Böcker utgivna av Packt Publishing

Build efficient data lakes that can scale to virtually unlimited size using AWS GlueKey Features:Learn to work with AWS Glue to overcome typical implementation challenges in data lakesCreate and manage serverless ETL pipelines that can scale to manage big dataWritten by AWS Glue community members, this practical guide shows you how to implement AWS Glue in no timeBook Description:Organizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes.Beginning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real-time analysis using this service. It also provides a walk-through of CI/CD for AWS Glue and how to shift left on quality using automated regression tests. You'll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you'll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options.By the end of this AWS book, you'll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue.What You Will Learn:Apply various AWS Glue features to manage and create data lakesUse Glue DataBrew and Glue Studio for data preparationOptimize data layout in cloud storage to accelerate analytics workloadsManage metadata including database, table, and schema definitionsSecure your data during access control, encryption, auditing, and networkingMonitor AWS Glue jobs to detect delays and loss of dataIntegrate Spark ML and SageMaker with AWS Glue to create machine learning modelsWho this book is for:This book is for ETL developers, data engineers, and data analysts who want to understand how AWS Glue can help you solve your business problems. Basic knowledge of AWS data services is assumed.

Enhance your applications' performance using best practices for benchmarking, application profiling, asynchronous programming, designing responsive UIs, gRPC communication, and distributed applicationsKey Features:- Make the best use of performance enhancements in C# 10.0 and .NET 6- Boost application performance by identifying hardware bottlenecks and common performance pitfalls- Get to grips with best practices and techniques for improving the scalability of distributed systemsBook Description:Writing high-performance code while building an application is crucial, and over the years, Microsoft has focused on delivering various performance-related improvements within the .NET ecosystem. This book will help you understand the aspects involved in designing responsive, resilient, and high-performance applications with the new version of C# and .NET.You will start by understanding the foundation of high-performance code and the latest performance-related improvements in C# 10.0 and .NET 6. Next, you'll learn how to use tracing and diagnostics to track down performance issues and the cause of memory leaks. The chapters that follow then show you how to enhance the performance of your networked applications and various ways to improve directory tasks, file tasks, and more. Later, you'll go on to improve data querying performance and write responsive user interfaces. You'll also discover how you can use cloud providers such as Microsoft Azure to build scalable distributed solutions. Finally, you'll explore various ways to process code synchronously, asynchronously, and in parallel to reduce the time it takes to process a series of tasks.By the end of this C# programming book, you'll have the confidence you need to build highly resilient, high-performance applications that meet your customer's demands.What You Will Learn:- Use correct types and collections to enhance application performance- Profile, benchmark, and identify performance issues with the codebase- Explore how to best perform queries on LINQ to improve an application's performance- Effectively utilize a number of CPUs and cores through asynchronous programming- Build responsive user interfaces with WinForms, WPF, MAUI, and WinUI- Benchmark ADO.NET, Entity Framework Core, and Dapper for data access- Implement CQRS and event sourcing and build and deploy microservicesWho this book is for:This book is for software engineers, professional software developers, performance engineers, and application profilers looking to improve the speed of their code or take their skills to the next level to gain a competitive advantage. You should be a proficient C# programmer who can already put the language to good use and is also comfortable using Microsoft Visual Studio 2022Table of Contents- Introducing C# 10.0 and .NET 6- Implementing C# Interoperability- Predefined Data Types and Memory Allocations- Memory Management- Application Profiling and Tracing- The .NET Collections- LINQ Performance- File and Stream I/O- Enhancing the Performance of Networked Applications- Setting Up Our Database Project- Benchmarking Relational Data Access Frameworks- Responsive User Interfaces- Distributed Systems- Multi-Threaded Programming- Parallel Programming- Asynchronous Programming

Demystify quantum computing by learning the math it is built onKey Features:- Build a solid mathematical foundation to get started with developing powerful quantum solutions- Understand linear algebra, calculus, matrices, complex numbers, vector spaces, and other concepts essential for quantum computing- Learn the math needed to understand how quantum algorithms functionBook Description:Quantum computing is an exciting subject that offers hope to solve the world's most complex problems at a quicker pace. It is being used quite widely in different spheres of technology, including cybersecurity, finance, and many more, but its concepts, such as superposition, are often misunderstood because engineers may not know the math to understand them. This book will teach the requisite math concepts in an intuitive way and connect them to principles in quantum computing.Starting with the most basic of concepts, 2D vectors that are just line segments in space, you'll move on to tackle matrix multiplication using an instinctive method. Linearity is the major theme throughout the book and since quantum mechanics is a linear theory, you'll see how they go hand in hand. As you advance, you'll understand intrinsically what a vector is and how to transform vectors with matrices and operators. You'll also see how complex numbers make their voices heard and understand the probability behind it all.It's all here, in writing you can understand. This is not a stuffy math book with definitions, axioms, theorems, and so on. This book meets you where you're at and guides you to where you need to be for quantum computing. Already know some of this stuff? No problem! The book is componentized, so you can learn just the parts you want. And with tons of exercises and their answers, you'll get all the practice you need.What You Will Learn:- Operate on vectors (qubits) with matrices (gates)- Define linear combinations and linear independence- Understand vector spaces and their basis sets- Rotate, reflect, and project vectors with matrices- Realize the connection between complex numbers and the Bloch sphere- Determine whether a matrix is invertible and find its eigenvalues- Probabilistically determine the measurement of a qubit- Tie it all together with bra-ket notationWho this book is for:If you want to learn quantum computing but are unsure of the math involved, this book is for you. If you've taken high school math, you'll easily understand the topics covered. And even if you haven't, the book will give you a refresher on topics such as trigonometry, matrices, and vectors. This book will help you gain the confidence to fully understand quantum computation without losing you in the process!Table of Contents- Superposition with Euclid- The Matrix- Foundations- Vector Spaces- Using Matrices to Transform Space- Complex Numbers- Eigenstuff- Our Space in the Universe- Advanced Concepts- Appendix 1 - Bra-ket Notation- Appendix 2 - Sigma Notation- Appendix 3 - Trigonometry- Appendix 4 - Probability- Appendix 5 - References