A fast, fresh, developer-oriented dive into the world of Apache Mahout :
Apache Mahout Cookbook uses over 35 recipes packed with illustrations and real-world examples to help beginners as well as advanced programmers get acquainted with the features of Mahout."Apache Mahout Cookbook" is great for developers who want to have a fresh and fast introduction to Mahout coding. No previous knowledge of Mahout is required, and even skilled developers or system administrators will benefit from the various recipes presented
Author/Authors: Giacomelli, Piero
Pages: 250 | Published Date: 41634
Category: Data
Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout :
If you are a Java developer or data scientist, haven't worked with Apache Mahout before, and want to get up to speed on implementing machine learning on big data, then this is the perfect guide for you.
Author/Authors: Withanawasam, Jayani
Pages: 164 | Published Date: 42174
Category: Data
Over 50 recipes on the core features of Apache Mesos and running big data frameworks in Mesos :
This book is for system administrators, engineers, and big data programmers. Basic experience with big data technologies such as Hadoop or Spark would be useful but is not essential. A working knowledge of Apache Mesos is expected.
Author/Authors: Blomquist, David | Janiszewski, Tomasz
Pages: 146 | Published Date: 42949
Category: Data
Building next-generation web applications with JSF and Facelets :
The book is written as a step-by-step, example-driven tutorial designed to be worked through step by step working on the example code as you learn. A fun example scenario is used throughout the book and of course all source code is available to download from the author's web site. The book is packed with tips and tricks, based on experience with MyFaces in real-life projects. This book is intended for Java developers who want to develop web frontends for their enterprise applications using Apache MyFaces as JSF implementation. Some basic knowledge of JSF is expected.
Author/Authors: Kummel, Bart
Pages: 408 | Published Date: 40239
Category: Business & Other
Develop JSF web applications with Trinidad and Seam :
The book is a hands-on practical guide that stresses the discussion of code and builds up a sample application that illustrates all the standard UI types covered by Trinidad.This book is written for Java developers who are beginners at JSF and experienced web developers who are looking for an introduction into the world of open source JSF technology.
Author/Authors: Thomas, David
Pages: 292 | Published Date: 40127
Category: Business & Other
Over 60 simple but incredibly effective recipes for taking control of OFBiz :
The best way to experience OFBiz is to dive right in and start "kicking the tires". No matter if you are an end user exploring the out-of-the-box e-commerce web store or a software developer getting ready to build a new application, you will find, eventually, that you perform the same tasks over and over again. This book is designed as a reference to guide you though those oft-encountered OFBiz tasks. It is a collection of recipes, not necessarily in any particular order of importance, that address and give answers to many of the real-world questions asked about how to do things with OFBiz. If you are an OFBiz user who has some familiarity with enterprise software systems, and perhaps more importantly, Internet and Web exposure, you will be able to glean useful information from this book. You will need only basic knowledge of modern browser behavior (for example: how to click a mouse button) to follow some recipes, while others assume a passing familiarity with a text-editor and XML documents. If you are a software developer looking for Java and/or Groovy examples, this book also includes a chapter on Java software development.
Author/Authors: Hoffman, Ruth
Pages: 300 | Published Date: 40428
Category: Programming
Using Services, Entities, and Widgets to build custom ERP and CRM systems :
This book focuses on teaching by example. Every chapter provides a bit of an overview, and then dives right in to hands-on examples so you can see and play with the solution in your own environment. All code samples run on both the latest Enterprise and Labs release. This book will be most useful to developers who are writing code to customize Alfresco for their organization or who are creating custom applications that sit on top of Alfresco. This book is for Java developers, and you will get most from the book if you already work with Java but you need not have prior experience on Alfresco. Although Alfresco makes heavy use of open source frameworks such as Spring, Hibernate, JavaServer Faces, and Lucene, no prior experience using these is assumed or necessary.
Author/Authors: Wong, Jonathon | Howell, Rupert |
Pages: 472 | Published Date: 39752
Category: Business & Other
Unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go :
Unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go About This Book • Teaches you everything you need to know to get started with Apache Oozie from scratch and manage your data pipelines effortlessly • Learn to write data ingestion workflows with the help of real-life examples from the author’s own personal experience • Embed Spark jobs to run your machine learning models on top of Hadoop Who This Book Is For If you are an expert Hadoop user who wants to use Apache Oozie to handle workflows efficiently, this book is for you. This book will be handy to anyone who is familiar with the basics of Hadoop and wants to automate data and machine learning pipelines. What You Will Learn • Install and configure Oozie from source code on your Hadoop cluster • Dive into the world of Oozie with Java MapReduce jobs • Schedule Hive ETL and data ingestion jobs • Import data from a database through Sqoop jobs in HDFS • Create and process data pipelines with Pig, hive scripts as per business requirements. • Run machine learning Spark jobs on Hadoop • Create quick Oozie jobs using Hue • Make the most of Oozie’s security capabilities by configuring Oozie’s security In Detail As more and more organizations are discovering the use of big data analytics, interest in platforms that provide storage, computation, and analytic capabilities is booming exponentially. This calls for data management. Hadoop caters to this need. Oozie fulfils this necessity for a scheduler for a Hadoop job by acting as a cron to better analyze data. Apache Oozie Essentials starts off with the basics right from installing and configuring Oozie from source code on your Hadoop cluster to managing your complex clusters. You will learn how to create data ingestion and machine learning workflows. This book is sprinkled with the examples and exercises to help you take your big data learning to the next level. You will discover how to write workflows to run your MapReduce, Pig ,Hive, and Sqoop scripts and schedule them to run at a specific time or for a specific business requirement using a coordinator. This book has engaging real-life exercises and examples to get you in the thick of things. Lastly, you’ll get a grip of how to embed Spark jobs, which can be used to run your machine learning models on Hadoop. By the end of the book, you will have a good knowledge of Apache Oozie. You will be capable of using Oozie to handle large Hadoop workflows and even improve the availability of your Hadoop environment. Style and approach This book is a hands-on guide that explains Oozie using real-world examples. Each chapter is blended beautifully with fundamental concepts sprinkled in-between case study solution algorithms and topped off with self-learning exercises.
Author/Authors: Singh, Jagat Jasjit
Pages: 164 | Published Date: 42349
Category: Data
Enhance your search with faceted navigation, result highlighting, relevancy ranked sorting, and more :
The book is written as a reference guide. It includes fully working examples based on a real-world public data set. This book is for developers who want to learn how to use Apache Solr in their applications. Only basic programming skills are needed.
Author/Authors: Smiley, David | Pugh, Eric
Pages: 418 | Published Date: 40857
Category: Data
Over 100 recipes to discover new ways to work with Apache’s Enterprise Search :
This book is part of Packt's Cookbook series; each chapter looks at a different aspect of working with Apache Solr. The recipes deal with common problems of working with Solr by using easy-to-understand, real-life examples. The book is not in any way a complete Apache Solr reference and you should see it as a helping hand when things get rough on your journey with Apache Solr. Developers who are working with Apache Solr and would like to know how to combat common problems will find this book of great use. Knowledge of Apache Lucene would be a bonus but is not required.
Author/Authors: Kuc, Rafal
Pages: 300 | Published Date: 40746
Category: Data
Over 100 practical recipes to make Apache Solr faster, more reliable and return better results :
"Apache Solr 4 Cookbook" is written in a helpful, practical style with numerous hands-on recipes to help you master Apache Solr to get more precise search results and analysis, higher performance, and reliability. This book is for developers who wish to learn how to master Apache Solr 4. This book will specifically appeal to developers who wish to quickly get to grips with the changes and new features of Apache Solr 4. This book is also handy as a practical guide to solving common problems and issues when using Apache Solr.
Author/Authors: Kuć, Rafał
Pages: 328 | Published Date: 41299
Category: Data
Configure your own search engine experience with real-world data with this practical guide to Apache Solr :
Written in a friendly, example-driven format, the book includes plenty of step-by-step instructions and examples that are designed to help you get started with Apache Solr.This book is an entry level text into the wonderful world of Apache Solr. The book will center around a couple of simple projects such as setting up Solr and all the stuff that comes with customizing the Solr schema and configuration. This book is for developers looking to start using Apache Solr who are stuck or intimidated by the difficulty of setting it up and using it.For anyone wanting to embed a search engine in their site to help users navigate around the mammoth data available this book is an ideal starting point. Moreover, if you are a data architect or a project manager and want to make some key design decisions, you will find that every example included in the book contains ideas usable in real-world contexts.
Author/Authors: Serafini, Alfredo
Pages: 324 | Published Date: 41634
Category: Data
Enhance your searches with faceted navigation, result highlighting, relevancy-ranked sorting, and much more with this comprehensive guide to Apache Solr 4 :
This book is for developers who want to learn how to get the most out of Solr in their applications, whether you are new to the field, have used Solr but don't know everything, or simply want a good reference. It would be helpful to have some familiarity with basic programming concepts, but no prior experience is required.
Author/Authors: Smiley, David | Pugh, Eric | Parisa, Kranti
Pages: 432 | Published Date: 42150
Category: Data
Leverage the power of Apache Solr to create efficient search applications :
If you are a competent developer with experience of working with technologies similar to Apache Solr and want to develop efficient search applications, then this book is for you. Familiarity with the Java programming language is required.
Author/Authors: Gazzarini, Andrea
Pages: 214 | Published Date: 42061
Category: Data
Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr :
Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr About This Book • Learn about distributed indexing and real-time optimization to change index data on fly • Index data from various sources and web crawlers using built-in analyzers and tokenizers • This step-by-step guide is packed with real-life examples on indexing data Who This Book Is For This book is for developers who want to increase their experience of indexing in Solr by learning about the various index handlers, analyzers, and methods available in Solr. Beginner level Solr development skills are expected. What You Will Learn • Get to know the basic features of Solr indexing and the analyzers/tokenizers available • Index XML/JSON data in Solr using the HTTP Post tool and CURL command • Work with Data Import Handler to index data from a database • Use Apache Tika with Solr to index word documents, PDFs, and much more • Utilize Apache Nutch and Solr integration to index crawled data from web pages • Update indexes in real-time data feeds • Discover techniques to index multi-language and distributed data in Solr • Combine the various indexing techniques into a real-life working example of an online shopping web application In Detail Apache Solr is a widely used, open source enterprise search server that delivers powerful indexing and searching features. These features help fetch relevant information from various sources and documentation. Solr also combines with other open source tools such as Apache Tika and Apache Nutch to provide more powerful features. This fast-paced guide starts by helping you set up Solr and get acquainted with its basic building blocks, to give you a better understanding of Solr indexing. You’ll quickly move on to indexing text and boosting the indexing time. Next, you’ll focus on basic indexing techniques, various index handlers designed to modify documents, and indexing a structured data source through Data Import Handler. Moving on, you will learn techniques to perform real-time indexing and atomic updates, as well as more advanced indexing techniques such as de-duplication. Later on, we’ll help you set up a cluster of Solr servers that combine fault tolerance and high availability. You will also gain insights into working scenarios of different aspects of Solr and how to use Solr with e-commerce data. By the end of the book, you will be competent and confident working with indexing and will have a good knowledge base to efficiently program elements. Style and approach This fast-paced guide is packed with examples that are written in an easy-to-follow style, and are accompanied by detailed explanation. Working examples are included to help you get better results for your applications.
Author/Authors: Handiekar, Sachin | Johri, Anshul
Pages: 160 | Published Date: 42366
Category: Data
Build a fully-featured and scalable search application using PHP to unlock the search functions provided by Solr :
This book is full of step-by-step example-oriented tutorials which will show readers how to integrate Solr in PHP applications using the available libraries, and boost the inherent search facilities that Solr offers.If you are a developer who knows PHP and is interested in integrating search into your applications, this is the book for you. No advanced knowledge of Solr is required. Very basic knowledge of system commands and the command-line interface on both Linux and Windows is required. You should also be familiar with the concept of Web servers.
Author/Authors: Kumar, Jayant
Pages: 118 | Published Date: 41603
Category: Data
Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently :
This book is for developers who already know how to use Solr and are looking at procuring advanced strategies for improving their search using Solr. This book is also for people who work with analytics to generate graphs and reports using Solr. Moreover, if you are a search architect who is looking forward to scale your search using Solr, this is a must have book for you. It would be helpful if you are familiar with the Java programming language.
Author/Authors: Kumar, Jayant
Pages: 316 | Published Date: 42118
Category: Data
Develop large-scale distributed data processing applications using Spark 2 in Scala and Python :
If you are an application developer, data scientist, or big data solutions architect who is interested in combining the data processing power of Spark from R, and consolidating data processing, stream processing, machine learning, and graph processing into one unified and highly interoperable framework with a uniform API using Scala or Python, this book is for you.
Author/Authors: Thottuvaikkatumana, Rajanarayanan
Pages: 332 | Published Date: 42649
Category: Data
Over 70 recipes to help you use Apache Spark as your single big data computing platform and master its libraries :
This book is for data engineers, data scientists, and those who want to implement Spark for real-time data processing. Anyone who is using Spark (or is planning to) will benefit from this book. The book assumes you have a basic knowledge of Scala as a programming language.
Author/Authors: Yadav, Rishi
Pages: 294 | Published Date: 42886
Category: Data
Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java :
If you are a Java developer interested in learning to use the popular Apache Spark framework, this book is the resource you need to get started. Apache Spark developers who are looking to build enterprise-grade applications in Java will also find this book very useful.
Author/Authors: Gulati, Sourav | Kumar, Sumit
Pages: 350 | Published Date: 42942
Category: Data