Machine learning isn’t just about training models. It’s about engineering entire systems that scale, adapt, and survive in the real world.If you’re a machine learning engineer, system architect, data scientist, or tech lead building production-grade ML products, you already know: the hardest part of ML isn’t building a model. It’s everything that comes after.The Machine Learning System Design Bible is your end-to-end survival guide for arch...

Update Your Architectural Practices for New Challenges, Environments, and Stakeholder Expectations"I am continuously delighted and inspired by the work of these authors. Their first book laid the groundwork for understanding how to evolve the architecture of a software-intensive system, and this latest one builds on it in some wonderfully actionable ways."--Grady Booch, Chief Scientist for Software Engineering, IBM Research

Business Intelligence describes the basic architectural components of a business intelligence environment, ranging from traditional topics such as business process modeling, data modeling, and more modern topics such as business rule systems, data profiling, information compliance and data quality, data warehousing, and data mining. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowle...

"Dataiku Platform Foundations"Dataiku Platform Foundations offers a comprehensive guide to mastering the architectural, operational, and analytical core of the Dataiku Data Science Studio (DSS). Beginning with a detailed exploration of Dataiku’s modular architecture—including its processing engines, storage management, and system integration capabilities—this book equips readers with the foundational knowledge required to build scalable, resilient, and extensible data pipelines. Re...

Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise. - Guides the reader in assessing the opportunities and value proposition - Overview of big ...

MLOps, a combination of DevOps, data engineering, and machine learning, is crucial for delivering high-quality machine learning results due to the dynamic nature of machine learning data. This book delves into MLOps, covering its core concepts, components, and architecture, demonstrating how MLOps fosters robust and continuously improving machine learning systems.By covering the end-to-end machine learning pipeline from data to deployment, the book helps readers implement MLOps workflows. ...

"Databricks Essentials: A Guide to Unified Data Analytics" delivers a comprehensive exploration of the contemporary Databricks platform, designed to empower professionals seeking to harness the capabilities of data analytics, engineering, and machine learning in an integrated environment. This book provides a structured approach, guiding readers through meticulously crafted chapters that cover every aspect of Databricks—from establishing a foundational understanding to advanced performance...

���� Welcome to the ultimate resource for mastering IT troubleshooting skills! ����️Introducing the "IT Troubleshooting Skills Training" book bundle, your comprehensive toolkit for navigating the complexities of IT problem-solving like a pro. ����Whether you're an aspiring analyst or a seasoned manager, this bundle is your passport to success in the fast-paced world of IT. �������� Book 1 - Foundations of IT Troubleshooting: A Beginner's Guide Embark on your journey...

The only MLOps guide you'll ever needKey Features● Acquire a comprehensive understanding of the entire MLOps lifecycle, from model development to monitoring and governance.● Gain expertise in building efficient MLOps pipelines with the help of practical guidance with real-world examples and case studies.● Develop advanced skills to implement scalable solutions by understanding the latest trends/tools and best practices....

Explore how Delta brings reliability, performance, and governance to your data lake and all the AI and BI use cases built on top of itKey FeaturesLearn Delta’s core concepts and features as well as what makes it a perfect match for data engineering and analysisSolve business challenges of different industry verticals using a scenario-based approachMake optimal choices by understanding the various tradeoffs provided by DeltaBook De...

Do you provide tenants with infrastructure service failover capability to other providers?How can the review and application of current research enhance your leadership practices?How does api architecture fit in the surrounding technical architecture of an enterprise?How long does it typically take your organization to mitigate and stop an insider attack?Is there a simpler protocol if you restrict your security tokens only to SAML assertions?What are...

"BACnet Engineering and Protocol Design"Comprehensive and meticulously structured, "BACnet Engineering and Protocol Design" is the definitive resource for understanding the technical foundations and modern applications of the BACnet protocol in building automation systems (BAS). Beginning with a thorough historical and conceptual overview, the book explores BACnet’s evolution, its regulatory standing as an international standard, and practical use cases that illustrate its critical...