Drupal Search Engine Optimization. Drive people to your site with this supercharged guide to Drupal SEO with this book and

Ric Shreves

Drupal is a free and open-source content management system and content management framework written in PHP and distributed under the GNU General Public License. It is used as a back-end system for at least 1.5% of all websites worldwide ranging from personal blogs to corporate, political, and government sites. SEO, or Search Engine Optimization, is the process and techniques by which you optmize the content and style of your site in order to induce more people to view it.Drupal SEO will help you develop and execute an effective search engine optimization strategy for your site. From planning to implementation, the book covers best practices in contemporary SEO.In Drupal SEO you will learn how to develop a dynamic and productive SEO campaign. Covering both the basics of campaign development as well as the daily work it takes to maintain your SEO competitiveness, this book will show you how to produce a distinct and appropriate strategy for your site. In particular you will learn key phrase selection and competitor analysis and the correct groundwork for your dynamic SEO campaign.Drupal SEO will then show you, by finding the right combination of extensions, how to supercharge your site. You will also be given a guided tour of key SEO services, like Google and Bing Webmaster, in order to implement a progressive and effective link building campaign. You will then learn key expert tips and tricks to enable you to build SEO-effective content which will take your site from invisible to unmissable with little effort.

Splunk Essentials. Operational Intelligence at your fingertips - Second Edition

Betsy Page Sigman, Erickson Delgado

Splunk is a search, analysis, and reporting platform for machine data, which has a high adoption on the market. More and more organizations want to adopt Splunk to use their data to make informed decisions.This book is for anyone who wants to manage data with Splunk. You’ll start with very basics of Splunk— installing Splunk—and then move on to searching machine data with Splunk. You will gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields. After this, you will learn to create various reports, XML forms, and alerts. You will then continue using the Pivot Model to transform the data models into visualization. You will also explore visualization with D3 in Splunk. Finally you’ll be provided with some real-world best practices in using Splunk.

Technology Operating Models for Cloud and Edge. Create your purpose-built distributed operating model for public, hybrid, multicloud, and edge

Ahilan Ponnusamy, Andreas Spanner, Mirco Hering, Vincent Caldeira, ...

Cloud goals, such as faster time to market, lower total cost of ownership (TCO), capex reduction, self-service enablement, and complexity reduction are important, but organizations often struggle to achieve the desired outcomes. With edge computing gaining momentum across industries and making it possible to move workloads seamlessly between cloud and edge locations, organizations need working recipes to find ways of extracting the most value out of their cloud and edge estate.This book provides a practical way to build a strategy-aligned operating model while considering various related factors such as culture, leadership, team structures, metrics, intrinsic motivators, team incentives, tenant experience, platform engineering, operations, open source, and technology choices. Throughout the chapters, you’ll discover how single, hybrid, or multicloud architectures, security models, automation, application development, workload deployments, and application modernization can be reutilized for edge workloads to help you build a secure yet flexible technology operating model. The book also includes a case study which will walk you through the operating model build process in a step-by-step way.By the end of this book, you’ll be able to build your own fit-for-purpose distributed technology operating model for your organization in an open culture way.

Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python

Martin Czygan, Phuong Vo.T.H, Ashish Kumar, Kirthi Raman

You will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn. After this, you will move on to a data analytics specialization—predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You’ll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling.After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examplesThis Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Getting Started with Python Data Analysis, Phuong Vo.T.H &Martin Czygan•Learning Predictive Analytics with Python, Ashish Kumar•Mastering Python Data Visualization, Kirthi Raman

Visual Studio 2010 Best Practices. Learn and implement recommended practices for the complete software development lifecycle with Visual Studio 2010 with this book and

Peter Ritchie

When you are developing on the Microsoft platform, Visual Studio 2010 offers you a range of powerful tools and makes the whole process easier and faster. After learning it, if you are think that you can sit back and relax, you cannot be further away from truth. To beat the crowd, you need to be better than others, learn tips and tricks that other don't know yet. This book is a compilation of the best practices of programming with Visual Studio.Visual Studio 2010 best practices will take you through the practices that you need to master programming with .NET Framework. The book goes on to detail several practices involving many aspects of software development with Visual Studio. These practices include debugging and exception handling and design. It details building and maintaining a recommended practices library and the criteria by which to document recommended practicesThe book begins with practices on source code control (SCC). It includes different types of SCC and discusses how to choose them based on different scenarios. Advanced syntax in C# is then covered with practices covering generics, iterator methods, lambdas, and closures.The next set of practices focus on deployment as well as creating MSI deployments with Windows Installer XML (WiX)óincluding Windows applications and services. The book then takes you through practices for developing with WCF and Web Service.The software development lifecycle is completed with practices on testing like project structure, naming, and the different types of automated tests. Topics like test coverage, continuous testing and deployment, and mocking are included. Although this book uses Visual Studio as example, you can use these practices with any IDE.

Thriving in Android Development Using Kotlin. A project-based guide to using the latest Android features for developing production-grade apps

Gema Socorro Rodríguez

With resources on Android and Kotlin abound, it’s difficult to find content that focuses on resolving common challenges faced by app developers. This book by Gema Socorro Rodríguez – a Google Developer Expert for Android with over 15 years of experience and a proven track record as an effective instructor – is designed to bridge the gap between theory and real-world application. It equips you with the skills to tackle everyday problems in Android development through hands-on projects.Under Gema's expert guidance, you’ll build three sophisticated Android projects. You'll start your development journey by building a WhatsApp-like application, learning how to process asynchronous messages reactively, render them using Jetpack Compose, and advance to creating and uploading a backup of these messages. Next, you’ll channel your creativity into Packtagram, an Instagram-inspired app that offers advanced photo-editing capabilities using the latest CameraX libraries. Your final project will be a Netflix-style app, integrating video playback functionality with ExoPlayer for both foreground and background operations, and implementing device casting features.By the end of this book, you'll have crafted three fully functional, multi-platform projects and gained the confidence to solve the most common challenges in Android development.

Hands-On Microsoft Teams. A practical guide to enhancing enterprise collaboration with Microsoft Teams and Office 365

Joao Ferreira

Microsoft Teams is a platform for unified communication in modern workplaces. It not only enables effective communication, but also helps you manage your resources through its integration with various Microsoft Office 365 services. This book offers a comprehensive introduction to the platform, getting you up to speed in no time. Complete with hands-on tutorials, and projects, this easy-to-follow guide will teach you how to use Teams in the best possible way.Starting with the basic concepts that will help you collaborate on Teams, this book takes you through expert techniques for creating and managing teams. A dedicated section also features industry practices to help enhance collaboration in modern workplaces. In later chapters, you’ll explore Microsoft services such as SharePoint, PowerApps, Power Automate, and learn how they interact with Microsoft Teams. You’ll also get to grips with dealing with permissions and security issues in managing private and public teams and channels. Along the way, you’ll discover practical scenarios that will help you improve the collaboration in your organization and increase productivity by using Teams features.By the end of this book, you’ll have hands-on experience of using Microsoft Teams, along with the skills you need to improve the way people collaborate in your organization.

Learning PostgreSQL 11. A beginner's guide to building high-performance PostgreSQL database solutions - Third Edition

Salahaldin Juba, Andrey Volkov

PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch.Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You’ll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You’ll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you’ll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You’ll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance.By the end of this book, you’ll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions.