Instant Creating Data Models with PowerPivot How-to. Build better business intelligence with this practical guide to creating Excel data models with PowerPivot

Leo Taehyung Lee, Taehyung Lee

Microsoft PowerPivot is a free software designed to enhance Microsoft Excel. It allows the user to make extensive use of his/her computer's powers to draw data from various sources, do analysis across millions of rows of data, and present results in a very unique format.Instant Creating Data Models with PowerPivot How-to is a concise and to-the-point guide that helps you get a jump start on using this strong business intelligence tool, while still working in an environment similar to Excel. You will begin with data generation and manipulation, learning a new feature at each step by building onto the old file, and ultimately creating a comprehensive file.Instant Creating Data Models with PowerPivot How-to will guide the user through database installation, importing data from various sources, creating pivot charts and tables, utilizing a unique feature of PowerPivot called slicers,adding custom columns, and setting custom relationships between data to generate the ultimate customized dataset for analysis. By the end of the book and all the sections of Microsoft PowerPivot for Excel, the reader will be fully experienced and ready to utilize this powerful software.

Docker Deep Dive. Zero to Docker in a single book - Fourth Edition

Nigel Poulton

This book begins by introducing Docker, its transformative role in modern application development, and why containerization has become essential in the tech industry. The first part builds a strong foundation by explaining core concepts such as containers, images, and the benefits of cloud-native development. Readers will also learn the history of Docker, its comparison to virtual machines, and how it is shaping emerging technologies like AI, WebAssembly, and Kubernetes.The second part dives deep into hands-on technical skills. Readers will explore Docker Engine architecture, work with images, containers, and multi-container apps, and use Docker Compose for real-world scenarios. Topics like container orchestration with Docker Swarm, advanced networking, overlay networks, and persistent storage are explained in detail. Readers will also gain practical knowledge on security, debugging containers, and vulnerability scanning with Docker Scout.By the end, readers will have a comprehensive understanding of Docker, from setup to scaling production-grade applications. Whether deploying AI-based apps, containerizing existing workloads, or mastering orchestration, this book provides the skills needed to thrive in a rapidly evolving tech landscape.

Modern DevOps Practices. Implement and secure DevOps in the public cloud with cutting-edge tools, tips, tricks, and techniques

Gaurav Agarwal

Containers have entirely changed how developers and end-users see applications as a whole. With this book, you'll learn all about containers, their architecture and benefits, and how to implement them within your development lifecycle.You'll discover how you can transition from the traditional world of virtual machines and adopt modern ways of using DevOps to ship a package of software continuously. Starting with a quick refresher on the core concepts of containers, you'll move on to study the architectural concepts to implement modern ways of application development. You'll cover topics around Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools that will help you to build a base. As you advance, the book covers the core elements of cloud integration (AWS ECS, GKE, and other CaaS services), continuous integration, and continuous delivery (GitHub actions, Jenkins, and Spinnaker) to help you understand the essence of container management and delivery. The later sections of the book will take you through container pipeline security and GitOps (Flux CD and Terraform).By the end of this DevOps book, you'll have learned best practices for automating your development lifecycle and making the most of containers, infrastructure automation, and CaaS, and be ready to develop applications using modern tools and techniques.

Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks

Debu Sinha

Unleash the potential of databricks for end-to-end machine learning with this comprehensive guide, tailored for experienced data scientists and developers transitioning from DIY or other cloud platforms. Building on a strong foundation in Python, Practical Machine Learning on Databricks serves as your roadmap from development to production, covering all intermediary steps using the databricks platform. You’ll start with an overview of machine learning applications, databricks platform features, and MLflow. Next, you’ll dive into data preparation, model selection, and training essentials and discover the power of databricks feature store for precomputing feature tables. You’ll also learn to kickstart your projects using databricks AutoML and automate retraining and deployment through databricks workflows. By the end of this book, you’ll have mastered MLflow for experiment tracking, collaboration, and advanced use cases like model interpretability and governance. The book is enriched with hands-on example code at every step. While primarily focused on generally available features, the book equips you to easily adapt to future innovations in machine learning, databricks, and MLflow.

Supercharging Node.js Applications with Sequelize. Create high-quality Node.js apps effortlessly while interacting with your SQL database

Daniel Durante, Sascha Depold

Continuous changes in business requirements can make it difficult for programmers to organize business logic into database models, which turns out to be an expensive operation as changes to the database may result in errors and incongruity within applications. Supercharging Node.js Applications with Sequelize helps you get to grips with Sequelize, a reliable ORM that enables you to alleviate these issues in your database and applications.With Sequelize, you'll no longer need to store information in flat files or memory. This book takes a hands-on approach to implementation and associated methodologies for your database that will have you up and running in no time. You'll learn how to configure Sequelize for your Node.js application properly, develop a better sense of understanding of how this ORM works, and find out how to manage your database from Node.js using Sequelize. Finally, you'll be able to use Sequelize as the database driver for building your application from scratch.By the end of this Node.js book, you'll be able to configure, build, store, retrieve, validate, and associate your data from a database to a Node.js application.

Arduino by Example. Design and build fantastic projects and devices using the Arduino platform

Adith Jagdish Boloor

Ember.js Cookbook. Arm yourself with over 65 hands-on recipes to master the skills of building scalable web applications with Ember.js

Erik Hanchett

Ember.js is an open source JavaScript framework that will make you more productive. It uses common idioms and practices, making it simple to create amazing single-page applications. It also lets you create code in a modular way using the latest JavaScript features. Not only that, it has a great set of APIs to get any task done. The Ember.js community is welcoming newcomers and is ready to help you when needed.This book provides in-depth explanations on how to use the Ember.js framework to take you from beginner to expert. You’ll start with some basic topics and by the end of the book, you’ll know everything you need to know to build a fully operational Ember application. We’ll begin by explaining key points on how to use the Ember.js framework and the associated tools. You’ll learn how to effectively use Ember CLI and how to create and deploy your application. We’ll take a close look at the Ember object model and templates by examining bindings and observers. We’ll then move onto Ember components, models, and Ember Data. We’ll show you examples on how to connect to RESTful databases. Next we’ll get to grips with testing with integration and acceptance tests using QUnit. We will conclude by covering authentication, services, and Ember add-ons. We’ll explore advanced topics such as services and initializers, and how to use them together to build real-time applications.

Apache Mahout Essentials. Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout

Jayani Withanawasam