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Podcasts
Data Acquisition using LabVIEW. Click here to enter text
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.
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.
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 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 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.