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Podcasts
Debu Panda, Phil Bates, Bhanu Pittampally, Sumeet Joshi, ...
Amazon Redshift Serverless enables organizations to run petabyte-scale cloud data warehouses quickly and in a cost-effective way, enabling data science professionals to efficiently deploy cloud data warehouses and leverage easy-to-use tools to train models and run predictions. This practical guide will help developers and data professionals working with Amazon Redshift data warehouses to put their SQL knowledge to work for training and deploying machine learning models.The book begins by helping you to explore the inner workings of Redshift Serverless as well as the foundations of data analytics and types of data machine learning. With the help of step-by-step explanations of essential concepts and practical examples, you’ll then learn to build your own classification and regression models. As you advance, you’ll find out how to deploy various types of machine learning projects using familiar SQL code, before delving into Redshift ML. In the concluding chapters, you’ll discover best practices for implementing serverless architecture with Redshift.By the end of this book, you’ll be able to configure and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale.
Tripp Corbin, GISP, Kirk Larson
ArcGIS Pro, Esri's newest desktop GIS application, offers powerful tools for visualizing, maintaining, and analyzing data. This cookbook will help existing ArcMap users transition to ArcGIS Pro and teach new users how to utilize its GIS tools effectively. You’ll learn how to create geodatabases, convert data formats, link tables from outside sources, edit 2D and 3D data, ensure data integrity with topology, and enable advanced geodatabase behavior. By the end, you'll be able to effectively use ArcGIS Pro as your primary desktop GIS application, maintaining, analyzing, and displaying data using common methods and tools.
Policy as Code (PaC) is a powerful paradigm that enables organizations to implement, validate, and measure policies at scale. Policy Design in the Age of Digital Adoption is a comprehensive guide to understanding policies, their design, and implementation for cloud environments using a DevOps-based framework. You'll discover how to create the necessary automation, its integration, and which stakeholders to involve.Complete with essential concepts, practical examples, and self-assessment questions, this book will help you understand policies and how new technologies such as cloud, microservices, and serverless leverage Policy as Code. You'll work with a custom framework to implement PaC in the organization, and advance to integrating policies, guidelines, and regulations into code to enhance the security and resilience posture of the organization. You'll also examine existing tools, evaluate them, and learn a framework to implement PaC so that technical and business teams can collaborate more effectively.By the end of this book, you'll have gained the confidence to design digital policies across your organizational environment.
Test Studio is Telerik's QA solution for automating your manual testing. With Test Studio's standalone edition or Visual Studio plugin, you can rule out the possibility of unreliable test execution and UI recognition, non indicative test results and reports, dispersed test repository, low code coverage, and unaffordable learning curves. With no code, this tool provides an intuitive IDE to effortlessly create maintainable tests. If you are looking for a solution to automate testing for your web, desktop, or mobile application, you can now benefit from Test Studio's rich automation features.Learning Software Testing with Test Studio will illustrate how to reliably automate test cases when it is time to relinquish manual testing habits. This book is all about less theory and more hands-on examples to present a complete manual and automated solution for your ASP .NET, WPF, Silverlight or iOS apps.This book gets you started directly with automation in Test Studio by exploiting its recording powers through series of concrete test cases built around the equipped applications. Each chapter starts with a typical automation problem which is then approached using Test Studio specialized automation features.You will learn how to create record and playback functional, performance, and load tests. Furthermore, we will see how to insert verification steps, logical constructs, convenient logging operations, and how to convert test scripts in order to implement keyword and data-driven architectures. To endow your tests with additional flexibility, each recorded automation feature will be approached from its coded perspective through the usage of the underlying ArtOfTest Test Studio automation library.This book also illustrates how Test Studio can automate pre-conditions, test result inputting, and the capturing of system states during manual test case execution in order to keep the tester's attention focused on the important details.
R Data Science Essentials. R Data Science Essentials
Raja B. Koushik, Sharan Kumar Ravindran
With organizations increasingly embedding data science across their enterprise and with management becoming more data-driven it is an urgent requirement for analysts and managers to understand the key concept of data science. The data science concepts discussed in this book will help you make key decisions and solve the complex problems you will inevitably face in this new world. R Data Science Essentials will introduce you to various important concepts in the field of data science using R. We start by reading data from multiple sources, then move on to processing the data, extracting hidden patterns, building predictive and forecasting models, building a recommendation engine, and communicating to the user through stunning visualizations and dashboards.By the end of this book, you will have an understanding of some very important techniques in data science, be able to implement them using R, understand and interpret the outcomes, and know how they helps businesses make a decision.
Cryptography Algorithms is designed to help you get up and running with modern cryptography algorithms. You'll not only explore old and modern security practices but also discover practical examples of implementing them effectively.The book starts with an overview of cryptography, exploring key concepts including popular classical symmetric and asymmetric algorithms, protocol standards, and more. You'll also cover everything from building crypto codes to breaking them. In addition to this, the book will help you to understand the difference between various types of digital signatures. As you advance, you will become well-versed with the new-age cryptography algorithms and protocols such as public and private key cryptography, zero-knowledge protocols, elliptic curves, quantum cryptography, and homomorphic encryption. Finally, you'll be able to apply the knowledge you've gained with the help of practical examples and use cases.By the end of this cryptography book, you will be well-versed with modern cryptography and be able to effectively apply it to security applications.