Building Dynamics CRM 2015 Dashboards with Power BIDynamics CRM 2015 holds a wealth of information about customers and the sales pipeline, but sometimes leaves users with basic end-user reporting and dashboard options. Power BI is a great new tool for analyzing and presenting data, giving us the ability to dig deeper into the information. With the increased requests for real-time sales analytics, Power BI when connected to Dynamics CRM offers a self-service approach to build, shape, and present data through an easy-to-use interface. The set of features within Power BI will give all users a tool to generate real-time sales productivity reports and dashboards to enhance their sales performance.
This book will provide you with the skills you need to learn how to build and present Dynamics CRM 2015 sales dashboards using Power BI. It follows a step-by-step process to build an interactive dashboard by organizing and consolidating datasets, improving the look and feel of graphs, charts, and maps, and enhancing data clarity with filters an ...
Advanced Java EE Development with WildFlyThis book starts with an introduction to EJB 3 and how to set up the environment, including the configuration of a MySQL database for use with WildFly. We will then develop object-relational mapping with Hibernate 4, build and package the application with Maven, and then deploy it in WildFly 8.1, followed by a demonstration of the use of Facelets in a web application.
Moving on from that, we will create an Ajax application in the Eclipse IDE, compile and package it using Maven, and run the web application on WildFly 8.1 with a MySQL database. In the final leg of this book, we will discuss support for generating and parsing JSON with WildFly 8.1. ...
Fluent PythonPython's simplicity lets you become productive quickly, but this often means you aren't using everything it has to offer. With this hands-on guide, you'll learn how to write effective, idiomatic Python code by leveraging its best - and possibly most neglected - features. Author Luciano Ramalho takes you through Python's core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time.
Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. ...
Introduction to Python for Engineers and ScientistsFamiliarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation.
In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you'll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.
Understand the fundamentals of the Python programming language; Apply Python to numerical computational programming projects in engineering and science; Discover the Pythonic way of life; Apply data types, operators, and arrays; Carry out plotting for visualization; Work with functions and loops. ...
Pro Deep Learning with TensorFlowDeploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own.
Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures.
All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways.
You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give ba ...
Mastering RabbitMQRabbitMQ is one of the most powerful Open Source message broker software, which is widely used in tech companies such as Mozilla, VMware, Google, AT&T, and so on. RabbitMQ gives you lots of fantastic and easy-to-manage functionalities to control and manage the messaging facility with lots of community support. As scalability is one of our major modern problems, messaging with RabbitMQ is the main part of the solution to this problem.
This book explains and demonstrates the RabbitMQ server in a detailed way. It provides you with lots of real-world examples and advanced solutions to tackle the scalability issues.
You'll begin your journey with the installation and configuration of the RabbitMQ server, while also being given specific details pertaining to the subject. Next, you'll study the major problems that our server faces, including scalability and high availability, and try to get the solutions for both of these issues by using the RabbitMQ mechanisms. Following on from th ...
Data Science Essentials in PythonData science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R language for data-scientific projects. Keep Python data-science concepts at your fingertips with this modular, quick reference to the tools used to acquire, clean, analyze, and store data.
This one-stop solution covers essential Python, databases, network analysis, natural language processing, elements of machine learning, and visualization. Access structured and unstructured text and numeric data from local files, databases, and the Internet. Arrange, rearrange, and clean the data. Work with relational and non-relational databases, data visualization, and simple predictive analysis (regressions, clustering, and decision trees). See how typical data analysis problems are handled. And try your hand at your own solutions to a variety of medium-scale projects that are fun to work on and look g ...
Amazon S3 CookbookAmazon S3 is one of the most famous and trailblazing cloud object storage services, which is highly scalable, low-latency, and economical. Users only pay for what they use and can store and retrieve any amount of data at any time over the Internet, which attracts Hadoop users who run clusters on EC2.
The book starts by showing you how to install several AWS SDKs such as iOS, Java, Node.js, PHP, Python, and Ruby and shows you how to manage objects. Then, you'll be taught how to use the installed AWS SDKs to develop applications with Amazon S3. Furthermore, you will explore the Amazon S3 pricing model and will learn how to annotate S3 billing with cost allocation tagging. In addition to this, the book covers several practical recipes about how to distribute your content with CloudFront, secure your content with IAM, optimize Amazon S3 performance, and notify S3 events with Lambada. ...
Designing with DataOn the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data.
This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow.
Understand the relationship between data, business, and design; Get a firm grounding in data, data types, and components of A/B testing; Use an experimentation framework to define opportunities, formulate hypotheses, and test different options; Create hypotheses that connect to key metrics and business goals; Design proposed solutions for hypotheses that are most promising; Interpret the re ...
Data-oriented Development with AngularJSAngularJS is one of the most popular JavaScript frameworks used to write single page applications and is suitable for developing large-scale enterprise applications. With Firebase, you can easily store and sync data in real time. It has libraries for all the major web and mobile platforms (including AngularJS) and bindings for the most popular frameworks (such as Node.js).
Data-oriented Development with AngularJS is a systematic learning guide that covers important AngularJS concepts such as data binding, dependency injection, directives, and so on. It also covers the basics of Firebase and three-way data binding with AngularFire. You'll be able to create a small project and build a real-time application using Firebase and AngularJS. This project uses most of the concepts and best practices learned in the book so that you can apply the very same principles in real-world AngularJS development. ...