D'autres livres qui pourraient vous intéresser

• 

  Kubernetes - The Updated Guide...

  Steve D. Pountol

  • 0
  • 0
  • 0

  Have you been trying to learn Kubernetes but didn't know where to start? 
  Kubernetes is the new need to know technology for anyone who wants to make a serious living at working on the Google platform. It's the most popular container-orchestration system used for automating application deployment. Originally designed by Google Kubernetes is now an open-source product that is being used by more companies every day.Taking the time to learn Kubernetes will set you apart from other application developers by ensuring that you can handle all aspects of application development and deployment. By learning Kubernetes you're ensuring that you will have a bright future in app design. 
  What will you learn in this Audiobook:You will learn exactly what Kubernetes is and how to use it for your businessHow to secure Kubernetes and other security aspectsLeveraging the power of scheduling in KubernetesWhat is PODHow to deploy your application inside KubernetesLingo (Object-oriented language)Kubernetes build procedure 
  And so much more! 
  Kubernetes is the future of app development. If you are serious about maintaining a long term career in this field then you need to learn it sooner rather than later. Already, Kubernetes is becoming a staple in the app development life cycle and this book will show you everything you need to know to get started in it. 
  Unlike other audiobooks, this audiobook will teach you exactly what you need to know about Kubernetes without wasting your time with outdated information. Instead of showing you step by step how to make Kubernetes work for you with lessons crafted by an expert in the field. Kubernetes is changing the way app development happens, you cannot afford not to learn it. 
   If you are serious about learning Kubernetesthen you need to get this audiobook today!

  Voir livre

• 

  Data Intensive Applications -...

  SAM CAMPBELL

  • 0
  • 0
  • 0

  In a world dominated by information, the ability to harness and interpret vast volumes of data has become paramount. "Data Intensive Applications: Architecting Scalable Solutions for Informed Decision-Making and Innovation" is your definitive guide to navigating the complexities of the data revolution. This book explores the fundamental principles, cutting-edge technologies, and real-world applications that define the landscape of data-intensive computing. 
  From the basics of big data to the intricacies of distributed computing, this book takes you on a journey through the foundations of data-intensive applications. Delve into the design principles that underpin scalable and high-performance systems, understanding the critical concepts of volume, velocity, variety, veracity, and value. Explore the architecture of data-intensive applications, unraveling the mysteries of data storage, retrieval, and processing, and learn how to architect systems for maximum scalability and fault tolerance. 
  "Data Intensive Applications" goes beyond theory, offering practical insights into data processing and analytics. Dive into batch processing with technologies like Hadoop and Spark, and explore the realm of real-time processing using frameworks like Apache Flink and Kafka Streams. Discover the diverse landscape of data storage technologies, from traditional relational databases to NoSQL and NewSQL solutions, and understand the importance of effective data integration and ETL processes. 
  The book doesn't stop there; it delves into the realm of machine learning and artificial intelligence, showcasing how these technologies seamlessly integrate into data-intensive applications. Learn about the best practices for data security and privacy, ensuring compliance with regulations while addressing ethical considerations. 
   

  Voir livre

• 

  Quantum Mechanics and Quantum...

  Daniel Garfield

  • 0
  • 0
  • 0

  "Quantum Mechanics and Quantum Information Theory: Understanding the Fundamentals and Potential Applications" is a comprehensive guide to the fascinating world of quantum mechanics and its potential applications in quantum information theory.  
  This book explores the fundamental principles of quantum mechanics, including wave-particle duality, superposition, and entanglement, and explains how these principles underlie the development of quantum computing, quantum cryptography, and quantum communication.  
  The book is written in a clear and accessible manner, making it suitable for both students and researchers interested in the field. Through its detailed explanations and examples, this book offers a valuable resource for understanding the exciting potential of quantum mechanics and quantum information theory.

  Voir livre

• 

  TechnoLeaders: Steps to Enhance...

  Tom Henricksen

  • 0
  • 0
  • 0

  Leading teams of technology professionals takes a mix of leadership and technical understanding. In this book we will step you through the process of how you can take your technology position and become a leader in your field.

  Voir livre

• 

  Make Money Online with YouTube

  Richard Harrell

  • 0
  • 0
  • 0

  Make Money Online with YouTube: Learn About Leveraging the Power of Video to Make Money OnlineWhether you're a content creator, an entrepreneur, or just looking for new ways to monetize your skills, YouTube can be a powerful platform for earning income. But making money on YouTube isn't just about racking up views and clicks. It's also about building a community of loyal subscribers, collaborating with other creators, and consistently producing high-quality content that resonates with your audience.This audiobook will teach you all the essential strategies and tactics you need to know to start making money on YouTube. From setting up a channel and optimizing your videos for maximum visibility, to monetizing your content. Anyone can truly start their own YouTube channel but not everyone learns how to maximize the potential of their channel. If you want to learn more, scroll up and click “add to cart” now!

  Voir livre

• 

  Probability Theory

  Introbooks Team

  • 0
  • 0
  • 0

  Analysis theory of any random phenomena is known as probability. Main resource for concept of probability is probability theory. Probability theory is said to be one of many most important concepts or branches of mathematics. Following objects are known as main concepts or central objects:Random variablesStochastic processesRandom eventsMeasured quantities 
  Events are a kind of abstraction achieved through mathematical process. This abstraction is done on the base of non-deterministic events. Measured quantities can also be used for such abstraction. Measured quantities can be single occurrence or also follow random fashion for time evolving multiple occurrences. Making predictions about the outcome of random events is not always easy or even impossible sometimes. However, if influences are made on sequence of individual events, they will tend to follow certain patterns that are much easy to study, practice and predict. For instance, if outcome of coin flipping or roll of dice is influenced by outer factors such as friction, they will follow a specific pattern when proving outcome. Once this certain pattern is figured out and understood properly, it becomes much easier to predict the outcome with maximum accuracy. It means that it is hard to understand future outcome of subsequent random events that makes it hard to predict them. However, it is easy to predict pattern exhibited by these group of events that makes it easy to predict them and their corresponding events also. To describe such patterns certain mathematical results or concepts are used. Law of large numbers and central limit theorem are two main concepts that are used to study and describe such patterns followed by sequential random events. 
  Mathematical foundations of statistics consider probability theory as a practical part for any human activity in which, quantitative analysis of large data sets are involved. Involving in daily human activities makes probability theory a main concept of mathematics and statistics. It is also heavily involved in many mathematical and statistical concepts, which also makes it important for one to learn and understand basic concepts of this theory. Probability theory can also be used to describe complex systems, systems that hold only partial knowledge of their corresponding state. These descriptions are done the same way they are done in statistical mechanics. This is the main reason for which this theory is considered as a part of both mathematics and statistics. However, mathematics and statistics are parent theories for each other so any concept of mathematics can be a concept of statistics and any concept of statistics can be a concept of mathematics. Discovery of probabilistic behavior of physical phenomena is considered a great discovery in the field of physics. This probabilistic behavior was observed at atomic scales. This whole observation was heavily related to the concepts of probability theory. However, probability theory was not used as a complete base in that theory. This concept and research is broadly described in theory of quantum mechanics. Quantum mechanics is arguably the only field in physics, which is related with the concepts of probability theory. However, researches are still going on and more connections are much likely to be found out soon thanks to the deep relations between mathematics and physics. 

  Voir livre