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Native MS Security Tools and Configuration

Performance Considerations

In this article by Dayong Du , the author of Apache Hive Essentials , we will look at the different performance considerations when using Hive. Although Hive is built to deal with big data, we still cannot ignore the importance of performance. Most of the time, a better Hive query can rely on the smart query optimizer to find the best execution strategy as well as the default setting best practice from vendor packages. However, as experienced users, we should learn more about the theory and practice of performance tuning in Hive, especially when working in a performance-based project or environment. We will start from utilities available in Hive to find potential issues causing poor performance. Then, we introduce the best practices of performance considerations in the areas of queries and job.

Time Travelling with Spring

This article by Sujoy Acharya , the author of the book Mockito for Spring , delves into the details Time Travelling with Spring. Spring 4.0 is the Java 8-enabled latest release of the Spring Framework. In this article, we'll discover the major changes in the Spring 4.x release and the four important features of the Spring 4 framework. We will cover the following topics in depth: @RestController AsyncRestTemplate Async tasks Caching

MapReduce functions

 In this article, by John Zablocki , author of the book, Couchbase Essentials , you will be acquainted to MapReduce and how you'll use it to create secondary indexes for our documents. At its simplest, MapReduce is a programming pattern used to process large amounts of data that is typically distributed across several nodes in parallel. In the NoSQL world, MapReduce implementations may be found on many platforms from MongoDB to Hadoop, and of course, Couchbase. Even if you're new to the NoSQL landscape, it's quite possible that you've already worked with a form of MapReduce. The inspiration for MapReduce in distributed NoSQL systems was drawn from the functional programming concepts of map and reduce. While purely functional programming languages haven't quite reached mainstream status, languages such as Python, C#, and JavaScript all support map and reduce operations.

Speeding Vagrant Development With Docker

In this article by Chad Thompson , author of Vagrant Virtual Development Environment Cookbook , we will learn that many software developers are familiar with using Vagrant ( to distribute and maintain development environments. In most cases, Vagrant is used to manage virtual machines running in desktop hypervisor software such as VirtualBox or the VMware Desktop product suites. (VMware Fusion for OS X and VMware Desktop for Linux and Windows environments.) More recently, Docker ( has become increasingly popular for deploying containers—Linux processes that can run in a single operating system environment yet be isolated from one another. In practice, this means that a container includes the runtime environment for an application, down to the operating system level. While containers have been popular for deploying applications, we can also use them for desktop development. Vagrant can use Docker in a couple of ways: As a target for running a process defined by Vagrant with the Vagrant provider. As a complete development environment for building and testing containers within the context of a virtual machine. This allows you to build a complete production-like container deployment environment with the Vagrant provisioner. In this example, we'll take a look at how we can use the Vagrant provider to build and run a web server. Running our web server with Docker will allow us to build and test our web application without the added overhead of booting and provisioning a virtual machine.

Basic SQL Server Administration

 In this article by Donabel Santos , the author of PowerShell for SQL Server Essentials , we will look at how to accomplish typical SQL Server administration tasks by using PowerShell. Many of the tasks that we will see can be accomplished by using SQL Server Management Objects ( SMO ). As we encounter new SMO classes, it is best to verify the properties and methods of that class using Get-Help , or by directly visiting the TechNet or MSDN website.

Packaged Elegance

In this article by John Farrar , author of the book KnockoutJS Web development , we will see how templates drove us to a more dynamic, creative platform. The next advancement in web development was custom HTML components. KnockoutJS allows us to jump right in with some game-changing elegance for designers and developers. In this article, we will focus on: An introduction to components Bring Your Own Tags ( BYOT ) Enhancing attribute handling Making your own libraries Asynchronous module definition ( AMD )—on demand resource loading This entire article is about packaging your code for reuse. Using these techniques, you can make your code more approachable and elegant.

SciPy for Signal Processing

In this article by Sergio J. Rojas G. and Erik A Christensen , authors of the book Learning SciPy for Numerical and Scientific Computing , Second Edition , we will focus on the usage of some most commonly used routines that are included in SciPy modules— scipy.signal , scipy.ndimage , and scipy.fftpack , which are used for signal processing, multidimensional image processing, and computing Fourier transforms, respectively. We define a signal as data that measures either a time-varying or spatially varying phenomena. Sound or electrocardiograms are excellent examples of time-varying quantities, while images embody the quintessential spatially varying cases. Moving images are treated with the techniques of both types of signals, obviously. The field of signal processing treats four aspects of this kind of data: its acquisition, quality improvement, compression, and feature extraction. SciPy has many routines to treat effectively tasks in any of the four fields. All these are included in two low-level modules ( scipy.signal being the main module, with an emphasis on time-varying data, and scipy.ndimage , for images). Many of the routines in these two modules are based on Discrete Fourier Transform of the data. SciPy has an extensive package of applications and definitions of these background algorithms, scipy.fftpack , which we will start covering first.

Central Air and Heating Thermostat

 In this article by Andrew K. Dennis , author of the book Raspberry Pi Home Automation with Arduino Second Edition , you will learn how to build a thermostat device using an Arduino. You will also learn how to use the temperature data to switch relays on and off. Relays are the main components that you can use for interaction between your Arduino and high-voltage electronic devices. The thermostat will also provide a web interface so that you can connect to it and check out the temperature.

Elasticsearch Administration

In this article by Rafał Kuć and Marek Rogoziński , author of the book Mastering Elasticsearch, Second Edition we will talk more about the Elasticsearch configuration and new features introduced in Elasticsearch 1.0 and higher. By the end of this article, you will have learned:

A Quick Start Guide to Flume

In this article by Steve Hoffman , the author of the book, Apache Flume: Distributed Log Collection for Hadoop Second Edition , we will learn about the basics that are required to be known before we start working with Apache Flume. This article will help you get started with Flume. So, let's start with the first step: downloading and configuring Flume.

Entity Framework DB First – Inheritance Relationships between Entities

This article is written by Rahul Rajat Singh , the author of Mastering Entity Framework . So far, we have seen how we can use various approaches of Entity Framework, how we can manage database table relationships, and how to perform model validations using Entity Framework. In this article, we will see how we can implement the inheritance relationship between the entities. We will see how we can change the generated conceptual model to implement the inheritance relationship, and how it will benefit us in using the entities in an object-oriented manner and the database tables in a relational manner.

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