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Security Architecture for Hybrid Cloud: A Practical Method Designing Using Zero Trust Principles

Salesforce Certified Administrators Study Guide: Launch and Elevate Your Career

Delta Lake: Up and Running: Modern Data Lakehouse Architectures with Lake

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

Go Cookbook: Expert Solutions for Commonly Needed Tasks

AI Systems Performance Engineering: Optimizing Hardware, Software, and Algorithms for Efficient Training Inference

The Elements of Voice First Style: A Practical Guide to User Interface Design

MLOps with Databricks: Machine Learning End to

Microsoft Power Automate Cookbook: Automating Business Processes Easily, Intuitively, and Quickly

Kubernetes Operators: Automating the Container Orchestration Platform

Cockroachdb: The Definitive Guide: Distributed Data at Scale

Perl Best Practices: Standards and Styles for Developing Maintainable Code

97 Things about Ethics Everyone in Data Science Should Know: Collective Wisdom...

Ipv6 Address Planning: Designing an Plan for the Future

Implementing Data Mesh: Design, Build, and Implement Contracts, Products, Mesh

ASYNC Rust: Unleashing the Power of Fearless Concurrency

Serverless Development on AWS: Building Enterprise Scale Solutions

Learning Agile: Understanding Scrum, Xp, Lean, and Kanban

Designing Delivery: Rethinking It in the Digital Service Economy

Domain Driven Transformation: Modernize Legacy Systems and Mitigate Risk

Data Contracts: Developing Production Grade Pipelines at Scale

Web Performance Engineering in the Age of AI: Mastering Speed and Quality...

Hot Seat: The Startup CEO Guidebook

Spark The Definitive Guide: Big data processing made simple

Learning Virtual Reality: Developing Immersive Experiences and Applications for Desktop, Web, Mobile

Software Architecture: The Hard Parts: Modern Trade Off Analyses for Distributed Architectures

Answer Engine Optimization: A Field Guide for Navigating AI Driven Search and Discovery

Llms and Generative AI for Healthcare: The Next Frontier

Practical Python Data Wrangling and Quality: Getting Started with Reading, Cleaning, Analyzing

Fundamentals of Data Engineering: Plan and Build Robust Systems