Big Data Analysis

This article created by Jonathan R. Owens, Jon Lentz, and Brian Femiano, authors of Hadoop Real-World Solutions Cookbook, contains recipes designed to show how you can put Hadoop to use to answer different questions about your data. Several of the Hive examples will demonstrate how to properly implement and use a custom function (UDF) for reuse in different analytics. There are two Pig recipes that show different analytics with the Audioscrobbler dataset and one MapReduce Java API recipe that shows Combiners.

In this article, we will cover:

• Counting distinct IPs in weblog data using MapReduce and Combiners

• Using Hive date UDFs to transform and sort event dates from geographic event data

• Using Hive to build a per-month report of fatalities over geographic event data

• Implementing a custom UDF in Hive to help validate source reliability over geographic event data

• Marking the longest period of non-violence using Hive MAP/REDUCE operators and Python

• Calculating the cosine similarity of Artists in the Audioscrobbler dataset using Pig

• Trim outliers from the Audioscrobbler dataset using Pig and datafu

Learning to apply Apache Hive, Pig, and MapReduce to solve the specific problems you are faced with can be difficult. The recipes in this article present a few big data problems and provide solutions that show how to tackle them. You will notice that the questions we ask of the data are not incredibly complicated, but you will require a different approach when dealing with a large volume of data. Even though the sample datasets in the recipes are small, you will find that the code is still very applicable to bigger problem spaces distributed over large Hadoop clusters.

The analytic questions in this article are designed to highlight many of the more powerful features of the various tools. You will find many of these features and operators useful as you begin solving your own problems.

Ten IPython essentials

In this article by Cyrille Rossant, author of Learning IPython for Interactive Computing and Data Visualization, we will take a quick tour of IPython by introducing 10 essential features of this powerful tool. Although brief, this hands-on visit will cover a wide range of IPython functionalities.

Creating a Lazarus Component

In this article by Roderick Person, author of Getting Started with Lazarus IDE, we are going to look at creating new components for Lazarus. We will do this by:

• Creating a message-logging component

• Adding properties to the components that appear in the Object Inspector window when a component is used in design time

• Adding events of the components that appear in the Object Inspector window when a component is used in design time

• Learning the basics of creating a Property Editor window

• Learning the basics of creating a Component Editor window and looking at the TCheckListBoxComponentEditor component are some examples

So let's begin.

SciPy for Computational Geometry

In this article by Francisco J. Blanco-Silva, the author of Learning SciPy for Numerical and Scientific Computing, we will cover the routines in the scipy.spatial module that deal with the construction of triangulations of points in spaces of any dimension, and the corresponding convex hulls. The procedure is simple; given a set of m points in the n-dimensional space (which we represent as an m x n NumPy array), we create the scipy.spatial class Delaunay , containing the triangulation formed by those points.

Creating a website with Artisteer

The article, Creating a website with Artisteer, helps you develop a good-looking, professional website using Artisteer without the need to learn programming languages. This article by Jakub Sanecki, author of Creating Templates with Artisteer, explains the process of designing templates for websites using Artisteer.

Testing your App

While the subject of testing could span whole books and there are many books on the subject indeed, we will offer a framework for testing HTML5 enterprise applications as well as an outline of cogent topics that will serve as a point of departure for further study. Different testing tools come with their own particular set of idioms; we will cover the concepts underlying those idioms.

This article by Nehal Shah and Gabriel José Balda Ortíz, authors of HTML5 Enterprise Application Development, will cover the following:

• Unit testing

• Functional testing

• Browser testing

• Continuous integration

Getting started with Modernizr using PHP IDE

This article by Chip Lambert, author of Instant RESS Implementation How-to will explain how to get started with the feature detection library, Modernizr.