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Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics

Abhishek Andhavarapu

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently.You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.

2442
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Learning ELK Stack. Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana

Saurabh Chhajed

The ELK stack—Elasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before.This book will introduce you to the ELK (Elasticsearch, Logstash, and Kibana) stack, starting by showing you how to set up the stack by installing the tools, and basic configuration. You’ll move on to building a basic data pipeline using the ELK stack.Next, you’ll explore the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is also covered, along with various types of advanced data analysis, and a variety of charts, tables ,and maps.Finally, by the end of the book you will be able to develop full-fledged data pipeline using the ELK stack and have a solid understanding of the role of each of the components.

2443
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Learning Embedded Linux using the Yocto Project. Develop powerful embedded Linux systems with the Yocto Project components

Alexandru Vaduva

If you are a Yocto and Linux enthusiast who wants to build embedded Linux systems but do not have the knowledge to do it, this is the book for you. It will also help those of you who have a bit of knowledge about Linux and the embedded world and are keen on learning more about the technology. This book will provide you with the skills needed to successfully interact with the Yocto Project components regardless of the fact that you are new to embedded development or an expert.

2444
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Learning Ext JS. Create powerful web applications with the new and improved Ext JS 5 library

Carlos A Mendez Segura, Crysfel Villa, Armando...

If you are a JavaScript developer who now wants to use the Ext JS framework, this is the book for you. This guide is useful to you whether you're new to Ext JS 5 or are a seasoned expert. Experience in HTML, CSS, and JavaScript is required in order to understand and get the most out of this book.

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Learning Firefox OS Application Development. Learn to design, build, and deploy your Firefox OS applications, built with web technologies, to the Firefox Marketplace

Tanay Pant

With broad compatibility, the latest in web technologies, and powerful development tools, Firefox is a great choice for both web developers and end users. Firefox OS’s promotion of HTML5 as a first class citizen opens up the walled gardens of mobile application development for web developers. It is because of this initiative that no special SDKs are required to develop for Firefox OS. This book will help you excel in the art of developing applications for Firefox OS. It sequentially covers knowledge building, skills acquisition, and practical applications. Starting with an introduction to Firefox OS, usage of WebIDE, and then the application structure, this book introduces applications of increasing complexity with each chapter. An application that measures your tapping speed, a geolocation tagging application, and a photo editing and sharing application are the three applications that will be built from scratch. You will learn about topics such as the difference between various types of Firefox OS applications, application manifest files, offline apps, and designing principles for applications. You will also learn to test and submit the applications to the marketplace and finally maintain the repository of the Firefox OS application. By the end, you will be able to develop beautifully designed, fully-fledged, and rigorously tested Firefox OS applications and also share them at the Firefox OS Marketplace.

2446
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Learning Flask Framework. Build dynamic, data-driven websites and modern web applications with Flask

Flask is a small and powerful web development framework for Python. It does not presume or force a developer to use a particular tool or library. Flask supports extensions that can add application features as if they were implemented in Flask itself. Flask’s main task is to build web applications quickly and with less code. With its lightweight and efficient web development framework, Flask combines rapid development and clean, simple design.This book will take you through the basics of learning how to apply your knowledge of Python to the web.Starting with the creation of a “Hello world” Flask app, you will be introduced to the most common Flask APIs and Flask’s interactive debugger. You will learn how to store and retrieve blog posts from a relational database using an ORM and also to map URLs to views. Furthermore, you will walk through template blocks, inheritance, file uploads, and static assets.You will learn to authenticate users, build log in/log out functionality, and add an administrative dashboard for the blog. Moving on, you will discover how to make Ajax requests from the template and see how the Mock library can simplify testing complex interactions.Finally, you will learn to deploy Flask applications securely and in an automated, repeatable manner, and explore some of the most popular Flask resources on the web.

2447
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Learning Force.com Application Development. Use the Force.com platform to design and develop real-world, cutting-edge cloud applications

Chamil Madusanka

If you are a developer who wants to learn how to develop and deploy applications from the Salesforce.com platform, then this book is for you. No prior knowledge of Salesforce is necessary.

2448
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Learning Functional Data Structures and Algorithms. Learn functional data structures and algorithms for your applications and bring their benefits to your work now

Atul S. Khot, Raju Kumar Mishra

Functional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs. How do we express traditional algorithms in functional setting? Won’t we end up copying too much? Do we trade performance for versioned data structures? This book attempts to answer these questions by looking at functional implementations of traditional algorithms. It begins with a refresher and consolidation of what functional programming is all about. Next, you’ll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical. Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency.By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications.