2015, ISBN: 9780205316922

Shroff Publishers/Packt, 2010. Softcover. New. 17 x 22 cm. Build, administer, and customize an online store using Drupal with Ubercart Create a powerful e-shop using the award-wi… mais…

Shroff Publishers/Packt, 2010. Softcover. New. 17 x 22 cm. Build, administer, and customize an online store using Drupal with Ubercart Create a powerful e-shop using the award-winning CMS Drupal and the robust e-commerce module Ubercart Create and manage the product catalog and insert products in manual or batch mode Apply SEO (search engine optimization) to your e-shop and adopt turn-key internet marketing techniques Implement advanced techniques like cross-selling, product comparison, coupon codes, and segmented pricing A step-by-step tutorial with an example-oriented approach with many screenshots to guide you through the book seamlessly In Detail Ubercart is an exciting open source e-commerce package that fully integrates your online store with Drupal. Ubercart leverages the advantages of Drupal`s major core and contributed systems, providing your users with shopping cart functionality that integrates with other parts of your company or community web site. It can be used to sell shippable goods, downloadable products, recurring memberships, and event tickets, and to enable complex interactions with Drupal through various add-on contributions. This book guides you through the process of creating, administrating and marketing an online store, providing information and tips for raising your sales and your customer support. It will also show you how to maintain and add advanced capabilities to your company`s eShop. If you are a merchant wanting to invest your precious time to update the online presence of your company, or a web site designer wanting to expand your business and offer innovative solutions to your clients, this book has been written for you. You don`t need any programming experience to install and customize your electronic store. The procedure is well structured and easy and all we ask you to do is to follow some simple steps in order to complete some specific tasks in each chapter. The book will guide you through the installation and configuration of Drupal and Ubercart. From there it will cover specific areas like managing orders, customizing the frontend and user interface. At the end it covers the advanced topics of internet marketing techniques and Search Engine Optimization. When you reach the end of the book, you`ll have a working store and you`ll have obtained all the required knowledge to customize it to your specific needs. What you will learn from this book Organize your store catalog with categories and subcategories, or with user generated free tagging to use the power of folksonomy. Create products and product kits with a plethora of available information and multiple attributes. Skip the time-consuming process of manually importing products by directly transferring from information from external files. Create shipping quotes and connect your store with the biggest transport companies, like UPS or the United States Postal Service. Create and manage simple or more complex tax rates. Learn how to accept payments in as many ways as possible, and connect your store with payment gateways like Paypal or Google Checkout. Manage your orders and your customers. Integrate with CiviCRM and put the customer at the heart of your business. Track your store activities and sales and generate useful reports. Use newsletters, forums, twitter, and corporate blogging to create a community around your products. Transform any template or design in an Ubercart Theme and create a unique frontend. Make your store more competitive and suggest new products to your clients with product recommendation systems, or cross-selling. Enhance the user interface, improve the shopping cart, and manage prices and discounts. Use Search Engine Optimization and Internet Marketing techniques to boost your traffic, but learn at the same time how to improve the performan Printed Pages: 372. Drupal e-commerce with Ubercart 2.x: Build, administer, and customize an online store using Drupal with UbercartGeorge Papadongonas,Yiannis Doxaras9789350231425, Shroff Publishers/Packt, 2010, Shroff Publishers/Packt, 2010. Softcover. New. 17 x 22 cm. Build, administer, and customize an online store using Drupal with Ubercart Create a powerful e-shop using the award-winning CMS Drupal and the robust e-commerce module Ubercart Create and manage the product catalog and insert products in manual or batch mode Apply SEO (search engine optimization) to your e-shop and adopt turn-key internet marketing techniques Implement advanced techniques like cross-selling, product comparison, coupon codes, and segmented pricing A step-by-step tutorial with an example-oriented approach with many screenshots to guide you through the book seamlessly In Detail Ubercart is an exciting open source e-commerce package that fully integrates your online store with Drupal. Ubercart leverages the advantages of Drupal`s major core and contributed systems, providing your users with shopping cart functionality that integrates with other parts of your company or community web site. It can be used to sell shippable goods, downloadable products, recurring memberships, and event tickets, and to enable complex interactions with Drupal through various add-on contributions. This book guides you through the process of creating, administrating and marketing an online store, providing information and tips for raising your sales and your customer support. It will also show you how to maintain and add advanced capabilities to your company`s eShop. If you are a merchant wanting to invest your precious time to update the online presence of your company, or a web site designer wanting to expand your business and offer innovative solutions to your clients, this book has been written for you. You don`t need any programming experience to install and customize your electronic store. The procedure is well structured and easy and all we ask you to do is to follow some simple steps in order to complete some specific tasks in each chapter. The book will guide you through the installation and configuration of Drupal and Ubercart. From there it will cover specific areas like managing orders, customizing the frontend and user interface. At the end it covers the advanced topics of internet marketing techniques and Search Engine Optimization. When you reach the end of the book, you`ll have a working store and you`ll have obtained all the required knowledge to customize it to your specific needs. What you will learn from this book Organize your store catalog with categories and subcategories, or with user generated free tagging to use the power of folksonomy. Create products and product kits with a plethora of available information and multiple attributes. Skip the time-consuming process of manually importing products by directly transferring from information from external files. Create shipping quotes and connect your store with the biggest transport companies, like UPS or the United States Postal Service. Create and manage simple or more complex tax rates. Learn how to accept payments in as many ways as possible, and connect your store with payment gateways like Paypal or Google Checkout. Manage your orders and your customers. Integrate with CiviCRM and put the customer at the heart of your business. Track your store activities and sales and generate useful reports. Use newsletters, forums, twitter, and corporate blogging to create a community around your products. Transform any template or design in an Ubercart Theme and create a unique frontend. Make your store more competitive and suggest new products to your clients with product recommendation systems, or cross-selling. Enhance the user interface, improve the shopping cart, and manage prices and discounts. Use Search Engine Optimization and Internet Marketing techniques to boost your traffic, but learn at the same time how to improve the performan Printed Pages: 372., Shroff Publishers/Packt, 2010, Wiley India Pvt. Ltd, 2015. Softcover. New. This book is a comprehensive coverage on the concepts and practice of Big Data, Hadoop and Analytics. From the Do It Yourself steps and guidelines to set up a Hadoop Cluster to the deeper understanding of concepts and ample time-tested hands-on practice exercises on the concepts learned, this one book has it all! Big Data and Analytics is a term used for massive mounds of structured, semi-structured and unstructured data that has the potential to be mined for information.Chapter 1 Types of Digital Data 1.1 Classification of Digital Data Chapter 2 Introduction to Big Data 2.1 Characteristics of Data 2.2 Evolution of Big Data 2.3 Definition of Big Data 2.4 Challenges with Big Data 2.5 What is Big Data? 2.6 Other Characteristics of Data Which are not Definitional Traits of Big Data 2.7 Why Big Data? 2.8 Are We Just an Information Consumer or Do we also Produce Information? 2.9 Traditional Business Intelligence (BI) versus Big Data 2.10 A Typical Data Warehouse Environment 2.11 A Typical Hadoop Environment 2.12 What is New Today? 2.13 What is changing in the Realms of Big Data? Chapter 3 Big Data Analytics 3.1 Where do we Begin? 3.2 What is Big Data Analytics? 3.3 What Big Data Analytics Isn’t? 3.4 Why this Sudden Hype Around Big Data Analytics? 3.5 Classification of Analytics 3.6 Greatest Challenges that Prevent Businesses from Capitalizing on Big Data 3.7 Top Challenges Facing Big Data 3.8 Why is Big Data Analytics Important? 3.9 What Kind of Technologies are we looking Toward to Help Meet the Challenges Posed by Big Data? 3.10 Data Science 3.11 Data Scientist…Your New Best Friend!!! 3.12 Terminologies Used in Big Data Environments 3.13 Basically Available Soft State Eventual Consistency (BASE) 3.14 Few Top Analytics Tools Chapter 4 The Big Data Technology Landscape 4.1 NoSQL (Not Only SQL) 4.2 Hadoop Chapter 5 Introduction to Hadoop 5.1 Introducing Hadoop 5.2 Why Hadoop? 5.3 Why not RDBMS? 5.4 RDBMS versus Hadoop 5.5 Distributed Computing Challenges 5.6 History of Hadoop 5.7 Hadoop Overview 5.8 Use Case of Hadoop 5.9 Hadoop Distributors 5.10 HDFS (Hadoop Distributed File System) 5.11 Processing Data with Hadoop 5.12 Managing Resources and Applications with Hadoop YARN (Yet another Resource Negotiator) 5.13 Interacting with Hadoop Ecosystem Chapter 6 Introduction to MongoDB 6.1 What is MongoDB? 6.2 Why MongoDB? 6.3 Terms Used in RDBMS and MongoDB 6.4 Data Types in MongoDB 6.5 MongoDB Query Language Chapter 7 Introduction to Cassandra 7.1 Apache Cassandra - An Introduction 7.2 Features of Cassandra 7.3 CQL Data Types 7.4 CQLSH 7.5 Keyspaces 7.6 CRUD (Create, Read, Update and Delete) Operations 7.7 Collections 7.8 Using a Counter 7.9 Time to Live (TTL) 7.10 Alter Commands 7.11 Import and Export 7.12 Querying System Tables 7.13 Practice Examples Chapter 8 Introduction to MAPREDUCE Programming 8.1 Introduction 8.2 Mapper 8.3 Reducer 8.4 Combiner 8.5 Partitioner 8.6 Searching 8.7 Sorting 8.8 Compression Chapter 9 Introduction to Hive 9.1 What is Hive? 9.2 Hive Architecture 9.3 Hive Data Types 9.4 Hive File Format 9.5 Hive Query Language (HQL) 9.6 RCFile Implementation 9.7 SerDe 9.8 User-Defined Function (UDF) Chapter 10 Introduction to Pig 10.1 What is Pig? 10.2 The Anatomy of Pig 10.3 Pig on Hadoop 10.4 Pig Philosophy 10.5 Use Case for Pig: ETL Processing 10.6 Pig Latin Overview 10.7 Data Types in Pig 10.8 Running Pig 10.9 Execution Modes of Pig 10.10 HDFS Commands 10.11 Relational Operators 10.12 Eval Function 10.13 Complex Data Types 10.14 Piggy Bank 10.15 User-Defined Functions (UDF) 10.16 Parameter Substitution 10.17 Diagnostic Operator 10.18 Word Count Example using Pig 10.19 When to use Pig? 10.20 When not to use Pig? 10.21 Pig at Yahoo! 10.22 Pig versus Hive Chapter 11 Jasper Report us Printed Pages: 356., Wiley India Pvt. Ltd, 2015, Wiley India Pvt. Ltd, 2015. Softcover. New. This book is a comprehensive coverage on the concepts and practice of Big Data, Hadoop and Analytics. From the Do It Yourself steps and guidelines to set up a Hadoop Cluster to the deeper understanding of concepts and ample time-tested hands-on practice exercises on the concepts learned, this one book has it all! Big Data and Analytics is a term used for massive mounds of structured, semi-structured and unstructured data that has the potential to be mined for information.Chapter 1 Types of Digital Data 1.1 Classification of Digital Data Chapter 2 Introduction to Big Data 2.1 Characteristics of Data 2.2 Evolution of Big Data 2.3 Definition of Big Data 2.4 Challenges with Big Data 2.5 What is Big Data? 2.6 Other Characteristics of Data Which are not Definitional Traits of Big Data 2.7 Why Big Data? 2.8 Are We Just an Information Consumer or Do we also Produce Information? 2.9 Traditional Business Intelligence (BI) versus Big Data 2.10 A Typical Data Warehouse Environment 2.11 A Typical Hadoop Environment 2.12 What is New Today? 2.13 What is changing in the Realms of Big Data? Chapter 3 Big Data Analytics 3.1 Where do we Begin? 3.2 What is Big Data Analytics? 3.3 What Big Data Analytics Isn’t? 3.4 Why this Sudden Hype Around Big Data Analytics? 3.5 Classification of Analytics 3.6 Greatest Challenges that Prevent Businesses from Capitalizing on Big Data 3.7 Top Challenges Facing Big Data 3.8 Why is Big Data Analytics Important? 3.9 What Kind of Technologies are we looking Toward to Help Meet the Challenges Posed by Big Data? 3.10 Data Science 3.11 Data Scientist…Your New Best Friend!!! 3.12 Terminologies Used in Big Data Environments 3.13 Basically Available Soft State Eventual Consistency (BASE) 3.14 Few Top Analytics Tools Chapter 4 The Big Data Technology Landscape 4.1 NoSQL (Not Only SQL) 4.2 Hadoop Chapter 5 Introduction to Hadoop 5.1 Introducing Hadoop 5.2 Why Hadoop? 5.3 Why not RDBMS? 5.4 RDBMS versus Hadoop 5.5 Distributed Computing Challenges 5.6 History of Hadoop 5.7 Hadoop Overview 5.8 Use Case of Hadoop 5.9 Hadoop Distributors 5.10 HDFS (Hadoop Distributed File System) 5.11 Processing Data with Hadoop 5.12 Managing Resources and Applications with Hadoop YARN (Yet another Resource Negotiator) 5.13 Interacting with Hadoop Ecosystem Chapter 6 Introduction to MongoDB 6.1 What is MongoDB? 6.2 Why MongoDB? 6.3 Terms Used in RDBMS and MongoDB 6.4 Data Types in MongoDB 6.5 MongoDB Query Language Chapter 7 Introduction to Cassandra 7.1 Apache Cassandra - An Introduction 7.2 Features of Cassandra 7.3 CQL Data Types 7.4 CQLSH 7.5 Keyspaces 7.6 CRUD (Create, Read, Update and Delete) Operations 7.7 Collections 7.8 Using a Counter 7.9 Time to Live (TTL) 7.10 Alter Commands 7.11 Import and Export 7.12 Querying System Tables 7.13 Practice Examples Chapter 8 Introduction to MAPREDUCE Programming 8.1 Introduction 8.2 Mapper 8.3 Reducer 8.4 Combiner 8.5 Partitioner 8.6 Searching 8.7 Sorting 8.8 Compression Chapter 9 Introduction to Hive 9.1 What is Hive? 9.2 Hive Architecture 9.3 Hive Data Types 9.4 Hive File Format 9.5 Hive Query Language (HQL) 9.6 RCFile Implementation 9.7 SerDe 9.8 User-Defined Function (UDF) Chapter 10 Introduction to Pig 10.1 What is Pig? 10.2 The Anatomy of Pig 10.3 Pig on Hadoop 10.4 Pig Philosophy 10.5 Use Case for Pig: ETL Processing 10.6 Pig Latin Overview 10.7 Data Types in Pig 10.8 Running Pig 10.9 Execution Modes of Pig 10.10 HDFS Commands 10.11 Relational Operators 10.12 Eval Function 10.13 Complex Data Types 10.14 Piggy Bank 10.15 User-Defined Functions (UDF) 10.16 Parameter Substitution 10.17 Diagnostic Operator 10.18 Word Count Example using Pig 10.19 When to use Pig? 10.20 When not to use Pig? 10.21 Pig at Yahoo! 10.22 Pig versus Hive Chapter 11 Jasper Report us Printed Pages: 356., Wiley India Pvt. Ltd, 2015, Wiley India Pvt. Ltd, 2015. Softcover. New. This book is a comprehensive coverage on the concepts and practice of Big Data, Hadoop and Analytics. From the Do It Yourself steps and guidelines to set up a Hadoop Cluster to the deeper understanding of concepts and ample time-tested hands-on practice exercises on the concepts learned, this one book has it all! Big Data and Analytics is a term used for massive mounds of structured, semi-structured and unstructured data that has the potential to be mined for information.Chapter 1 Types of Digital Data 1.1 Classification of Digital Data Chapter 2 Introduction to Big Data 2.1 Characteristics of Data 2.2 Evolution of Big Data 2.3 Definition of Big Data 2.4 Challenges with Big Data 2.5 What is Big Data? 2.6 Other Characteristics of Data Which are not Definitional Traits of Big Data 2.7 Why Big Data? 2.8 Are We Just an Information Consumer or Do we also Produce Information? 2.9 Traditional Business Intelligence (BI) versus Big Data 2.10 A Typical Data Warehouse Environment 2.11 A Typical Hadoop Environment 2.12 What is New Today? 2.13 What is changing in the Realms of Big Data? Chapter 3 Big Data Analytics 3.1 Where do we Begin? 3.2 What is Big Data Analytics? 3.3 What Big Data Analytics Isnt? 3.4 Why this Sudden Hype Around Big Data Analytics? 3.5 Classification of Analytics 3.6 Greatest Challenges that Prevent Businesses from Capitalizing on Big Data 3.7 Top Challenges Facing Big Data 3.8 Why is Big Data Analytics Important? 3.9 What Kind of Technologies are we looking Toward to Help Meet the Challenges Posed by Big Data? 3.10 Data Science 3.11 Data ScientistYour New Best Friend!!! 3.12 Terminologies Used in Big Data Environments 3.13 Basically Available Soft State Eventual Consistency (BASE) 3.14 Few Top Analytics Tools Chapter 4 The Big Data Technology Landscape 4.1 NoSQL (Not Only SQL) 4.2 Hadoop Chapter 5 Introduction to Hadoop 5.1 Introducing Hadoop 5.2 Why Hadoop? 5.3 Why not RDBMS? 5.4 RDBMS versus Hadoop 5.5 Distributed Computing Challenges 5.6 History of Hadoop 5.7 Hadoop Overview 5.8 Use Case of Hadoop 5.9 Hadoop Distributors 5.10 HDFS (Hadoop Distributed File System) 5.11 Processing Data with Hadoop 5.12 Managing Resources and Applications with Hadoop YARN (Yet another Resource Negotiator) 5.13 Interacting with Hadoop Ecosystem Chapter 6 Introduction to MongoDB 6.1 What is MongoDB? 6.2 Why MongoDB? 6.3 Terms Used in RDBMS and MongoDB 6.4 Data Types in MongoDB 6.5 MongoDB Query Language Chapter 7 Introduction to Cassandra 7.1 Apache Cassandra - An Introduction 7.2 Features of Cassandra 7.3 CQL Data Types 7.4 CQLSH 7.5 Keyspaces 7.6 CRUD (Create, Read, Update and Delete) Operations 7.7 Collections 7.8 Using a Counter 7.9 Time to Live (TTL) 7.10 Alter Commands 7.11 Import and Export 7.12 Querying System Tables 7.13 Practice Examples Chapter 8 Introduction to MAPREDUCE Programming 8.1 Introduction 8.2 Mapper 8.3 Reducer 8.4 Combiner 8.5 Partitioner 8.6 Searching 8.7 Sorting 8.8 Compression Chapter 9 Introduction to Hive 9.1 What is Hive? 9.2 Hive Architecture 9.3 Hive Data Types 9.4 Hive File Format 9.5 Hive Query Language (HQL) 9.6 RCFile Implementation 9.7 SerDe 9.8 User-Defined Function (UDF) Chapter 10 Introduction to Pig 10.1 What is Pig? 10.2 The Anatomy of Pig 10.3 Pig on Hadoop 10.4 Pig Philosophy 10.5 Use Case for Pig: ETL Processing 10.6 Pig Latin Overview 10.7 Data Types in Pig 10.8 Running Pig 10.9 Execution Modes of Pig 10.10 HDFS Commands 10.11 Relational Operators 10.12 Eval Function 10.13 Complex Data Types 10.14 Piggy Bank 10.15 User-Defined Functions (UDF) 10.16 Parameter Substitution 10.17 Diagnostic Operator 10.18 Word Count Example using Pig 10.19 When to use Pig? 10.20 When not to use Pig? 10.21 Pig at Yahoo! 10.22 Pig versus Hive Chapter 11 Jasper Report us Printed Pages: 356. NA, Wiley India Pvt. Ltd, 2015, McGraw Hill Education, 2010. First edition. Softcover. New. Team Building and Leadership Coaching with Virtual Worlds New collaborative technologies to keep your company competitive, productive, and efficient With the business landscape changing every day, companies need training solutions that are not only cost-efficient, but engaging, quantifiable and global. Learn how virtual worlds can help you create training and recruitment programs that attract quality talent, build great teams, and connect a global workforce - all for less than your current training budget. Training and Collaboration with Virtual Worlds walks you through the available technologies, helps you match virtual tools to your organizational needs, and shows why these programs have already taken off at leading companies. Learn why leading companies like IBM, TMP Worldwide, Michelin, Intel, Microsoft and others are going virtual: * Revitalize recruitment and new hire orientation to improve employee quality, productivity and retention * Conduct worldwide training in real time, minimizing costs and time * Reduce travel while efficiently managing geographically dispersed teams * Break down dangerous or complex training procedures into manageable simulations Experts agree that within five years, the 3D Internet will become as important to companies as the Web is today. Training and Collaboration with Virtual Worlds will put your company ahead of that curve - with great results. Table of contents Preface Introduction Chapter 1. Virtual Worlds Chapter 2. Enterprise Applications of Virtual Worlds Chapter 3. Virtual Worlds Chapter 4. Linden Lab And Second Life In Their Own Words Chapter 5. Deploying a Corporate Training Program in Second Life Chapter 6. First Steps in Virtual World Chapter 7. Teaching complex concepts in a new way Chapter 8. Teamwork and Leadership in Virtual Worlds Chapter 9. Doing It Asynchronously Chapter 10. Procedural Training in Second Life Chapter 11. Recruiting and New Hire Orientation Chapter 12. Enterprise Collaboration Chapter 13. The Future of Employee Training in Virtual Worlds Bibliography Printed Pages: 272., McGraw Hill Education, 2010, McGraw Hill Education, 2010. First edition. Softcover. New. Team Building and Leadership Coaching with Virtual Worlds New collaborative technologies to keep your company competitive, productive, and efficient With the business landscape changing every day, companies need training solutions that are not only cost-efficient, but engaging, quantifiable and global. Learn how virtual worlds can help you create training and recruitment programs that attract quality talent, build great teams, and connect a global workforce - all for less than your current training budget. Training and Collaboration with Virtual Worlds walks you through the available technologies, helps you match virtual tools to your organizational needs, and shows why these programs have already taken off at leading companies. Learn why leading companies like IBM, TMP Worldwide, Michelin, Intel, Microsoft and others are going virtual: * Revitalize recruitment and new hire orientation to improve employee quality, productivity and retention * Conduct worldwide training in real time, minimizing costs and time * Reduce travel while efficiently managing geographically dispersed teams * Break down dangerous or complex training procedures into manageable simulations Experts agree that within five years, the 3D Internet will become as important to companies as the Web is today. Training and Collaboration with Virtual Worlds will put your company ahead of that curve - with great results. Table of contents Preface Introduction Chapter 1. Virtual Worlds Chapter 2. Enterprise Applications of Virtual Worlds Chapter 3. Virtual Worlds Chapter 4. Linden Lab And Second Life In Their Own Words Chapter 5. Deploying a Corporate Training Program in Second Life Chapter 6. First Steps in Virtual World Chapter 7. Teaching complex concepts in a new way Chapter 8. Teamwork and Leadership in Virtual Worlds Chapter 9. Doing It Asynchronously Chapter 10. Procedural Training in Second Life Chapter 11. Recruiting and New Hire Orientation Chapter 12. Enterprise Collaboration Chapter 13. The Future of Employee Training in Virtual Worlds Bibliography Printed Pages: 272., McGraw Hill Education, 2010, Needham Heights, Massachusetts: Allyn and Bacon. Fine. 1999. Third Printing. Soft Cover. 0205316921 . 006622: "This easy-to-follow guide reduces the complexity of IEP development to seven basic steps based on the requirements if IDEA '97. Pre-service and in-service educators will find the user-friendly format invaluable for enhancing their IEP writing skills. This helpful guide features case studies of four students of different ages with specific disabilities. Step-by-step instructions show how to develop a program by explanation, modeling, practice, and feedback. Also included are instructions for transition planning, a model IEP for comparison, and references for further learning. For pre-service and in-service special education teachers. " Scarce, Out Of Print, Book. : 8 x 10.75 in.: 79 pages ., Allyn and Bacon, 1999<

2000, ISBN: 0205316921

[EAN: 9780205316922], Gebraucht, sehr guter Zustand, [PU: Allyn & Bacon], Ships from the UK. Great condition for a used book! Minimal wear.

ISBN: 9780205316922

Softcover book. 79 pages. Published by Allyn & Bacon Media > Book, [PU: Allyn and Bacon]

ISBN: 9780205316922

Livre, [PU: Allyn and Bacon]