Microsoft Dynamics CRM 2011: Dashboards Cookbook. Figuring out Dashboards in Microsoft Dynamic CRM doesn’t have to be complicated. The smart way to learn is by following these 50+ recipes that help you visualize your CRM data clearly and communicatively

Mark AuCoin, Mark AuCoin

Microsoft Dynamics CRM 2011 offers you access to exciting new interactive and flexible Dashboards that contain any combination of Charts, Lists, iFrames and Silverlight components. These can be used to easily visualize your CRM data and provide you with a light BI interface, all of which this practical cookbook will enable you to utilize.At first glance, Dashboards and their myriad information can be overwhelming to users that are new to the Dynamics CRM 2011 interface. This book guides you through navigating and interacting with Dashboards in a simple and easy to follow manner, and builds on that experience to walk you through creating and sharing your own User Dashboards.Microsoft Dynamics CRM 2011: Dashboards Cookbookù offers a range of practical recipes for mastering dashboard navigation, interaction, and building custom Dashboards in Dynamics CRM.You will immediately get to grips with essential tasks like changing Dashboard settings and sharing Dashboards with other members in the CRM team, as well as adding custom components like iFrames and Lists. Along the way you will also follow the creation of a simple HTML WebResouce that can be added to your Dashboard.By the end of Microsoft Dynamics CRM 2011: Dashboards Cookbookù, you will be fully equipped to take advantage of the exciting new Dashboards features of Dynamics CRM 2011.

Amazon EC2 Cookbook. Over 40 hands-on recipes to develop and deploy real-world applications using Amazon EC2

Sekhar Reddy, Aurobindo Sarkar

Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop’s internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience.

Rust Web Programming. A hands-on guide to developing fast and secure web apps with the Rust programming language

Maxwell Flitton

Are safety and high performance a big concern for you while developing web applications?While most programming languages have a safety or speed trade-off, Rust provides memory safety without using a garbage collector. This means that with its low memory footprint, you can build high-performance and secure web apps with relative ease.This book will take you through each stage of the web development process, showing you how to combine Rust and modern web development principles to build supercharged web apps.You'll start with an introduction to Rust and understand how to avoid common pitfalls when migrating from traditional dynamic programming languages. The book will show you how to structure Rust code for a project that spans multiple pages and modules. Next, you'll explore the Actix Web framework and get a basic web server up and running. As you advance, you'll learn how to process JSON requests and display data from the web app via HTML, CSS, and JavaScript. You'll also be able to persist data and create RESTful services in Rust. Later, you'll build an automated deployment process for the app on an AWS EC2 instance and Docker Hub. Finally, you'll play around with some popular web frameworks in Rust and compare them.By the end of this Rust book, you'll be able to confidently create scalable and fast web applications with Rust.

Building Vue.js Applications with GraphQL. Develop a complete full-stack chat app from scratch using Vue.js, Quasar Framework, and AWS Amplify

Heitor Ramon Ribeiro

Since its release by Facebook in 2012, GraphQL has taken the internet by storm. Huge companies such as Airbnb and Audi have started to adopt it, while small to medium-sized companies are now recognizing the potential of this query-based API.GraphQL may seem strange at first, but as you start to read about and experience more of it, you won’t want to use REST APIs anymore.With the recipes in this book, you will learn how to build a complete real-time chat app from scratch. Starting by creating an AWS Amplify environment, you will delve into developing your first GraphQL Schema. You will then learn how to add the AppSync GraphQL client and create your first GraphQL mutation. The book also helps you to discover the simplicity and data fetching capabilities of GraphQL that make it easy for front-end developers to communicate with the server. You will later understand how to use Quasar Framework to create application components and layouts. Finally, you will find out how to create Vuex modules in your application to manage the app state, fetch data using the GraphQL client, and deploy your application to the web.By the end of this book, you’ll be well versed in proof-of-concept full-stack applications that explore the power of GraphQL with AWS Amplify, and you'll be able to use Quasar Framework to create your Vue applications.

TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter

Gian Marco Iodice, Ronan Naughton

This book explores TinyML, a fast-growing field at the unique intersection of machine learning and embedded systems to make AI ubiquitous with extremely low-powered devices such as microcontrollers.The TinyML Cookbook starts with a practical introduction to this multidisciplinary field to get you up to speed with some of the fundamentals for deploying intelligent applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico. As you progress, you’ll tackle various problems that you may encounter while prototyping microcontrollers, such as controlling the LED state with GPIO and a push-button, supplying power to microcontrollers with batteries, and more. Next, you’ll cover recipes relating to temperature, humidity, and the three “V” sensors (Voice, Vision, and Vibration) to gain the necessary skills to implement end-to-end smart applications in different scenarios. Later, you’ll learn best practices for building tiny models for memory-constrained microcontrollers. Finally, you’ll explore two of the most recent technologies, microTVM and microNPU that will help you step up your TinyML game.By the end of this book, you’ll be well-versed with best practices and machine learning frameworks to develop ML apps easily on microcontrollers and have a clear understanding of the key aspects to consider during the development phase.

Data Analysis Foundations with Python. Master Data Analysis with Python: From Basics to Advanced Techniques

Cuantum Technologies LLC

Embark on a comprehensive journey through data analysis with Python. Begin with an introduction to data analysis and Python, setting a strong foundation before delving into Python programming basics. Learn to set up your data analysis environment, ensuring you have the necessary tools and libraries at your fingertips. As you progress, gain proficiency in NumPy for numerical operations and Pandas for data manipulation, mastering the skills to handle and transform data efficiently.Proceed to data visualization with Matplotlib and Seaborn, where you'll create insightful visualizations to uncover patterns and trends. Understand the core principles of exploratory data analysis (EDA) and data preprocessing, preparing your data for robust analysis. Explore probability theory and hypothesis testing to make data-driven conclusions and get introduced to the fundamentals of machine learning. Delve into supervised and unsupervised learning techniques, laying the groundwork for predictive modeling.To solidify your knowledge, engage with two practical case studies: sales data analysis and social media sentiment analysis. These real-world applications will demonstrate best practices and provide valuable tips for your data analysis projects.

The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies

Blaine Bateman, Saikat Basak, Thomas V. Joseph, William So

The Pandas Workshop will teach you how to be more productive with data and generate real business insights to inform your decision-making. You will be guided through real-world data science problems and shown how to apply key techniques in the context of realistic examples and exercises. Engaging activities will then challenge you to apply your new skills in a way that prepares you for real data science projects.You’ll see how experienced data scientists tackle a wide range of problems using data analysis with pandas. Unlike other Python books, which focus on theory and spend too long on dry, technical explanations, this workshop is designed to quickly get you to write clean code and build your understanding through hands-on practice. As you work through this Python pandas book, you’ll tackle various real-world scenarios, such as using an air quality dataset to understand the pattern of nitrogen dioxide emissions in a city, as well as analyzing transportation data to improve bus transportation services.By the end of this data analytics book, you’ll have the knowledge, skills, and confidence you need to solve your own challenging data science problems with pandas.

Flask Blueprints. Dive into the world of the Flask microframework to develop an array of web applications

Joel Perras

Data Acquisition using LabVIEW. Click here to enter text

Behzad Ehsani

NI LabVIEW's intuitive graphical interface eliminates the steep learning curve associated with text-based languages such as C or C++. LabVIEW is a proven and powerful integrated development environment to interact with measurement and control hardware, analyze data, publish results, and distribute systems. This hands-on tutorial guide helps you harness the power of LabVIEW for data acquisition. This book begins with a quick introduction to LabVIEW, running through the fundamentals of communication and data collection. Then get to grips with the auto-code generation feature of LabVIEW using its GUI interface. You will learn how to use NI-DAQmax Data acquisition VIs, showing how LabVIEW can be used to appropriate a true physical phenomenon (such as temperature, light, and so on) and convert it to an appropriate data type that can be manipulated and analyzed with a computer. You will also learn how to create Distribution Kit for LabVIEW, acquainting yourself with various debugging techniques offered by LabVIEW to help you in situations where bugs are not letting you run your programs as intended.By the end of the book, you will have a clear idea how to build your own data acquisition system independently and much more.

Learning PostgreSQL. Create, develop and manage relational databases in real world applications using PostgreSQL

Salahaldin Juba, Andrey Volkov, Salahaldin Juba, Achim Vannahme

PostgreSQL is one of the most powerful and easy to use database management systems. It supports the most advanced features included in SQL standards. The book starts with the introduction of relational databases with PostegreSQL. It then moves on to covering data definition language (DDL) with emphasis on PostgreSQL and common DDL commands supported by ANSI SQL. You will then learn the data manipulation language (DML), and advanced topics like locking and multi version concurrency control (MVCC). This will give you a very robust background to tune and troubleshoot your application. The book then covers the implementation of data models in the database such as creating tables, setting up integrity constraints, building indexes, defining views and other schema objects. Next, it will give you an overview about the NoSQL capabilities of PostgreSQL along with Hstore, XML, Json and arrays. Finally by the end of the book, you'll learn to use the JDBC driver and manipulate data objects in the Hibernate framework.

Learning Docker. Optimize the power of Docker to run your applications quickly and easily

Pethuru Raj, Jeeva S. Chelladhurai, Vinod Singh, Vinod kumar Singh, ...

Migrating Linux to Microsoft Azure. A hands-on guide to efficiently relocating your Linux workload to Azure

Rithin Skaria, Toni Willberg

With cloud adoption at the core of digital transformation for organizations, there has been a significant demand for deploying and hosting enterprise business workloads in the cloud. Migrating Linux to Microsoft Azure offers a wealth of actionable insights into deploying Linux workload to Azure.You'll begin by learning about the history of IT, operating systems, Unix, Linux, and Windows before moving on to look at the cloud and what things were like before virtualization. This will help anyone new to Linux become familiar with the terms used throughout the book. You'll then explore popular Linux distributions, including RHEL 7, RHEL 8, SLES, Ubuntu Pro, CentOS 7, and more.As you progress, you'll cover the technical details of Linux workloads such as LAMP, Java, and SAP, and understand how to assess your current environment and prepare for your migration to Azure through cloud governance and operations planning. Finally, you'll go through the execution of a real-world migration project and learn how to analyze and debug some common problems that Linux on Azure users may encounter.By the end of this Linux book, you'll be proficient at performing an effective migration of Linux workloads to Azure for your organization.

Large Scale Machine Learning with Python. Click here to enter text

Bastiaan Sjardin, Alberto Boschetti, Luca Massaron

Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large sets of data is a growing need. Data scientists have to manage and maintain increasingly complex data projects, and with the rise of big data comes an increasing demand for computational and algorithmic efficiency. Large Scale Machine Learning with Python uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy. Dive into scalable machine learning and the three forms of scalability. Speed up algorithms that can be used on a desktop computer with tips on parallelization and memory allocation. Get to grips with new algorithms that are specifically designed for large projects and can handle bigger files, and learn about machine learning in big data environments. We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python.

Azure Active Directory for Secure Application Development. Use modern authentication techniques to secure applications in Azure

Sjoukje Zaal

Azure Active Directory for Secure Application Development is your one-stop shop for learning how to develop secure applications using modern authentication techniques with Microsoft Azure AD. Whether you’re working with single-tenant, multi-tenant, or line-of-business applications, this book contains everything you need to secure them.The book wastes no time in diving into the practicalities of Azure AD. Right from the start, you’ll be setting up tenants, adding users, and registering your first application in Azure AD. The balance between grasping and applying theory is maintained as you move from the intermediate to the advanced: from the basics of OAuth to getting your hands dirty with building applications and registering them in Azure AD. Want to pin down the Microsoft Graph, Azure AD B2C, or authentication protocol best practices? We’ve got you covered. The full range of Azure AD functionality from a developer perspective is here for you to explore with confidence.By the end of this secure app development book, you’ll have developed the skill set that so many organizations are clamoring for. Security is mission-critical, and after reading this book, you will be too.

Community Server Quickly. A Concise and Practical Guide to Installation, Administration, and Customization

Anand Narayanaswamy

Community Server is Telligent System's award-winning solution for quickly and easily enabling online communities. It includes a suite of integrated applications, such as blogs, discussion forums, photo sharing, file sharing, email lists, newsgroups, and more, which together can help you create your community presence. Community Server is the trusted solution for many organizations ranging from Microsoft and Dell to Conde Nast and Match.com, and powers massive communities like the Microsoft ASP.NET forums (www.asp.net/forums) and the XBOX forums (forums.xbox.com). You can learn more about Community Server, and see it in action, at https://www.communityserver.org.Written in a clear and concise manner, this book will guide you through the installation, administration, customization, and deployment of a Community Server solution. With the help of this book you will be able to start using your Community Server site within minutes of its installation. The book kicks off with a brief overview of Community Server, its various editions and licensing options, and installation procedures and then delves deep into the creation and management of blogs, forums, photo galleries, file galleries, and more.The book also explores the different ways you can customize your Community Server site along with coverage of various add-ons and modules. You will also learn how to manage your Community Server license and other related settings. Towards the end, the book provides an overview of the various steps required to deploy Community Server to a hosting server.

Clojure for Java Developers. Transition smoothly from Java to the most widely used functional JVM-based language – Clojure

Eduardo Díaz, Eduardo D Real

We have reached a point where machines are not getting much faster, software projects need to be delivered quickly, and high quality in software is more demanding as ever.We need to explore new ways of writing software that helps achieve those goals. Clojure offers a new possibility of writing high quality, multi-core software faster than ever, without having to leave your current platform.Clojure for Java developers aims at unleashing the true potential of the Clojure language to use it in your projects. The book begins with the installation and setup of the Clojure environment before moving on to explore the language in-depth. Get acquainted with its various features such as functional programming, concurrency, etc. with the help of example projects. Additionally, you will also, learn how the tooling works, and how it interacts with the Java environment. By the end of this book, you will have a firm grip on Clojure and its features, and use them effectively to write more robust programs.