Key Features Install and configure PRD in Linux and Windows Create complex reports using relational data sources Produce reports with groups, aggregate functions, parameters, graphics, and sparklines Install and configure Pentaho BI Server to execute PRD reports Create and publish your own Java web application with parameterized reports and an interactive user interface Book DescriptionOpen source reporting tools and techniques, such as PRD, have been comparable in quality to their commercial counterparts this is largely due to the market's marked tendency to choose open source solutions. PRD is a very powerful tool and in order to take full advantage of it you need to pay attention to the important details. Pentaho 5.0 Reporting by Example: Beginner's Guide clearly explains the the foundation and then puts those concepts into practice through step-by-step visual guides. Feeling confident with your newly discovered, desirable, skill you will have the power to create your very own professional reports including graphics, formulas, sub-reports and many other forms of data reporting.Pentaho 5.0 Reporting By Example: Beginner's Guide is a step-by-step guide to create high quality, professional reports. Starting with the basics we will explore each feature to ensure a thorough understanding to peel back the curtain and take full advantage of the power that Pentaho puts at our fingertips. This book gives you the necessary resources to create a great variety of reports. You will be able to make reports that contain sub-reports, include graphics, sparklines and so on. You will also be able to parameterize your reports so that the final user can decide what information to visualize. You will be able to create your own stoplight type indicators and drill down in your reports. and execute your reports from your own web application. Pentaho 5.0 Reporting By Example: Beginner's Guide lets you learn everything necessary to work seriously with one of the world's most popular open source reporting tools. This book will guide you chapter by chapter through examples, graphics, and theoretical explanations so that you feel comfortable interacting with Pentaho Report Designer and creating your own reports.What you will learn Download, configure, and install Pentaho Report Designer Create your own data sources or insertable objects that can use them Produce reports with different hierarchical levels and create aggregate functions to calculate totals and sub-totals Use parameters in your reports to enable the user to interact directly with your report Generate your own sub-reports and add graphics and sparklines Create reports with the capacity to drill down Publish and execute your reports on the Pentaho BI Server Produce reports that use session variables such as user, role, to vary their content Develop your own Java web application to execute your reports. Who this book is for Pentaho 5.0 By Example: Beginner's Guide is the ideal companion for a wide-variety of developers. Whether you are new to the world of Business Intelligence reporting, or an experienced BI analyst, this book will guide you through the creation of your first reports in Pentaho. We assume some knowledge of the SQL language and database systems.

Your all-in-one resource for using Pentaho with MySQL forBusiness Intelligence and Data Warehousing Open-source Pentaho provides business intelligence (BI) and datawarehousing solutions at a fraction of the cost of proprietarysolutions. Now you can take advantage of Pentaho for your businessneeds with this practical guide written by two major participantsin the Pentaho community. The book covers all components of the Pentaho BI Suite. You'lllearn to install, use, and maintain Pentaho-and find plenty ofbackground discussion that will bring you thoroughly up to speed onBI and Pentaho concepts. Of all available open source BI products, Pentaho offers themost comprehensive toolset and is the fastest growing open sourceproduct suite Explains how to build and load a data warehouse with PentahoKettle for data integration/ETL, manually create JFree (pentahoreporting services) reports using direct SQL queries, and createMondrian (Pentaho analysis services) cubes and attach them to aJPivot cube browser Review deploying reports, cubes and metadata to the Pentahoplatform in order to distribute BI solutions to end-users Shows how to set up scheduling, subscription and automaticdistribution The companion Web site provides complete source code examples,sample data, and links to related resources.

Get productive quickly with Pentaho Data Integration Key Features Take away the pain of starting with a complex and powerful system Simplify your data transformation and integration work Explore, transform, and validate your data with Pentaho Data Integration Book Description Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag and drop design and powerful Extract-Transform-Load (ETL) capabilities. Given its power and flexibility, initial attempts to use the Pentaho Data Integration tool can be difficult or confusing. This book is the ideal solution. This book reduces your learning curve with PDI. It provides the guidance needed to make you productive, covering the main features of Pentaho Data Integration. It demonstrates the interactive features of the graphical designer, and takes you through the main ETL capabilities that the tool offers. By the end of the book, you will be able to use PDI for extracting, transforming, and loading the types of data you encounter on a daily basis. What you will learn Design, preview and run transformations in Spoon Run transformations using the Pan utility Understand how to obtain data from different types of files Connect to a database and explore it using the database explorer Understand how to transform data in a variety of ways Understand how to insert data into database tables Design and run jobs for sequencing tasks and sending emails Combine the execution of jobs and transformations Who this book is for This book is for software developers, business intelligence analysts, and others involved or interested in developing ETL solutions, or more generally, doing any kind of data manipulation.

This is a Cookbook with easy-to-follow recipes, containing practical and detailed examples which are all fully backed up with code, illustrations, and tips to dig deep into Backbone.js.This book is great for JavaScript developers who want to learn how to build advanced frontend applications with the Backbone.js framework. This book can be used in educational institutions to teach students how to build frontend applications in an MVC manner.It's assumed that you have some experience in jQuery, and are familiar with HTML.

A complete guide to Pentaho Kettle, the Pentaho Data lntegration toolset for ETL This practical book is a complete guide to installing, configuring, and managing Pentaho Kettle. If you’re a database administrator or developer, you’ll first get up to speed on Kettle basics and how to apply Kettle to create ETL solutions—before progressing to specialized concepts such as clustering, extensibility, and data vault models. Learn how to design and build every phase of an ETL solution. Shows developers and database administrators how to use the open-source Pentaho Kettle for enterprise-level ETL processes (Extracting, Transforming, and Loading data) Assumes no prior knowledge of Kettle or ETL, and brings beginners thoroughly up to speed at their own pace Explains how to get Kettle solutions up and running, then follows the 34 ETL subsystems model, as created by the Kimball Group, to explore the entire ETL lifecycle, including all aspects of data warehousing with Kettle Goes beyond routine tasks to explore how to extend Kettle and scale Kettle solutions using a distributed “cloud” Get the most out of Pentaho Kettle and your data warehousing with this detailed guide—from simple single table data migration to complex multisystem clustered data integration tasks.

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

Every enterprise application creates data, whether it’s log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you’ll learn Kafka’s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. Understand publish-subscribe messaging and how it fits in the big data ecosystem. Explore Kafka producers and consumers for writing and reading messages Understand Kafka patterns and use-case requirements to ensure reliable data delivery Get best practices for building data pipelines and applications with Kafka Manage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasks Learn the most critical metrics among Kafka’s operational measurements Explore how Kafka’s stream delivery capabilities make it a perfect source for stream processing systems