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Data Algorithms with Spark
Data Algorithms with Spark

Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. You'll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. Each detailed recipe includes PySpark algorithms using the PySpark driver and shell script. With this book, you will: Learn how to select Spark transformations for optimized solutions; Explore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions(); Understand data partitioning for optimized queries; Build and apply a model using PySpark desig ...
CockroachDB: The Definitive Guide
CockroachDB: The Definitive Guide

Get the lowdown on CockroachDB, the distributed SQL database built to handle the demands of today's data-driven cloud applications. In this hands-on guide, software developers, architects, and DevOps/SRE teams will learn how to use CockroachDB to create applications that scale elastically and provide seamless delivery for end users while remaining indestructible. Teams will also learn how to migrate existing applications to CockroachDB's performant, cloud native data architecture. If you're familiar with distributed systems, you'll quickly discover the benefits of strong data correctness and consistency guarantees as well as optimizations for delivering ultra low latencies to globally distributed end users. You'll learn how to: Design and build applications for distributed infrastructure, including data modeling and schema design; Migrate data into CockroachDB; Read and write data and run ACID transactions across distributed infrastructure; Plan a CockroachDB deployment for resil ...
Computer Vision Projects with PyTorch
Computer Vision Projects with PyTorch

Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch. The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augmentation, and other regularization techniques used in the industry. And then it gives you a quick overview of the PyTorch libraries used in the book. After that, it takes you through the implementation of image classification problems, object detection techniques, and transfer learning while training and running inference. The book covers image segmentation and an anomaly detection model. And it discusses the fundamentals of video processing for computer vision tasks putting images into videos. The book concludes with an explanation of the complete model building process for deep learning frameworks using optimized techniques with highlights on model AI explainability. After reading th ...
Practical C++ Design, 2nd Edition
Practical C++ Design, 2nd Edition

Go from competent C++ developer to skilled designer or architect using this book as your personal C++ design master class. Updated for the C++20 standard, this title will guide you through the design and implementation of an engaging case study that forms the backdrop for learning the art of applying design patterns and modern C++ techniques to create a high quality, robust application. Starting with a quick exploration of the requirements for building the application, you'll delve into selecting an appropriate architecture, eventually designing and implementing all of the necessary modules to meet the project's requirements. By the conclusion of Practical C++ 20 Design, you'll have constructed a fully functioning calculator capable of building and executing on any platform that supports both Qt and C++20. Access to the complete source code will help speed your learning. Utilize the Model-View-Controller pattern as the basis for the architecture of the calculator; the observer ...
API Marketplace Engineering
API Marketplace Engineering

This is your hands-on guide to designing, building, and operating an API Marketplace to allow your organization to expose internal services and customer data securely for use by external developers. The book shows the mutual nature of a relationship in which organizations benefit from revenue and the reach of a new digital channel and third-party developers benefit from leveraging APIs to build unique applications. Providing open access is a regulatory requirement in some sectors, such as financial services, and this book helps you to build a platform to comply with regulatory requirements while at the same time encouraging and supporting use by external development teams. The book provides the blueprints for assembling teams and systems to build and support an API ecosystem. It offers insight into how the Marketplace can be constructed in a way to allow agility and flexibility to meet aggressive startup developer timelines while balancing established enterprise requirements of stab ...
Foundations of Scalable Systems
Foundations of Scalable Systems

In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively. Author Ian Gorton takes software architects and developers through the principles of foundational distributed systems. You'll explore the essential ingredients of scalable solutions, including replication, state management, load balancing, and caching. Specific chapters focus on the implications of scalability for databases, microservices, and event-based streaming systems. You will focus on: Foundations of scalable systems: Learn basic design principles of scalability, its costs, and architectural tradeoffs Designing scalable ...
Learning Functional Programming
Learning Functional Programming

Learn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects. Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You'll be able to write code that's simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming. Learn functional programming fundamentals and explore the way functional programmers approach problems; Understand how FP differs from object-oriented and imperative programming; Use a set of practical, applicable design patterns that model reality in a f ...
Azure Infrastructure as Code
Azure Infrastructure as Code

Azure Infrastructure as Code teaches you to use Azure's native infrastructure as code (IaC) tools, like ARM and Bicep, to build, manage, and scale infrastructure with just a few lines of code. You'll discover ARM templates, deployment stacks, and the powerful new language Bicep. See how easy they make it to create new environments, safely make infrastructure changes, govern your resources using Azure Policy, and prevent configuration drift. Loaded with in-depth coverage of syntax and lots of illustrative examples, this hands-on guide is a must-read for anyone looking to expand their knowledge of provisioning. Automating tasks like provisioning servers, operating systems, and storage, saves time and radically increases consistency. The Infrastructure as Code (IaC) approach brings the tools and practices of application deployment, such as Github Actions, automated testing, and pipeline-driven deployments, to infrastructure components. With Azure's native IaC tools, you can create whol ...
SQL Antipatterns, Volume 1
SQL Antipatterns, Volume 1

SQL is the ubiquitous language for software developers working with structured data. Most developers who rely on SQL are experts in their favorite language (such as Java, Python, or Go), but they're not experts in SQL. They often depend on antipatterns - -solutions that look right but become increasingly painful to work with as you uncover their hidden costs. Learn to identify and avoid many of these common blunders. Refactor an inherited nightmare into a data model that really works. Updated for the current versions of MySQL and Python, this new edition adds a dozen brand new mini-antipatterns for quick wins. No matter which platform, framework, or language you use, the database is the foundation of your application, and the SQL database language is the standard for working with it. Antipatterns are solutions that look simple at the surface, but soon mire you down with needless work. Learn to identify these traps, and craft better solutions for the often-asked questions in this bo ...
Program Management for Open Source Projects
Program Management for Open Source Projects

Every organization develops a bureaucracy, and open source projects are no exception. When your structure is intentional and serves the project, it can lead to a successful and predictable conclusion. But project management alone won't get you there. Take the next step to full program management. Become an expert at facilitating communication between teams, managing schedules and project lifecycle, coordinating a process for changes, and keeping meetings productive. Make decisions that get buy-in from all concerned. Learn how to guide your community-driven open source project with just the right amount of structure. Bureaucratic processes naturally develop in large organizations, and open source projects are no different. The trick is to keep the processes intentional and in service of the project. That's program management and you have probably been doing it even if you don't have that title. Make your open source projects successful, predictable, and enjoyable by applying the pri ...
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