Programming Arduino with LabVIEW. Build interactive and fun learning projects with Arduino using LabVIEW

Oliver Nalenthren Manickum, Oliver N Manickum, Marco Schwartz

Extending Dynamics 365 Customer Engagement Apps with Low Code. Create tailor-made Dynamics 365 CE apps using the powerful low-code capabilities of Power Platform

Nicolás Andrés Fernández

Extending Dynamics 365 Customer Engagement Apps with Low Code helps you gain a comprehensive, practical understanding of how a no-code/low-code project approach works for Dynamics 365 (D365) Customer Engagement (CE). This book covers the most relevant native capabilities for configuration, along with real-world scenarios to showcase the magic of extending D365 CE apps with Power Platform.The book starts by identifying different scenarios and use cases to extend D365 CE apps with a low-code approach. You’ll learn about the different capabilities of Dataverse and Power Apps used to extend native applications. Next, you'll discover how to leverage Power Apps, both Canvas apps and model-driven apps, and Power Pages, to build apps and portals around D365 CE processes. You’ll also explore Power Automate's capabilities to create or modify business processes, as well as incorporate new processes and automation. As you advance, you’ll also discover how Power Virtual Agents can be implemented in D365 CE apps. The book concludes by teaching you to integrate Power BI natively with customer engagement, thus facilitating the construction of advanced reports and dashboards.By the end of this book, you’ll have gained hands-on expertise in customizing CE apps with Power Platform to deliver more scalable and maintainable solutions.

Building a Web Application with PHP and MariaDB: A Reference Guide. Build fast, secure, and interactive web applications using this comprehensive guide

Sai S Sriparasa

SQL Server Analysis Services 2012 Cube Development Cookbook. If you prefer the instructional approach to a lot of theory, this cookbook is for you. It takes you straight into building data cubes through hands-on recipes, helping you get to grips with SQL Server Analysis Services fast

Steve Hughes, Baya Dewald, Paul Turley

Microsoft SQL Server is a relational database management system. As a database, it is a software product whose primary function is to store and retrieve data as requested by other software applications. SQL Server Analysis Services adds OLAP and data mining capabilities for SQL Server databases. OLAP (online analytical processing) is a technique for analyzing business data for effective business intelligence.This practical guide teaches you how to build business intelligence solutions using Microsoft’s core product – SQL Server Analysis Services. The book covers the traditional multi-dimensional model which has been around for over a decade as well as the tabular model introduced with SQL Server 2012.Starting with comparing MultiDimensional and tabular models – discussing the values and limitations of each, you will then cover the essential techniques for building dimensions and cubes. Following on from this, you will be introduced to more advanced topics, such as designing partitions and aggregations, implementing security, and synchronizing databases for solutions serving many users.The book also covers administrative material, such as database backups, server configuration options, and monitoring and tuning performance. We also provide a primer on MultiDimensional eXpressions (MDX) as well as Data Analysis expressions (DAX) languages.This book provides you with data cube development techniques, and also the ongoing monitoring and tuning for Analysis Services.

Amazon SageMaker Best Practices. Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker

Sireesha Muppala, Randy DeFauw, Shelbee Eigenbrode

Amazon SageMaker is a fully managed AWS service that provides the ability to build, train, deploy, and monitor machine learning models. The book begins with a high-level overview of Amazon SageMaker capabilities that map to the various phases of the machine learning process to help set the right foundation. You'll learn efficient tactics to address data science challenges such as processing data at scale, data preparation, connecting to big data pipelines, identifying data bias, running A/B tests, and model explainability using Amazon SageMaker. As you advance, you'll understand how you can tackle the challenge of training at scale, including how to use large data sets while saving costs, monitoring training resources to identify bottlenecks, speeding up long training jobs, and tracking multiple models trained for a common goal. Moving ahead, you'll find out how you can integrate Amazon SageMaker with other AWS to build reliable, cost-optimized, and automated machine learning applications. In addition to this, you'll build ML pipelines integrated with MLOps principles and apply best practices to build secure and performant solutions.By the end of the book, you'll confidently be able to apply Amazon SageMaker's wide range of capabilities to the full spectrum of machine learning workflows.

Conducting a Telephone Interview. Master the art of conducting a telephone interview to make the most effective hiring decisions

Vaibhav Gupta

Redmine Plugin Extension and Development. If you’d like to customize Redmine to meet your own precise project management needs, this is the ideal guide to understanding and realizing the full potential of plugins. Full of real-world examples and clear instructions

Alex Bevilacqua

Java Coding Problems. Improve your Java Programming skills by solving real-world coding challenges

Anghel Leonard

The super-fast evolution of the JDK between versions 8 and 12 has increased the learning curve of modern Java, therefore has increased the time needed for placing developers in the Plateau of Productivity. Its new features and concepts can be adopted to solve a variety of modern-day problems. This book enables you to adopt an objective approach to common problems by explaining the correct practices and decisions with respect to complexity, performance, readability, and more.Java Coding Problems will help you complete your daily tasks and meet deadlines. You can count on the 300+ applications containing 1,000+ examples in this book to cover the common and fundamental areas of interest: strings, numbers, arrays, collections, data structures, date and time, immutability, type inference, Optional, Java I/O, Java Reflection, functional programming, concurrency and the HTTP Client API. Put your skills on steroids with problems that have been carefully crafted to highlight and cover the core knowledge that is accessed in daily work. In other words (no matter if your task is easy, medium or complex) having this knowledge under your tool belt is a must, not an option.By the end of this book, you will have gained a strong understanding of Java concepts and have the confidence to develop and choose the right solutions to your problems.