Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads

Anirudh Kala, Anshul Bhatnagar, Sarthak Sarbahi

Databricks is an industry-leading, cloud-based platform for data analytics, data science, and data engineering supporting thousands of organizations across the world in their data journey. It is a fast, easy, and collaborative Apache Spark-based big data analytics platform for data science and data engineering in the cloud.In Optimizing Databricks Workloads, you will get started with a brief introduction to Azure Databricks and quickly begin to understand the important optimization techniques. The book covers how to select the optimal Spark cluster configuration for running big data processing and workloads in Databricks, some very useful optimization techniques for Spark DataFrames, best practices for optimizing Delta Lake, and techniques to optimize Spark jobs through Spark core. It contains an opportunity to learn about some of the real-world scenarios where optimizing workloads in Databricks has helped organizations increase performance and save costs across various domains.By the end of this book, you will be prepared with the necessary toolkit to speed up your Spark jobs and process your data more efficiently.

Learn Selenium. Build data-driven test frameworks for mobile and web applications with Selenium Web Driver 3

UNMESH GUNDECHA, Carl Cocchiaro

Selenium WebDriver 3.x is an open source API for testing both browser and mobile applications. With the help of this book, you can build a solid foundation and learn to easily perform end-to-end testing on web and mobile browsers. You'll begin by focusing on the Selenium Page Object Model for software development. You'll architect your own framework with a scalable driver class, Java utility classes, and support for third-party tools and plugins. Next, you'll design and build a Selenium Grid from scratch to enable the framework to scale and support different browsers, mobile devices, and platforms. You'll also strategize and handle a rich web UI using the advanced WebDriver API, and learn techniques to tackle real-time challenges in WebDriver. Later chapters will guide you through performing different types of testing, such as cross-browser testing, load testing, and mobile testing. Finally, you will be introduced to data-driven testing, using TestNG to create your own automation framework. By the end of this Learning Path, you'll be able to design your own automation testing framework and perform data-driven testing with Selenium WebDriver.This Learning Path includes content from the following Packt books: • Selenium WebDriver 3 Practical Guide - Second Edition by Unmesh Gundecha• Selenium Framework Design in Data-Driven Testing by Carl Cocchiaro

Performance Testing with JMeter 2.9. If you want to use JMeter for performance testing your software products, this book is a great starting point. You'll get a great grounding in all the fundamentals and gain a wealth of new skills along the way

Bayo Erinle

Performance testing with JMeter 2.9 is critical to the success of any software product launch and continued scalability. Irrespective of the size of the application's user base, it's vital to deliver the best user experience to consumers. Apache JMeter is an excellent testing tool that provides an insight into how applications might behave under load enabling organizations to focus on making adequate preparations.Performance Testing with JMeter 2.9 is a practical, hands-on guide that equips you with all the essential skills needed to effectively use JMeter to test web applications using a number of clear and practical step-by-step guides. It allows you take full advantage of the real power behind Apache JMeter, quickly taking you from novice to master.Performance Testing with JMeter 2.9 begins with the fundamentals of performance testing and gets you acquainted with JMeter. It will guide you through recording realistic and maintainable scripts.You will acquire new skills working with tools such as Vagrant, Puppet, and AWS, allowing you to leverage the cloud to aid in distributed testing. You will learn how to do some BeanShell scripting and take advantage of regular expressions, JMeter properties, and extension points to build comprehensive and robust test suites. Also, you will learn how to test RESTful web services, deal with XML, JSON, file downloads/uploads, and much more. Topics like resource monitoring, distributed testing, managing sessions, and extending JMeter are also covered.Performance Testing with JMeter 2.9 will teach you all you need to know to take full advantage of JMeter for testing web applications, dazzle your co-workers, and impress your boss! You will go from novice to pro in no time.

SwiftUI Cookbook. A guide to solving the most common problems and learning best practices while building SwiftUI apps - Second Edition

Giordano Scalzo, Edgar Nzokwe

SwiftUI provides an innovative and simple way to build beautiful user interfaces (UIs) for all Apple platforms, from iOS and macOS through to watchOS and tvOS, using the Swift programming language. In this recipe-based cookbook, you’ll cover the foundations of SwiftUI as well as the new SwiftUI 3 features introduced in iOS 15 and explore a range of essential techniques and concepts that will help you through the development process.The cookbook begins by explaining how to use basic SwiftUI components. Once you’ve learned the core concepts of UI development, such as Views, Controls, Lists, and ScrollViews, using practical implementations in Swift, you'll advance to adding useful features to SwiftUI using drawings, built-in shapes, animations, and transitions. You’ll understand how to integrate SwiftUI with exciting new components in the Apple development ecosystem, such as Combine for managing events and Core Data for managing app data. Finally, you’ll write iOS, macOS, and watchOS apps by sharing the same SwiftUI codebase.By the end of this SwiftUI book, you'll have discovered a range of simple, direct solutions to common problems encountered when building SwiftUI apps.

Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement

John K. Thompson, Douglas B. Laney

In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success.The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs.The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects.By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization.

HTML5 Game Development by Example: Beginner's Guide. Make the most of HTML5 techniques to create exciting games from scratch

Seng Hin Mak

Mastering JavaScript Promises

Muzzamil Hussain, Muzzmail Hussain

Learning iOS Security. Enhance the security of your iOS platform and applications using iOS-centric security techniques

Charles S Edge, Allister Banks