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Majors C: Observability Engineering

Observability Engineering

Achieving Production Excellence

Using Oracle and PostgreSQL

Database Design, Query Formulation, and Administration

A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.

The fundamentals are still here: You’ll learn how statistics and indexes impact performance, how to identify poorly performing queries, and how to discover effective solutions. But this new edition also includes advanced features unique to SQL Server 2025, such as AI integration for automatic tuning, insights on using extended events, automatic execution plan correction, and more. It’s a must-have resource designed to empower you to troubleshoot slow-performing queries and make them run faster than ever.

The book is a treasure trove of instruction, insight, and advice. As you dive in, you’ll encounter key fundamentals, from statistics and data distribution to cardinality and parameter sniffing, and learn to analyze and design your indexes and queries using best practices that prevent performance problems before they occur. You’ll also explore advanced features like Query Store for managing and controlling execution plans, automated performance tuning, and memory-optimized OLTP tables and procedures—and learn how SQL Server 2025 makes it all more powerful and automatable than ever.

What You Will Learn

Use Query Store to understand and easily change query performance

Recognize and eliminate bottlenecks leading to slow performance

Tune queries whether on-premises, in containers, or on cloud platform providers

Implement best practices in T-SQL to minimize performance risk

Design in the performance that you need through careful query and index design

Understand how built-in, automatic tuning can assist your performance enhancement efforts

Protect query performance during upgrades to the newer versions of SQL Server




Who This Book Is For

Developers and database administrators with responsibility for query performance in SQL Server environments, and anyone responsible for writing or creating T-SQL queries and in need of insight into bottlenecks—including how to identify them, understand them, and eliminate them

Troubleshoot and Optimize Query Performance

SQL Server 2025 Query Performance Tuning

Is your frontend slowing down innovation and complicating team collaboration? Consider micro-frontends--a practical way to break development silos and accelerate feature delivery. In this updated second edition, software architects, tech leads, and software developers will learn how to design, build, and deploy independent micro-frontends that compose unique frontend systems. Author Luca Mezzalira, principal serverless specialist solutions architect at AWS, shows you how micro-frontends enable agility within an organization, decentralize decision-making, and optimize for fast flow. This gives your organization technical flexibility and allows you to hire and retain a broad spectrum of talent. Micro-frontends also support distributed or colocated teams more efficiently. Start transforming your frontend strategy today with proven techniques for speed of delivery, autonomy, and scale. <ul> <li>Accelerate delivery with four foundational pillars for micro-frontend success</li> <li>Apply actionable principles and best practices to empower your teams</li> <li>Navigate the benefits and pitfalls of micro-frontend architectures</li> <li>Integrate micro-frontends seamlessly with microservices and distributed systems</li> <li>Architect client-side and server-side micro-frontend solutions for maximum impact</li> </ul>

Distributed Systems for the Frontend

Building Micro-Frontends

A roadmap for business leaders to unlock the full potential of data, machine learning, and artificial intelligenceNinety-nine percent of businesses surveyed say that data and AI are a top priority--but two-thirds admit to feeling stuck. What most leaders miss is that to succeed at becoming a data-driven business requires developing a nuanced understanding of why data holds such transformative power, what a data-inspired culture looks like, and how to get there.Data Inspired shows that the secret isn't to be more data-driven--it is to become data-inspired. This book reveals the crucial strategic distinction between using data to optimize existing operations and using them as a catalyst for deep transformation and innovation. Wernicke argues that success hinges less on technology and more on reshaping an organization's culture and decision-making habits. And with this book's proven principles, real-world examples, and comprehensive toolbox of methods for building a culture of evidence-based inquiry, readers will learn that success means far more than just adding more data to a business: it is about creating a thoroughly data-inspired organization with innovative work methods, new structures, and unmatched efficiency.Data Inspired will help business leaders, managers, and data professionals move beyond incremental improvements to achieve lasting, powerful change.

Building an Organizational Culture of Inquiry for Lasting Transformation

Data Inspired

The vast potential of AI technology remains untapped in areas like audio, video, and complex data analysis. In fact, many of today's professionals find it challenging to apply AI innovations across these diverse domains due to a lack of guidance and practical implementations.This comprehensive guide, tailored especially for intermediate to advanced ML engineers, data scientists, and researchers, fills the gap. Author Nicole Koenigstein guides readers through the versatile applications of transformer models, not only deepening theoretical understanding but also emphasizing actionable strategies for real-world applications. The book equips you with a grand unified theory for transformers--foundational insights that keep you on the cutting edge regardless of state-of-the-art model evolutions. You'll discover how to apply: <ul><li>Transformers in nontext domains like image, video, and music generation</li> <li>Reasoning models, coding agents, and multi-agent architectures</li> <li>Training-time and test-time optimization strategies</li> <li>Production deployment, runtime engineering, and hardware efficiency</li></ul>

Applications Beyond Nlp

Transformers: The Definitive Guide

Python Automation For Dummies

mitp Professional

<ul><li>Praxisorientierte Einführung für Data Engineers, Data Scientists, Data Analysts, Studierende, angehende Datenexperten und Entscheidungsträger</li>
<li>Von der Datenspeicherung und -verarbeitung über Data Science bis hin zur Datenvisualisierung mit Power BI</li>
<li>Zahlreiche Visualisierungen und ein durchgängiges Beispielprojekt erleichtern das Verständnis</li></ul>
 

Microsoft Fabric Schritt für Schritt
Mit diesem Buch erhalten Sie eine praxisorientierte Einführung in die einzelnen Komponenten der All-in-One-Datenplattform Microsoft Fabric. Es eignet sich sowohl für Einsteiger als auch für Expertinnen und Experten im Datenbereich. Ein grundlegendes Verständnis von Daten sowie erste Erfahrungen mit Python und SQL sind an einigen Stellen von Vorteil.

Praktische Einführung anhand eines durchgehenden Beispielprojekts
Anhand eines fiktiven Beispiels wird ein komplettes End-to-End-Datenprojekt in Microsoft Fabric umgesetzt, wobei alle relevanten Schritte - von der Datenanbindung über Datentransformationen bis hin zum finalen Dashboard - detailliert erläutert werden. Sie haben die Möglichkeit, alle Schritte selbst umzusetzen und das komplette Beispielprojekt praktisch nachzuvollziehen.

Mit anschaulichen Visualisierungen
Alle Komponenten von Microsoft Fabric werden anhand einer Reise durch eine fiktive Datenfabrik veranschaulicht und mit zahlreichen Illustrationen visualisiert. Auf diese Weise werden sowohl grundlegende Konzepte als auch Best Practices für die Umsetzung von Datenprojekten mit Microsoft Fabric leicht verständlich erläutert.

Aus dem Inhalt
<ul><li>Grundlegende Einführung in die wichtigsten Komponenten</li>
<li>Arbeitsbereich einrichten</li>
<li>Datenexploration (CSV, Excel, XML, JSON)</li>
<li>Datenspeicherung mit OneLake</li>
<li>Lakehouse und Warehouse für eine Medaillon-Architektur</li>
<li>Data Engineering und Orchestrierung</li>
<li>Machine-Learning-Modell für Data Science erstellen</li>
<li>Datenanalyse mit SQL</li>
<li>Datenvisualisierung mit Power BI</li>
<li>Überwachungshub und Warnungen</li></ul>


Zum Download:
Alle notwendigen Dateien für das Beispielprojekt

Der praktische Einstieg in die All-In-One-Datenplattform für Data Science & Co

Microsoft Fabric

As AI continues to speed up software delivery, the need for comprehensive quality assurance has never been greater. This new edition of Full Stack Testing is your essential guide to high-quality software testing across every layer of modern web and mobile applications. Industry expert Gayathri Mohan explores 10 different testing skills across functional and nonfunctional testing and automation, including a focus on adopting AI-driven tools and workflows. This updated edition covers mobile, web, data, security, performance, accessibility, and other testing types and presents concrete strategies, tool selection criteria, and automation techniques proven to scale. Packed with actionable insights and exercises on over 40 testing tools, it prepares readers to build high-quality software immediately in fast-paced, high-stakes environments. <ul> <li>Implement effective testing strategies and test automation across web, mobile, and backend systems</li> <li>Address essential nonfunctional requirements testing such as performance, security, and accessibility, among many others</li> <li>Incorporate AI testing tools for both functional and nonfunctional testing and automation</li> <li>Integrate testing in CI/CD workflows for faster, safer releases</li> <li>Expand your career potential by building a well-rounded testing skill set</li> </ul>

A Practical Guide for Delivering High Quality Software in the Age of AI

Full Stack Testing

You know how to code, but you're ready to level up. You've heard about the power and performance of C++, a language vital to fields like AI, game development, and high-performance computing. But where do you even start? Existing resources are outdated or overly academic, or they assume a deep understanding of C. You need a guide that respects your existing skills and gets you coding fast with modern C++. This book cuts through the noise, focusing on the essential elements of C++ with hands-on projects that quickly build your skills and confidence. Author and C++ expert Frances Buontempo gets you up to speed quickly with the latest features and best practices of the language, preparing you for more advanced exploration. <ul> <li>Write clean and efficient C++ code </li><li>Understand core concepts and syntax </li><li>Apply various programming approaches, from OOP to functional styles </li><li>Read and understand complex C++ definitions and resources
</li></ul>

The Easy Way to Start Learning Modern C++

Introducing C++

Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to power their business-critical applications. This book offers practical and concise recipes on how and when to successfully leverage Neo4j into architectures. Authors Christophe Willemsen and Luanne Misquitta walk you through typical Neo4j implementation strategies from proof of concept to iterative improvements and, finally, to production readiness and beyond. By the end of this book, you should understand how to: <ul> <li>Make practical decisions in the proof of concept stage to maximize value </li><li>Revisit and revise your decisions when transitioning to production </li><li>Configure and implement observability features for in-production data graphs </li><li>Integrate graph databases into existing enterprise architectures </li></ul>

Hands-On Recipes for Production Ready Graph Implementations

Neo4j: The Definitive Guide

Independently published

Ship Real Software Without Writing a Single Line: The Non Coder's Playbook for Building Apps, Tools, and Products That Actually Work

Vibe Coding

What if your AI systems could retrieve information, reason over complex knowledge, plan actions, and continuously learn--with enterprise-grade security and compliance? Agentic GraphRAG guides technical leaders, engineers, and architects through the next evolution of GenAI. Combining retrieval-augmented generation (RAG) with graph-based reasoning and agentic capabilities, this guide is a blueprint for building scalable, auditable, intelligent systems. Written by Anthony Alcaraz and Sam Julien, this book demystifies knowledge graphs, graph memory, neural-symbolic reasoning, and agent orchestration through real-world case studies, hands-on design patterns, and production-ready architectures. Readers will learn how to construct graph-native retrieval systems, integrate advanced reasoning into agent workflows, and address enterprise challenges around governance, scalability, and transparency. <ul> <li>Design graph-augmented architectures that surpass traditional RAG </li><li>Implement agents with dynamic memory, planning, and decision-making capabilities </li><li>Integrate knowledge graphs with LLMs </li><li>Deploy scalable, governable multi-agent systems ready for production environments </li></ul>

Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI

Agentic GraphRAG

Observability Engineering

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