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QlikView has been around since 1993, but has only really taken off in recent years as a leader in the in-memory BI space and, more recently, in the data discovery area. QlikView features the ability to consolidate relevant data from multiple sources into a single application, as well as an associative data model to allow you to explore the data to a way your brain works, state-of-the-art visualizations, dashboard, analysis and reports, and mobile data access.QlikView for Developers Cookbook builds on your initial training and experiences with QlikView to help you become a better developer. This book features plenty of hands-on examples of many challenging functions.Assuming a basic understanding of QlikView development, this book provides a range of step-by-step exercises to teach you different subjects to help build your QlikView developer expertise.From advanced charting and layout to set analysis; from advanced aggregations through to scripting, performance, and security, this book will cover all the areas that you need to know about.The recipes in this book will give you a lot of the information that you need to become an excellent QlikView developer.
Clean Code in JavaScript. Develop reliable, maintainable, and robust JavaScript
Building robust apps starts with creating clean code. In this book, you’ll explore techniques for doing this by learning everything from the basics of JavaScript through to the practices of clean code. You’ll write functional, intuitive, and maintainable code while also understanding how your code affects the end user and the wider community.The book starts with popular clean-coding principles such as SOLID, and the Law of Demeter (LoD), along with highlighting the enemies of writing clean code such as cargo culting and over-management. You’ll then delve into JavaScript, understanding the more complex aspects of the language. Next, you’ll create meaningful abstractions using design patterns, such as the Class Pattern and the Revealing Module Pattern. You’ll explore real-world challenges such as DOM reconciliation, state management, dependency management, and security, both within browser and server environments. Later, you’ll cover tooling and testing methodologies and the importance of documenting code. Finally, the book will focus on advocacy and good communication for improving code cleanliness within teams or workplaces, along with covering a case study for clean coding.By the end of this book, you’ll be well-versed with JavaScript and have learned how to create clean abstractions, test them, and communicate about them via documentation.
Sitecore Cookbook for Developers. Click here to enter text
Patel Y Sunderbhai, Yogesh Patel
This book will get you started on building rich websites, and customizing user interfaces by creating content management applications quickly. It will give you an insight into web designs and how to customize the Sitecore architecture as per your website's requirements using best practices. Packed with over 70 recipes to help you achieve and solve real-world common tasks, requirements, and the problems of content management, content delivery, and publishing instance environments. It also presents recipes on Sitecore’s backend processes of customizing pipelines, creating custom event handler and media handler, setting hooks and more. Other topics covered include creating a workflow action, publishing sublayouts and media files, securing your environment by customizing user profiles and access rights, boosting search capabilities, optimising performance, scalability and high-availability of Sitecore instances and much more. By the end of this book, you will have be able to add virtually limitless features to your websites by developing and deploying Sitecore efficiently.
Dick Weisinger, Richard B Weisinger, Alfresco.com
The Alfresco Records Management feature set is so complete that it is one of the very limited number of systems, and the only Open Source solution, that has been fully certified for Records Management use by the US Department of Defense. Record keeping is important because accurate records are really the only way that organizations can demonstrate compliance with regulatory requirements. The amount of regulation that organizations must comply with has gone up dramatically over the last decade, and the complexity of record management has increased proportionally.Alfresco 3 Records Management is a complete guide for setting up records programs within organizations. The book is the first and only one that describes Alfresco's implementation of Records Management. It not only teaches the technology for implementing Records Management, but also discusses the important roles that both processes and people play in the building of a successful records program.Alfresco 3 Records Management starts with a description of the importance of record keeping, especially from a regulatory compliance perspective. It then discusses Records Management best practices and standards, and goes on to describe step by step how to identify documents that need to be managed as records, how to use Alfresco Records Management software to set up the File Plan structure for organizing the storage of records, and then how to manage the lifecycle of the records.The book provides detailed instructions for installing and configuring Alfresco Records Management. The topics covered include setting up a record File Plan, filing records, establishing record retention schedules, setting up security and permissions, assigning metadata, extending the content model, using advanced search techniques, and creating system activity audit reports. The book also provides deep-dive information from a developer's perspective about how the Records Management module was implemented within the Alfresco Share platform.Alfresco 3 Records Management covers features available in both the Community and Enterprise versions of Alfresco software. By the end of this book, you will be able to successfully develop a records policy and implement it within Alfresco Records Management.
Plenty of small businesses face big amounts of data but lack the internal skills to support quantitative analysis. Understanding how to harness the power of data analysis using the latest open source technology can lead them to providing better customer service, the visualization of customer needs, or even the ability to obtain fresh insights about the performance of previous products. Practical Data Analysis is a book ideal for home and small business users who want to slice and dice the data they have on hand with minimum hassle.Practical Data Analysis is a hands-on guide to understanding the nature of your data and turn it into insight. It will introduce you to the use of machine learning techniques, social networks analytics, and econometrics to help your clients get insights about the pool of data they have at hand. Performing data preparation and processing over several kinds of data such as text, images, graphs, documents, and time series will also be covered.Practical Data Analysis presents a detailed exploration of the current work in data analysis through self-contained projects. First you will explore the basics of data preparation and transformation through OpenRefine. Then you will get started with exploratory data analysis using the D3js visualization framework. You will also be introduced to some of the machine learning techniques such as, classification, regression, and clusterization through practical projects such as spam classification, predicting gold prices, and finding clusters in your Facebook friends' network. You will learn how to solve problems in text classification, simulation, time series forecast, social media, and MapReduce through detailed projects. Finally you will work with large amounts of Twitter data using MapReduce to perform a sentiment analysis implemented in Python and MongoDB. Practical Data Analysis contains a combination of carefully selected algorithms and data scrubbing that enables you to turn your data into insight.