Ai Engineering Productivity Cookbook
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AI engineering productivity cookbook
Unleash the potential of AI in software engineering for higher productivity and reduced time-to-market Realize the power of AI-assisted engineering for your business needs with our comprehensive AI Engineering Productivity Cookbook, designed for Engineering, Product, and Innovation teams. Based on Intellias 4-month AI Copilot Implementation program, our experts will guide you through integrating AI coding tools into your development processes, optimizing your workflow, and driving innovation. This playbook is your essential companion, whether you are leading a digital-native startup or navigating the digital transformation of a traditional enterprise. Explore how to effectively fuse AI into your software development lifecycle: From AI Theory to Practice Bridge the gap between AI’s potential and practical implementation strategies to accelerate your projects and address the challenges of technology evolution. AI-Assisted Engineering Learn how AI tools can automate routine coding tasks, improve code quality, and reduce time to market, all aimed at scaling development efforts without sacrificing quality. Advanced AI Features Discover advanced AI functionality that can predict development challenges, suggest optimizations, and personalize development strategies to fit your specific needs. Collaborative Development with AI Learn how AI can promote better interoperability among your development team, making remote and hybrid work environments more efficient and connected. Ethical Considerations and Security Practices Make sure your AI implementations maintain high security standards and adhere to regulatory requirements as well as ethical considerations, essential for preserving trust and integrity in your software. Building AI Products from Business and User Perspectives Align AI product development with business objectives and user expectations to create solutions that not only perform well but also deliver but also deliver on the promise of enhanced customer satisfaction and engagement. The Future of AI in Software Development Stay informed about the future trends of AI in the tech industry and prepare your team for upcoming innovations and shifts in the software development paradigm.
Data Engineering with Databricks Cookbook
Author: Pulkit Chadha
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-05-31
Work through 70 recipes for implementing reliable data pipelines with Apache Spark, optimally store and process structured and unstructured data in Delta Lake, and use Databricks to orchestrate and govern your data Key Features Learn data ingestion, data transformation, and data management techniques using Apache Spark and Delta Lake Gain practical guidance on using Delta Lake tables and orchestrating data pipelines Implement reliable DataOps and DevOps practices, and enforce data governance policies on Databricks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by a Senior Solutions Architect at Databricks, Data Engineering with Databricks Cookbook will show you how to effectively use Apache Spark, Delta Lake, and Databricks for data engineering, starting with comprehensive introduction to data ingestion and loading with Apache Spark. What makes this book unique is its recipe-based approach, which will help you put your knowledge to use straight away and tackle common problems. You’ll be introduced to various data manipulation and data transformation solutions that can be applied to data, find out how to manage and optimize Delta tables, and get to grips with ingesting and processing streaming data. The book will also show you how to improve the performance problems of Apache Spark apps and Delta Lake. Advanced recipes later in the book will teach you how to use Databricks to implement DataOps and DevOps practices, as well as how to orchestrate and schedule data pipelines using Databricks Workflows. You’ll also go through the full process of setup and configuration of the Unity Catalog for data governance. By the end of this book, you’ll be well-versed in building reliable and scalable data pipelines using modern data engineering technologies.What you will learn Perform data loading, ingestion, and processing with Apache Spark Discover data transformation techniques and custom user-defined functions (UDFs) in Apache Spark Manage and optimize Delta tables with Apache Spark and Delta Lake APIs Use Spark Structured Streaming for real-time data processing Optimize Apache Spark application and Delta table query performance Implement DataOps and DevOps practices on Databricks Orchestrate data pipelines with Delta Live Tables and Databricks Workflows Implement data governance policies with Unity Catalog Who this book is for This book is for data engineers, data scientists, and data practitioners who want to learn how to build efficient and scalable data pipelines using Apache Spark, Delta Lake, and Databricks. To get the most out of this book, you should have basic knowledge of data architecture, SQL, and Python programming.
RxJS Cookbook for Reactive Programming
Author: Nikola Mitrović
language: en
Publisher: Packt Publishing Ltd
Release Date: 2025-03-28
Build scalable, efficient applications with seamless async data handling and blazing-fast user experience by unleashing reactive programming with Angular Key Features Master RxJS observables, operators, and subjects to improve your reactive programming skills Explore advanced concepts like error handling, state management, PWA, real-time, and event-driven systems Enhance reactive skills with modern web programming techniques, best practices, and real-world examples Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionBuilding modern web applications that are responsive and resilient is essential in this rapidly evolving digital world. Imagine effortlessly managing complex data streams and creating seamless user experiences—this book helps you do just that by adopting RxJS to boost your development skills and transform your approach to reactive programming. Written by a seasoned software engineer and consultant with a decade of industry experience, this book equips you to harness the power of RxJS techniques, patterns, and operators tailored for real-world scenarios. Each chapter is filled with practical recipes designed to tackle a variety of challenges, from managing side effects and ensuring error resiliency in client applications to developing real-time chat applications and event-driven microservices. You’ll learn how to integrate RxJS with popular frameworks, such as Angular and NestJS, gaining insights into modern web development practices that enhance performance and interactivity. By the end of this book, you’ll have mastered reactive programming principles, the RxJS library, and working with Observables, while crafting code that reacts to changes in data and events in a declarative and asynchronous way.What you will learn Manage error handling, side effects, and event orchestration in your Angular and NestJS applications Use RxJS to build stunning, interactive user interfaces with Angular Apply Angular testing strategies to ensure the reliability of your RxJS-powered applications Optimize the performance of RxJS streams Enhance progressive web app experiences with RxJS and Angular Apply RxJS principles to build state management in Angular Craft reactive and event-driven microservices in NestJS Who this book is for This book is ideal for intermediate-to-advanced JavaScript developers who want to adopt reactive programming principles using RxJS. Whether you’re working with Angular or NestJS, you’ll find recipes and real-world examples that help you leverage RxJS for managing asynchronous operations and reactive data flows across both your frontend and backend.