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Geocoding Address-based Data

In this article by Kurt Menke, GISP , Dr. Richard Smith Jr., GISP , Dr. Luigi Pirelli , Dr. John Van Hoesen, GISP , authors of the book Mastering QGIS , we'll have a look at how to geocode address-based date using QGIS and MMQGIS.

How Vector Features are Displayed

In this article by Erik Westra , author of the book Building Mapping Applications with QGIS , we will learn how QGIS symbols and renderers are used to control how vector features are displayed on a map. In addition to this, we will also learn saw how symbol layers work. The features within a vector map layer are displayed using a combination of renderer and symbol objects. The renderer chooses which symbol is to be used for a given feature, and the symbol does the actual drawing.

Storm for Real-time High Velocity Computation

In this article by Shilpi Saxena , author of the book Real-time Analytics with Storm and Cassandra , we will cover the following topics: What's possible with data analysis? Real-time analytics—why is it becoming the need of the hour Why storm—the power of high speed distributed computations We will get you to think about some interesting problems along the lines of Air Traffic Controller ( ATC ), credit card fraud detection, and so on. First and foremost, you will understand what is big data. Well, big data is the buzzword of the software industry but it's much more than the buzz in reality, it's really a huge amount of data.

Puppet and OS Security Tools

In this article by Jason Slagle , author of the book Learning Puppet Security , covers using Puppet to manage SELinux and auditd. We learned a lot so far about using Puppet to secure your systems as, well as how to use it to make groups of systems more secure. However, in all of that, we've not yet covered some of the basic OS-level functions that are available to secure a system. In this article, we'll review several of those functions.

System Center Reporting

This article by the lead author Samuel Erskine , along with the co-authors Dieter Gasser , Kurt Van Hoecke , and Nasira Ismail , of the book Microsoft System Center Reporting Cookbook , discusses the drivers of organizational reporting and the general requirements on how to plan for business valued reports, steps for planning for the inputs your report data sources depends on, how you plan to view a report, the components of the System Center product, and preparing your environment for self-service Business Intelligence ( BI ). A report is only as good as the accuracy of its data source. A data source is populated and updated by an input channel. In this article, we will cover the following recipes: Understanding the goals of reporting Planning and optimizing dependent data inputs Planning report outputs Understanding the reporting schemas of System Center components Configuring Microsoft Excel for System Center data analysis

Understanding and Creating Simple SSRS Reports

In this article by Deepak Agarwal and Chhavi Aggarwal , authors of the book Microsoft Dynamics AX 2012 R3 Reporting Cookbook , we will cover the following topics: Grouping in a report Adding ranges to a report Deploying a report Creating a menu item for a report Creating a report using a query in Warehouse Management

An Overview of Horizon View Architecture and its Components

In this article by Peter von Oven and Barry Coombs , authors of the book Mastering VMware Horizon 6 , we will introduce you to the architecture and architectural components that make up the core VMware Horizon solution, concentrating on the virtual desktop elements of Horizon with Horizon View Standard. This article will cover the core Horizon View functionality of brokering virtual desktop machines that are hosted on the VMware vSphere platform. In this article, we will discuss the role of each of the Horizon View components and explain how they fit into the overall infrastructure and the benefits they bring, followed by a deep-dive into how Horizon View works.

Testing with the Android SDK

In this article by the author, Paul Blundell , of the book, Learning Android Application Testing , we learn to start digging a bit deeper to recognize the building blocks available to create more useful tests. We will be covering the following topics: Common assertions View assertions Other assertion types Helpers to test User Interfaces Mock objects Instrumentation TestCase class hierarchies Using external libraries We will be analyzing these components and showing examples of their use when applicable. The examples in this article are intentionally split from the original Android project that contains them. This is done to let you concentrate and focus only on the subject being presented, though the complete examples in a single project can be downloaded as explained later. Right now, we are interested in the trees and not the forest. Along with the examples presented, we will be identifying reusable common patterns that will help you in the creation of tests for your own projects.

Cassandra Architecture

In this article by Nishant Neeraj , the author of the book Mastering Apache Cassandra - Second Edition , aims to set you into a perspective where you will be able to see the evolution of the NoSQL paradigm. It will start with a discussion of common problems that an average developer faces when the application starts to scale up and software components cannot keep up with it. Then, we'll see what can be assumed as a thumb rule in the NoSQL world: the CAP theorem that says to choose any two out of consistency, availability, and partition-tolerance. As we discuss this further, we will realize how much more important it is to serve the customers (availability), than to be correct (consistency) all the time. However, we cannot afford to be wrong (inconsistent) for a long time. The customers wouldn't like to see that the items are in stock, but that the checkout is failing. Cassandra comes into picture with its tunable consistency.

Big Data Analysis (R and Hadoop)

This article is written by Yu-Wei, Chiu (David Chiu) , the author of Machine Learning with R Cookbook . In this article, we will cover the following topics: Preparing the RHadoop environment Installing rmr2 Installing rhdfs Operating HDFS with rhdfs Implementing a word count problem with RHadoop Comparing the performance between an R MapReduce program and a standard R program Testing and debugging the rmr2 program Installing plyrmr Manipulating data with plyrmr Conducting machine learning with RHadoop Configuring RHadoop clusters on Amazon EMR

Subscribing to a report

 In this article by Johan Yu , the author of Salesforce Reporting and Dashboards , we get acquainted to the components used when working with reports on the Salesforce platform. Subscribing to a report is a new feature in Salesforce introduced in the Spring 2015 release. When you subscribe to a report, you will get a notification on weekdays, daily, or weekly, when the reports meet the criteria defined. You just need to subscribe to the report that you most care about.

Geolocating photos on the map

In this article by Joel Lawhead , author of the book,  QGIS Python Programming Cookbook uses the tags to create locations on a map for some photos and provide links to open them.

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