Zeigt Titel in Data Science

当流量激增、系统濒临崩溃，如何通过高扩展性架构与分布式系统原理，将数据密集型的性能瓶颈转化为吞吐量奇迹？告别繁杂的具体技术栈束缚，直击百万级并发背后的底层逻辑。无论你是在通勤路上准备高级架构师面试，...

Ontsleutel de geheimen van kunstmatige intelligentie en machine learning zonder overweldigende code of wiskunde. Perfect voor tijdens je wekelijkse woon-werkverkeer of een stevige wandeling, ontdek je hoe systemen zelfstandig onzichtbare patronen herkennen in enorme datastromen. Je...

面对海量零碎信息却无法做出精准的商业决策，这本零基础数据分析指南将帮你打破僵局。无论你是面对复杂报表感到焦虑的职场新人，还是渴望提升逻辑思考能力的管理者，都能在这套无需编程基础的实用体系中找到突围路...

当业务呈指数级暴涨，系统却深陷数据沼泽与高昂云成本时，你需要一套从底层数据流到顶层架构的实用治理策略。每天应对混乱的报表、模糊的责任边界与随时崩溃的基础设施，正让你的技术团队疲于奔命。摆脱特定工具的...

Escale a arquitetura de dados e a governança corporativa sem travar a velocidade e a inovação do seu negócio. Perfeito para líderes de TI ouvirem no trajeto para o escritório, este guia pragmático transforma o caos tecnológico em processos operacionais estruturados. Conecte decisões...

Domine a análise de dados sem jargões e transforme números confusos em decisões seguras para sua rotina e carreira. Ideal para ouvir no trânsito ou na mesa do escritório, este guia prático substitui a ansiedade e o achismo por uma lógica acessível e direta. Você aprenderá a estruturar...

حوّل فوضى المعلومات إلى قرارات ذكية مع هذا الدليل العملي لأساسيات تحليل البيانات بعيدًا عن التعقيد التقني. إذا كنت تشعر بالضياع وسط الأرقام وتطمح لتعزيز مسارك...

Domina il caos dei big data e scala la tua architettura bilanciando robustezza tecnica e obiettivi di business. Se guidi un'organizzazione in ipercrescita, sai quanto l'aumento vertiginoso di volume e velocità possa paralizzare le operazioni. Questo ascolto offre una bussola pragmatica per...

تجاوز تحديات تصميم الأنظمة المعقدة وابنِ تطبيقات قابلة للتوسع تعالج تيرابايتات من البيانات بثقة هندسية مطلقة. سواء كنت تستمع أثناء تنقلاتك اليومية لتطوير مسارك...

数式の暗記や難解な証明に悩むことなく、データサイエンスと機械学習を支える数学の「真の意味」を直感的にマスターしましょう。通勤電車の中や日々のウォーキング中など、まとまった机上の時間が取れない忙しい日...

Do you need to learn how to use SQL in order to properly manage a database? Do you want to learn SQL programming without complicated explanations? SQL for Beginners: A Step by Step Guide to Learn SQL Programming and Database Management Systems is an easy to digest and fast-paced guide to learning Structured Query Language (SQL), which is the industry standard programming language for defining and analyzing data in databases. The audiobook will focus on how to use SQL in order to process your data and find out what it means.

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.

Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data—to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others.

Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.

Computer science is a field that deals with the study of computers and computational systems. It encompasses both the theoretical and practical aspects of computing, including algorithms, data structures, programming languages, software engineering, and more. It's about understanding how computers work, how they can solve problems, and how they interact with humans and other systems.

There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling innovation. The second is the dawn of the AI age, propelled by the advent of Generative AI...

Master the fundamentals of networking and confidently prepare for the Cisco Certified Network Associate (CCNA) exam with this comprehensive guide. This book equips you with the knowledge and skills required to excel in today's dynamic networking landscape.

Blockchain is the technology behind Bitcoin, the revolutionary "virtual currency" that's changing the way people do business. While Bitcoin has enjoyed some well-deserved hype, Blockchain may be Bitcoin's most vital legacy. Blockchain for Dummies is the ideal starting place for business pros looking to gain a better understanding of what Blockchain is, how it can improve the integrity of their data, and how it can work to fundamentally change their business and enhance their data security.

Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices.

Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes.