Learning Android Forensics. A hands-on guide to Android forensics, from setting up the forensic workstation to analyzing key forensic artifacts

Rohit Tamma, Donnie Tindall

A Developer's Essential Guide to Docker Compose. Simplify the development and orchestration of multi-container applications

Emmanouil Gkatziouras

Software development is becoming increasingly complex due to the various software components used. Applications need to be packaged with software components to facilitate their operations, making it complicated to run them. With Docker Compose, a single command can set up your application and the needed dependencies.This book starts with an overview of Docker Compose and its usage and then shows how to create an application. You will also get to grips with the fundamentals of Docker volumes and network, along with Compose commands, their purpose, and use cases. Next, you will set up databases for daily usage using Compose and, leveraging Docker networking, you will establish communication between microservices. You will also run entire stacks locally on Compose, simulate production environments, and enhance CI/CD jobs using Docker Compose. Later chapters will show you how to benefit from Docker Compose for production deployments, provision infrastructure on public clouds such as AWS and Azure, and wrap up with Compose deployments on said infrastructure.By the end of this book, you will have learned how to effectively utilize Docker Compose for day-to-day development.

Scala for Data Science. Leverage the power of Scala with different tools to build scalable, robust data science applications

Pascal Bugnion

Scala is a multi-paradigm programming language (it supports both object-oriented and functional programming) and scripting language used to build applications for the JVM. Languages such as R, Python, Java, and so on are mostly used for data science. It is particularly good at analyzing large sets of data without any significant impact on performance and thus Scala is being adopted by many developers and data scientists. Data scientists might be aware that building applications that are truly scalable is hard. Scala, with its powerful functional libraries for interacting with databases and building scalable frameworks will give you the tools to construct robust data pipelines.This book will introduce you to the libraries for ingesting, storing, manipulating, processing, and visualizing data in Scala.Packed with real-world examples and interesting data sets, this book will teach you to ingest data from flat files and web APIs and store it in a SQL or NoSQL database. It will show you how to design scalable architectures to process and modelling your data, starting from simple concurrency constructs such as parallel collections and futures, through to actor systems and Apache Spark. As well as Scala’s emphasis on functional structures and immutability, you will learn how to use the right parallel construct for the job at hand, minimizing development time without compromising scalability. Finally, you will learn how to build beautiful interactive visualizations using web frameworks.This book gives tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed with building data science and data engineering solutions.

TIBCO Spotfire - A Comprehensive Primer. Create innovative enterprise-class informatics solutions using TIBCO Spotfire

Michael Phillips

Microservices with Go. Building scalable and reliable microservices with Go

Alexander Shuiskov

This book covers the key benefits and common issues of microservices, helping you understand the problems microservice architecture helps to solve, the issues it usually introduces, and the ways to tackle them.You’ll start by learning about the importance of using the right principles and standards in order to achieve the key benefits of microservice architecture. The following chapters will explain why the Go programming language is one of the most popular languages for microservice development and lay down the foundations for the next chapters of the book. You’ll explore the foundational aspects of Go microservice development including service scaffolding, service discovery, data serialization, synchronous and asynchronous communication, deployment, and testing. After covering the development aspects, you’ll progress to maintenance and reliability topics. The last part focuses on more advanced topics of Go microservice development including system reliability, observability, maintainability, and scalability. In this part, you’ll dive into the best practices and examples which illustrate how to apply the key ideas to existing applications, using the services scaffolded in the previous part as examples.By the end of this book, you’ll have gained hands-on experience with everything you need to develop scalable, reliable and performant microservices using Go.

Instant Zend Framework 2.0. Designed for developers who want to learn Zend Framework fast, using a hands-on practical approach rather than dry theory. By the end of this book you'll have learned how to build a complete data-driven web application

A N M Mahabubul Hasan

Zend Framework 2 is a modern object-oriented PHP framework. It has lots of useful components, which are easy to use and user friendly, helping you get your job done faster. This book shows you how to use the framework components to build a practical MVC application. Topics covered in this application include validation, file upload, database CRUD (create, read, update, and delete) operations, and so on.Instant Zend Framework 2.0 has been specifically created to provide you with all the information that you need to get up with Zend Framework 2 applications. You will learn the basic of Zend Framework 2.0, and get started with building your first Zend Framework MVC application. The book promises to deliver all the information you need to get started with Zend Framework 2.0. Instant Zend Framework 2.0 starts with how to download Zend Framework 2.0 and the skeleton application, and then shows how to configure the skeleton application to use the Zend Framework 2.0. Then it takes you through step-by-step instructions of how to create and configure modules, controllers, views, models, helpers and so on. By following the instructions in the book, you will be able to build a small fully functional database-driven MVC application.You will also learn how to use different framework components like the event manager, Zend log, and how to configure them with the module. This will give you an idea of how to configure any component with the module. After finishing this book you will be able to build a small database-driven web application with Zend Framework 2.

Android Application Security Essentials. Security has been a bit of a hot topic with Android so this guide is a timely way to ensure your apps are safe. Includes everything from Android security architecture to safeguarding mobile payments

Pragati Rai

In today's techno-savvy world, more and more parts of our lives are going digital, and all this information is accessible anytime and anywhere using mobile devices. It is of the utmost importance that you understand and implement security in your apps that will reduce the likelihood of hazards that will wreck your users' experience.Android Application Security Essentials takes a deep look into Android security from kernel to the application level, with practical hands-on examples, illustrations, and everyday use cases. This book will show you how to overcome the challenge of getting the security of your applications right.Android Application Security Essentials will show you how to secure your Android applications and data. It will equip you with tricks and tips that will come in handy as you develop your applications.We will start by learning the overall security architecture of the Android stack. Securing components with permissions, defining security in a manifest file, cryptographic algorithms and protocols on the Android stack, secure storage, security focused testing, and protecting enterprise data on your device is then also discussed in detail. You will also learn how to be security-aware when integrating newer technologies like NFC and mobile payments into your Android applications.At the end of this book, you will understand Android security at the system level all the way to the nitty-gritty details of application security for securing your Android applications.

Mastering Geospatial Development with QGIS 3.x. An in-depth guide to becoming proficient in spatial data analysis using QGIS 3.4 and 3.6 with Python - Third Edition

Shammunul Islam, Simon Miles, Kurt Menke, GISP, ...

QGIS is an open source solution to GIS and widely used by GIS professionals all over the world. It is the leading alternative to proprietary GIS software. Although QGIS is described as intuitive, it is also, by default, complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time. Starting with a refresher on the QGIS basics and getting you acquainted with the latest QGIS 3.6 updates, this book will take you all the way through to teaching you how to create a spatial database and a GeoPackage. Next, you will learn how to style raster and vector data by choosing and managing different colors. The book will then focus on processing raster and vector data. You will be then taught advanced applications, such as creating and editing vector data. Along with that, you will also learn about the newly updated Processing Toolbox, which will help you develop the advanced data visualizations. The book will then explain to you the graphic modeler, how to create QGIS plugins with PyQGIS, and how to integrate Python analysis scripts with QGIS. By the end of the book, you will understand how to work with all aspects of QGIS and will be ready to use it for any type of GIS work.

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.