Book Description:

Haml is a markup language used to rapidly develop Rails view templates (or HTML pages). It is used by professional developers and praised for its cleanliness, human friendliness and usage agility. It functions as a replacement for inline page templating systems such as PHP, ASP, and ERB – the templating language used in most Ruby on Rails applications. Haml is itself a description of HTML and hence it avoids the need for explicitly coding HTML into the template with some code to generate dynamic content.

A practical guide which shows you a number of examples of Haml usage and then lets you dive into more advanced features to help you take full advantage of rapid development of view templates in your Rails applications. This book will show you how you can use Haml to create beautiful, easily maintainable and concise view templates without the hassle of writing in HTML.

Starting by showing you how to install Haml and how to integrate it into your Rails application, this practical guide will then teach you how to create the elements of a view template. This book will introduce you to the important features of Haml, show you how to integrate Haml with your development editor, and how to make it work with the Twitter Bootstrap framework.

This book will also show you how to convert existing view templates. With this book, you will be able to integrate Haml into your current application setup and development workflow.

What you will learn from this book

• Download and install Haml
• Integrate Haml with your Rails application
• Convert all existing view templates automatically
• Add Haml to your development editor
• Use Haml with Twitter Bootstrap Framework

Book Description:

Apache Solr is one of the most popular open source search servers available on the web. However, simply setting up Apache Solr is not enough to ensure the success of your web product. To maximize efficiency, you need to use techniques to boost Solr performance in order to return relevant results faster. You need to implement robust techniques that focus on optimizing the performance of your Solr instances and also troubleshoot issues that are prone to arise while maintaining Solr.

Apache Solr High Performance is a practical guide that will help you explore and take full advantage of the robust nature of Apache Solr so as to achieve optimized Solr instances, especially in terms of performance.

You will learn everything you need to know in order to achieve a high performing Solr instance or set of instances, as well as how to troubleshoot the common problems you are prone to face while working with single or multiple Solr servers.

This book offers you an introduction by explaining the prerequisites of Apache Solr and installing it, while also integrating it with the required additional components, and gradually progresses into features that make Solr flexible enough to achieve high performance ratings in various circumstances. Moving forward, the book will cover several clear and highly practical concepts that will help you further optimize your Solr instances’ performance both on single as well as multiple servers, and learn how to troubleshoot common problems that are prone to arise while using your Solr instance. By the end of the book you will also learn how to set up, configure, and deploy ZooKeeper along with learning more about other applications of ZooKeeper.

You will also learn how to handle data in multiple server environments, searches based on specific geographical co-ordinates, different caching techniques, and various algorithms and formulae that enable better performance; and many more.

Book Description:

Book Description:

Migrate your data to Salesforce and build low-maintenance and high-performing data integrations to get the most out of Salesforce and make it a “go-to” place for all your organization’s customer information.

When companies choose to roll out Salesforce, users expect it to be the place to find any and all Information related to a customer―the coveted Client 360° view. On the day you go live, users expect to see all their accounts, contacts, and historical data in the system. They also expect that data entered in other systems will be exposed in Salesforce automatically and in a timely manner.

This book shows you how to migrate all your legacy data to Salesforce and then design integrations to your organization’s mission-critical systems. As the Salesforce platform grows more powerful, it also grows in complexity. Whether you are migrating data to Salesforce, or integrating with Salesforce, it is important to understand how these complexities need to be reflected in your design.

Developing Data Migrations and Integrations with Salesforce covers everything you need to know to migrate your data to Salesforce the right way, and how to design low-maintenance, high-performing data integrations with Salesforce. This book is written by a practicing Salesforce integration architect with dozens of Salesforce projects under his belt. The patterns and practices covered in this book are the results of the lessons learned during those projects.

What You’ll Learn

• Know how Salesforce’s data engine is architected and why
• Use the Salesforce Data APIs to load and extract data
• Plan and execute your data migration to Salesforce
• Design low-maintenance, high-performing data integrations with Salesforce
• Understand common data integration patterns and the pros and cons of each
• Know real-time integration options for Salesforce
• Be aware of common pitfalls
• Build reusable transformation code covering commonly needed Salesforce transformation patterns

Who This Book Is For

Those tasked with migrating data to Salesforce or building ongoing data integrations with Salesforce, regardless of the ETL tool or middleware chosen; project sponsors or managers nervous about data tracks putting their projects at risk; aspiring Salesforce integration and/or migration specialists; Salesforce developers or architects looking to expand their skills and take on new challenges

Book Description:

Design and implement voice user interfaces. This guide to VUI helps you make decisions as you deal with the challenges of moving from a GUI world to mixed-modal interactions with GUI and VUI. The way we interact with devices is changing rapidly and this book gives you a close view across major companies via real-world applications and case studies.

Book Description:

Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages, and an active developer community, R empowers users to build sophisticated machine learning systems to solve real-world data problems.

This book takes you on a data-driven journey that starts with the very basics of R and machine learning and gradually builds upon the concepts to work on projects that tackle real-world problems.

You’ll begin by getting an understanding of the core concepts and definitions required to appreciate machine learning algorithms and concepts. Building upon the basics, you will then work on three different projects to apply the concepts of machine learning, following current trends and cover major algorithms as well as popular R packages in detail. These projects have been neatly divided into six different chapters covering the worlds of e-commerce, finance, and social-media, which are at the very core of this data-driven revolution. Each of the projects will help you to understand, explore, visualize, and derive insights depending upon the domain and algorithms.

Through this book, you will learn to apply the concepts of machine learning to deal with data-related problems and solve them using the powerful yet simple language, R.

About This Book

• Get to grips with the concepts of machine learning through exciting real-world examples
• Visualize and solve complex problems by using power-packed R constructs and its robust packages for machine learning
• Learn to build your own machine learning system with this example-based practical guide

Who This Book Is For

If you are interested in mining useful information from data using state-of-the-art techniques to make data-driven decisions, this is a go-to guide for you. No prior experience with data science is required, although basic knowledge of R is highly desirable. Prior knowledge in machine learning would be helpful but is not necessary.

What You Will Learn

• Utilize the power of R to handle data extraction, manipulation, and exploration techniques
• Use R to visualize data spread across multiple dimensions and extract useful features
• Explore the underlying mathematical and logical concepts that drive machine learning algorithms
• Dive deep into the world of analytics to predict situations correctly
• Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action
• Write reusable code and build complete machine learning systems from the ground up
• Solve interesting real-world problems using machine learning and R as the journey unfolds
• Harness the power of robust and optimized R packages to work on projects that solve real-world problems in machine learning and data science

Book Description:

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to harden and defend the systems within it.

In three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. New chapters focus on active monitoring and traffic manipulation, insider threat detection, data mining, regression and machine learning, and other topics.

You’ll learn how to:

• Use sensors to collect network, service, host, and active domain data
• Work with the SiLK toolset, Python, and other tools and techniques for manipulating data you collect
• Detect unusual phenomena through exploratory data analysis (EDA), using visualization and mathematical techniques
• Analyze text data, traffic behavior, and communications mistakes
• Identify significant structures in your network with graph analysis
• Examine insider threat data and acquire threat intelligence
• Map your network and identify significant hosts within it
• Work with operations to develop defenses and analysis techniques

Book Description:

Book Description:

Book Description:

With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world’s most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store.

This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.

Who This Book Is For

Anyone who wants to build efficient search and analytics applications can choose this book. This book is also beneficial for skilled developers, especially ones experienced with Lucene or Solr, who now want to learn Elasticsearch quickly.

What You Will Learn

• Get to know about advanced Elasticsearch concepts and its REST APIs
• Write CRUD operations and other search functionalities using the ElasticSearch Python and Java clients
• Dig into wide range of queries and find out how to use them correctly
• Design schema and mappings with built-in and custom analyzers
• Excel in data modeling concepts and query optimization
• Master document relationships and geospatial data
• Build analytics using aggregations
• Setup and scale Elasticsearch clusters using best practices
• Learn to take data backups and secure Elasticsearch clusters

Book Description:

Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success.

Book Description:

Developers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well.

Book Description:

Refer to this invaluable how-to guide for basic training on Salesforce Lightning. Salespeople and technical users and consultants will no longer have to resort to learning the interface on their own, which is very time consuming.

Learn Salesforce Lightning is a step-by-step visual guide that offers immediate and valuable solutions to the new set of UI tools included in Lightning. With chapters broken down into easily absorbed topics, you walk through the entire process of managing your daily activities within Salesforce, as well as basic customizations and system management. The book explains the primary use cases for Lighting, and simplifies some of the more complex features, such as opportunity stage management and the new dashboard builder. Topics covered include:

• Sales and service management
• Lightning Apps on the AppExchange
• Lightning dashboards and reports
• Lightning security
• Lightning Process Builder and more

What You’ll Learn

• Navigate the Salesforce Lightning interface
• Know where to go in the setup area to make customizations
• Create dynamic reports and dashboards
• View Lightning on a mobile device
• Train other users on common day-to-day activities within Lightning

Who This Book Is for

Salespeople, managers, and executives who are currently evaluating Salesforce.com, who recently purchased a license with Salesforce.com, or recently upgraded to the Lightning user interface. This book is also for Salesforce administrators, consultants, project managers, and technical users looking for basic training on Salesforce Lightning.

Book Description:

Close the gap between introductory and advanced resources available on SharePoint 2016 with this guide and identify the core benefits of specific techniques in a real-world context, including best practice scenarios. You will find this book to be a comprehensive collection of tutorials and solutions for all of the most widely used techniques (e.g., intranet, Internet, formal metadata management, informal metadata management, document management, social media, project management).

To overcome the high volume, velocity, and variety of data, content management systems usually focus on different sub-tasks, namely document management, web content management, digital asset management, and enterprise records management. As a leading enterprise CMS and all-around solution, SharePoint Server handles all of these sub-tasks using one system; however, the opportunities and limits of SharePoint are often unknown at the management level.

Many managers who decide to use SharePoint do not know how SharePoint can concretely help to improve their business and day-to-day operations. They are often overwhelmed with its functionalities. In addition, daily users are often overwhelmed with the complexity and extensive features and possibilities of the system. Both SharePoint administrators and users need a clear explanation of when SharePoint can be used, where it can help, and how to use it. Manager’s Guide to SharePoint Server 2016 is that solution. The book provides coverage of:

• SharePoint technology, including the core technologies of SharePoint and the MySite technology, as well as SharePoint administration levels
• Template technology, including the most widely used collaboration, enterprise, and publishing site templates
• Hands-on tutorials and solutions for users and administrators, including use cases in a real-world context
• Best practice scenarios of SharePoint governance, template usage, and additional tools to improve SharePoint

What You’ll Learn

• Discern how and where SharePoint can help improve a company’s success
• Understand the core elements of SharePoint for customization and how to improve the site’s functionalities
• Know how SharePoint can be used as a collaboration and management platform
• Discover what to do within SharePoint and how to more effectively manage SharePoint in daily business across teams

Who This Book Is For

Content managers, systems managers, and software engineering professionals. SharePoint managers, end users, and site administrators will also find this book useful.

Book Description:

Book Description:

The implementation of a TMS solution is a highly complex and mission critical project. If executed correctly a good TMS can deliver a number of benefits to the organization in terms of optimization, greater efficiency, reduced errors and improved revenue through accurate invoicing. However a number of projects fail to realize these benefits for a host of reasons such as an incorrect product selection, over customization of the system and lack of detailed processes. The evaluation and selection of the right transportation management system  is a very critical step in the successful implementation of a TMS product as well as ensuring that the organization is able to realize the benefits expected from the system.

Transportation Management with SAP TM 9 is a guide for CIO/CXOs evaluating options for various transportation management solutions available in the market and helps inappropriate decision making before committing investment. A proven evaluation framework and guidance provided in the book can help decision makers with product selection and help to create a business case for management approval and design a future roadmap for the organization. The book provides a comprehensive understanding of what SAP transportation management is and is useful for teams involved in TM Implementation and roll outs to ensure preparedness. The book explains end-to-end freight life cycle processes, functional system landscape, implementation challenges and post go-live precautions required to optimize investments in SAP TM.

Transportation Management with SAP TM 9 also acts as a step by step implementation guide with details of configuration required to set up a TM9 system. This book also covers the upgrade of SAP TM8 to SAP TM9 which will be useful for existing clients who are on TM 8. Nonavailability of SAP TM skilled resources is a major challenge faced by organizations and the book provides a detailed competency building plan along with skill set requirements to create a competent and trained workforce to manage-transformation.The current book available in the market on SAP TM is  based on  Version 6 release  which does not cover air freight processes. Our book covers end-to-end  air freight configuration scenarios for logistic companies.

Book Description:

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.

Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

• Use the IPython shell and Jupyter notebook for exploratory computing
• Learn basic and advanced features in NumPy (Numerical Python)
• Get started with data analysis tools in the pandas library
• Use flexible tools to load, clean, transform, merge, and reshape data
• Create informative visualizations with matplotlib
• Apply the pandas groupby facility to slice, dice, and summarize datasets
• Analyze and manipulate regular and irregular time series data
• Learn how to solve real-world data analysis problems with thorough, detailed examples

Book Description:

Book Description:

Book Description:

Provide solutions to all your Amazon EC2, SQS, Kinesis, and S3 problems, including implementation using the AWS Management Console, AWS CLI, and AWS SDK (Java).

You’ll find recipes on implementation and configuration of Amazon EC2, SQS, Kinesis, and S3 along with the code snippets and AWS CLI commands.

Practical Amazon EC2, SQS, Kinesis, and S3 uses focused examples that include only the details you need to get things done. You’ll see production use cases of Amazon EC2, SQS, Kinesis, and S3 and how to implement cloud watch in projects for these services. Learn how to raise an alarm on Amazon EC2, SQS, Kinesis, and S3 as part of a continuous monitoring system designed to increase performance and avoid side effects in your services.

What You’ll Learn

• Manage Amazon EC2, SQS, Kinesis, and S3 using the AWS Management Console
• Use the AWS CLI
• Employ the AWS Java SDK
• Configure alarms on Amazon EC2, SQS, Kinesis, and S3

Who This Book Is For

Software developers and architects, system engineers, and project managers