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Podcasty
Building a Cyber Resilient Business. A cyber handbook for executives and boards
Dr. Magda Lilia Chelly, Shamane Tan, Hai Tran
With cyberattacks on the rise, it has become essential for C-suite executives and board members to step up and collectively recognize cyber risk as a top priority business risk. However, non-cyber executives find it challenging to understand their role in increasing the business’s cyber resilience due to its complex nature and the lack of a clear return on investment.This book demystifies the perception that cybersecurity is a technical problem, drawing parallels between the key responsibilities of the C-suite roles to line up with the mission of the Chief Information Security Officer (CISO).The book equips you with all you need to know about cyber risks to run the business effectively. Each chapter provides a holistic overview of the dynamic priorities of the C-suite (from the CFO to the CIO, COO, CRO, and so on), and unpacks how cybersecurity must be embedded in every business function. The book also contains self-assessment questions, which are a helpful tool in evaluating any major cybersecurity initiatives and/or investment required.With this book, you’ll have a deeper appreciation of the various ways all executives can contribute to the organization’s cyber program, in close collaboration with the CISO and the security team, and achieve a cyber-resilient, profitable, and sustainable business.
The MEAN stack is a collection of the most popular modern tools for web development; it comprises MongoDB, Express, AngularJS, and Node.js.Starting with MEAN core frameworks, this project-based guide will explain the key concepts of each framework, how to set them up properly, and how to use popular modules to connect it all together. By following the real-world examples shown in this tutorial, you will scaffold your MEAN application architecture, add an authentication layer, and develop an MVC structure to support your project development. Finally, you will walk through the different tools and frameworks that will help expedite your daily development cycles.Watch how your application development grows by learning from the only guide that is solely orientated towards building a full, end-to-end, real-time application using the MEAN stack!
Apache Spark is a unified data analytics engine designed to process huge volumes of data quickly and efficiently. PySpark is Apache Spark's Python language API, which offers Python developers an easy-to-use scalable data analytics framework.Essential PySpark for Scalable Data Analytics starts by exploring the distributed computing paradigm and provides a high-level overview of Apache Spark. You'll begin your analytics journey with the data engineering process, learning how to perform data ingestion, cleansing, and integration at scale. This book helps you build real-time analytics pipelines that help you gain insights faster. You'll then discover methods for building cloud-based data lakes, and explore Delta Lake, which brings reliability to data lakes. The book also covers Data Lakehouse, an emerging paradigm, which combines the structure and performance of a data warehouse with the scalability of cloud-based data lakes. Later, you'll perform scalable data science and machine learning tasks using PySpark, such as data preparation, feature engineering, and model training and productionization. Finally, you'll learn ways to scale out standard Python ML libraries along with a new pandas API on top of PySpark called Koalas.By the end of this PySpark book, you'll be able to harness the power of PySpark to solve business problems.
Oracle Coherence 3.5. Create Internet-scale applications using Oracle’s high-performance data grid
Patrick Peralta, Mark Falco, Aleksandar Seovic
Scalability, performance, and reliability have to be designed into an application from the very beginning, as there may be substantial cost or implementation consequences if they need to be added down the line. This indispensible book will teach you how to achieve these things using Oracle Coherence, a leading data grid product on the market.Authored by leading Oracle Coherence authorities, this essential book will teach you how to use Oracle Coherence to build high-performance applications that scale to hundreds of machines and have no single points of failure. You will learn when and how to use Coherence features such as distributed caching, parallel processing, and real-time events within your application, and understand how Coherence fits into the overall application architecture. Oracle Coherence provides a solid architectural foundation for scalable, high-performance and highly available enterprise applications, through features such as distributed caching, parallel processing, distributed queries and aggregations, real-time events, and the elimination of single points of failure.However, in order to take full advantage of these features, you need to design your application for Coherence from the beginning. Based on the authors' extensive knowledge of Oracle Coherence, and how to use it in the real world, this book will provide you with all the information you need in order to leverage various Coherence features properly. It contains a collection of best practice-based solutions and mini-frameworks that will allow you to be more productive from the very beginning.The early chapters cover basics like installation guidelines and caching topologies, before moving on to the domain model implementation guidelines, distributed queries and aggregations, parallel processing, and real-time events. Towards the end, you learn how to integrate Coherence with different persistence technologies, how to access Coherence from platforms other than Java, and how to test and debug classes and applications that depend on Coherence.
AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples.This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs).This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing.By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions.
Learning Python Application Development. Click here to enter text
Python is one of the most widely used dynamic programming languages, supported by a rich set of libraries and frameworks that enable rapid development. But fast paced development often comes with its own baggage that could bring down the quality, performance, and extensibility of an application. This book will show you ways to handle such problems and write better Python applications.From the basics of simple command-line applications, develop your skills all the way to designing efficient and advanced Python apps. Guided by a light-hearted fantasy learning theme, overcome the real-world problems of complex Python development with practical solutions. Beginning with a focus on robustness, packaging, and releasing application code, you’ll move on to focus on improving application lifetime by making code extensible, reusable, and readable. Get to grips with Python refactoring, design patterns and best practices. Techniques to identify the bottlenecks and improve performance are covered in a series of chapters devoted to performance, before closing with a look at developing Python GUIs.
As technology becomes more and more accessible and easier to use, we are expected to do more in less time than ever before. Video editors are now expected to be able not only to edit, but create motion graphics, fix sound issues, enhance image quality and color and more. Also, many workers in the PR and marketing world are finding they need to know how to get viral videos made from start to finish as quickly as possible. Final Cut Pro X was built as a one-stop shop with all the tools needed to produce a professional video from beginning to end.The Final Cut Pro X Cookbook contains recipes that will take you from the importing process and basic mechanics of editing up through many of FCPX's advanced tools needed by top-tier editors on a daily basis. Edit quickly and efficiently, fix image and sound problems with ease, and get your video out to your client or the world easily.No program gets you from application launch to the actual editing process faster than FCPX. After covering the basics, the book hits the ground running showing readers how to produce professional quality videos even if video editing isn't your day job.The recipes inside are packed with more than 300 images helping illustrate time-saving editing tools, problem-solving techniques and how to spice up your video with beautiful effects and titles. We also dive into audio editing, color correction and dabble in FCPX's sister programs Motion and Compressor!With more than 100 recipes, the Final Cut Pro X Cookbook is a great aid for the avid enthusiast up to the 40-hour-a-week professional. This book contains everything you need to make videos that captivate your audiences.