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Why Big Data in the Financial Sector?

In this article by Rajiv Tiwari , author of the book, Hadoop for Finance Essentials , explains big data is not just changing the data landscape of healthcare, human science, telecom, and online retail industries, but is also transforming the way financial organizations treat their massive data.

Introduction to Hadoop

In this article by Shiva Achari , author of the book Hadoop Essentials , you'll get an introduction about Hadoop, its uses, and advantages

Getting Started with WebSockets

In this article by Varun Chopra , author of the book  WebSocket Essentials – Building Apps with HTML5 WebSockets , we will try to understand why we need and what is the importance of WebSockets, followed by when to use them and how WebSockets actually work. Client server communication is one of the most important parts of any web application. Data communication between the server and client has to be smooth and fast so that the user can have an excellent experience. If we look into the traditional methods of server communication, we will find that those methods were limited and were not really the best solutions. These methods have been used by people for a long period of time and made HTML the second choice for data communication.

A Command-line Companion Called Artisan

In this article by Martin Bean , author of the book Laravel 5 Essentials , we will see how Laravel's command-line utility has far more capabilities and can be used to run and automate all sorts of tasks. In the next pages, you will learn how Artisan can help you: Inspect and interact with your application Enhance the overall performance of your application Write your own commands By the end of this tour of Artisan's capabilities, you will understand how it can become an indispensable companion in your projects.

Preparing our Solution

This article by Simon Buxton and Mat Fergusson , the authors of Microsoft Dynamics AX 2012 R3 Programming – Getting Started , covers the preparation work required before we start cutting code. Some parts of this may be skipped or reduced, depending on the scale of the development. This article does not cover the installation and configuration of the required environments; it is assumed that this is already done.

Introducing PostgreSQL 9

In this article by Simon Riggs , Gianni Ciolli , Hannu Krosing , Gabriele Bartolini , the authors of  PostgreSQL 9 Administration Cookbook - Second Edition , we will introduce PostgreSQL 9. PostgreSQL is a feature-rich, general-purpose database management system. It's a complex piece of software, but every journey begins with the first step.

PostgreSQL – New Features

In this article, Jayadevan Maymala , author of the book, PostgreSQL for Data Architects , you will see how to troubleshoot the initial hiccups faced by people who are new to PostgreSQL. We will look at a few useful, but not commonly used data types. We will also cover pgbadger, a nifty third-party tool that can run through a PostgreSQL log. This tool can tell us a lot about what is happening in the cluster. Also, we will look at a few key features that are part of PostgreSQL 9.4 release. We will cover a couple of useful extensions.

Algorithmic Trading

In this article by James Ma Weiming , author of the book Mastering Python for Finance , we will see how algorithmic trading automates the systematic trading process, where orders are executed at the best price possible based on a variety of factors, such as pricing, timing, and volume. Some brokerage firms may offer an application programming interface ( API ) as part of their service offering to customers who wish to deploy their own trading algorithms. For developing an algorithmic trading system, it must be highly robust and handle any point of failure during the order execution. Network configuration, hardware, memory management and speed, and user experience are some factors to be considered when designing a system in executing orders. Designing larger systems inevitably add complexity to the framework.

Controlling the Movement of a Robot with Legs

In this article by Richard Grimmett , author of the book  Raspberry Pi Robotics Projects - Second Edition , we will add the ability to move the entire project using legs. In this article, you will be introduced to some of the basics of servo motors and to using Raspberry Pi to control the speed and direction of your legged platform. Even though you've learned to make your robot mobile by adding wheels or tracks, these platforms will only work well on smooth, flat surfaces. Often, you'll want your robot to work in environments where the path is not smooth or flat; perhaps, you'll even want your robot to go upstairs or over other barriers. In this article, you'll learn how to attach your board, both mechanically and electrically, to a platform with legs so that your projects can be mobile in many more environments. Robots that can walk! What could be more amazing than this? In this article, we will cover the following topics: Connecting Raspberry Pi to a two-legged mobile platform using a servo motor controller Creating a program in Linux so that you can control the movement of the two-legged mobile platform Making your robot truly mobile by adding voice control

Advanced Playbooks

In this article by the author, Daniel Hall , of the book, Ansible Configuration Management - Second Edition , we learn to start digging a bit deeper into playbooks. We will be covering the following topics: External data lookups Storing results Processing data Debugging playboks

Resource Manager on CentOS 6

In this article is written by Mitja Resman , author of the book  CentOS High Availability , we will learn cluster resource management on CentOS 6 with the RGManager cluster resource manager. We will learn how and where to find the information you require about the cluster resources that are supported by RGManager, and all the details about cluster resource configuration. We will also learn how to add, delete, and reconfigure resources and services in your cluster. Then we will learn how to start, stop, and migrate resources from one cluster node to another. When we are done with this article, your cluster will be configured to run and provide end users with a service.

Integrating a D3.js visualization into a simple AngularJS application

In this article by Christoph Körner , author of the book  Data Visualization with D3 and AngularJS , we will apply the acquired knowledge to integrate a D3.js visualization into a simple AngularJS application. First, we will set up an AngularJS template that serves as a boilerplate for the examples and the application. We will see a typical directory structure for an AngularJS project and initialize a controller. Similar to the previous example, the controller will generate random data that we want to display in an autoupdating chart. Next, we will wrap D3.js in a factory and create a directive for the visualization. You will learn how to isolate the components from each other. We will create a simple AngularJS directive and write a custom compile function to create and update the chart.

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