using a real life story of implementing Domain-Driven Design in a startup company.
: vitvikvas , 06:34 | : 0 |
: Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets
: Ed Elliott
: Apress
: 2021
: true pdf/epub
: 269
: 12.4 mb
: English

Get started using Apache Spark via C# or F# and the .NET for Apache Spark bindings. This book is an introduction to both Apache Spark and the .NET bindings. Readers new to Apache Spark will get up to speed quickly using Spark for data processing tasks performed against large and very large datasets. You will learn how to combine your knowledge of .NET with Apache Spark to bring massive computing power to bear by distributed processing of extremely large datasets across multiple servers.
: bomboane , 00:49 | : 0 |
: Graph-Powered Analytics and Machine Learning with TigerGraph (Early Release)
: Victor Lee, Xinyu Chang & Gaurav Deshpande
: OReilly Media
: 2021-04-12
: epub/pdf(cov.)
: 13.6 Mb
: English

With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.
: bomboane , 13:29 | : 0 |
Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future Trends: Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future Trends
: Khaled R. Ahmed, Aboul Ella Hassanien
: Springer
: 2021
: 264
: pdf (true), epub
: 54.2 MB

This book contributes to the progress towards intelligent transportation. It emphasizes new data management and Machine Learning approaches such as Big Data, Deep Learning and reinforcement learning. Deep Learning and Big Data are very energetic and vital research topics of todays technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on Machine Learning methods and traditional relational database. Therefore, this book includes recent research works on Big Data, deep convolution networks and IoT-based smart solutions to limit the vehicles speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents.
: Ingvar16 , 12:53 | : 0 |
: An Introduction to IoT Analytics (Chapman & Hall/CRC Data Science Series)
: Harry G. Perros
: Chapman & Hall/CRC Press
: 2021
: True PDF/RTF
: 372
: 10.8 Mb
: English

This book covers techniques that can be used to analyze data from IoT sensors and addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so one can learn how to apply these tools in practice with a good understanding of their inner workings. This is an introductory book for readers who have no familiarity with these techniques.
: bomboane , 11:22 | : 0 |
: Recent Advances in Robot Path Planning Algorithms: A Review of Theory and Experiment
: Hadi Jahanshahi
: Nova Science Publishers
: 2020
: True PDF
: 223
: True PDF
: English

The dominant theme of this book is to introduce the different path planning methods and present some of the most appropriate ones for robotic routing; methods that are capable of running on a variety of robots and are resistant to disturbances; being real-time, being autonomous, and the ability to identify high-risk areas and risk management are the other features that will be mentioned in the introduction of the methods. The introduction of the profound significance of the robots and delineation of the navigation and routing theme is provided in the first chapter of the book.
: bomboane , 05:30 | : 0 |
: Examining Fractal Image Processing and Analysis (Advances in Computational Intelligence and Robotics)
: Soumya Ranjan Nayak (Author, Editor), Jibitesh Mishra (Editor)
: IGI Global
: 2020
: True PDF
: 320
: 12.7 Mb
: English

Digital image processing is a field that is constantly improving. Gaining high-level understanding from digital images is a key requirement for computing. One aspect of study that is assisting with this advancement is fractal theory. This new science has gained momentum and popularity as it has become a key topic of research in the area of image analysis.
: bomboane , 04:55 | : 0 |

: " " 71
: 2003-2021
: 1000+
: pdf, djvu
: 1.5

, , , . . Unity , UNIX. , Android. . , Linux, Windows . WordPress .
: MIHAIL62 12-04-2021, 23:42 | : 0 |
Mathematics with C Programming & Data Structures: Mathematics with C Programming & Data Structures
: Dr. Ramachandra Reddy Avula
: Independently published
: 2018
: 172
: pdf (true)
: 10.1 MB

It is my heartfelt thankful to Mr. Dennis Richie for his invention of simple, powerful, beautiful and grateful programming language named C. C programming is the gateway of learning advanced programming languages. This textbook covers the content of Data types, Keywords, Statements, Control structures, Arrays, Strings, Structures, Unions, Functions, Pointers, Files, Graphs, Trees, Linear and Non-linear data structures. This textbook will gives the best knowledge to the readers on Flowcharts, Algorithms, Fundamentals, Data types, Programming skills of C programming language and data structures using C. This textbook is best to understand the programs because of line by line explanation using comments.
: Ingvar16 12-04-2021, 17:58 | : 0 |

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