Result for "Das System" in Data Science

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. 

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data...

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

The book Mastering AI Infrastructure and Cyber Security delves into the crucial aspects of safeguarding artificial intelligence (AI) systems and implementing robust infrastructure for AI applications. The book covers various topics, including AI algorithms, data privacy, cyber security threats, and defensive strategies.

In einer Welt, in der alles miteinander kommuniziert, entsteht eine neue Art von Intelligenz: vernetzt, effizient und nachhaltig. Dieses Buch zeigt, wie IoT, LoRaWAN und smarte Netzwerke zusammenwirken, um Prozesse zu optimieren, Energie zu sparen und neue digitale Lösungen zu schaffen. Du erfährst Schritt für Schritt, welche Einsatzmöglichkeiten moderne IoT-Systeme bieten.

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

Transform chaotic spreadsheets into reliable data pipelines with this essential guide to modern data engineering. Perfect for your morning commute or focused study sessions, this empowering narrative demystifies how raw information becomes trustworthy business intelligence. Follow the fictional...

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

絶え間なく増大するデータ負荷とシステム障害の恐怖を、スケーラブルな設計原理と確固たる分散システムの知識で打ち砕く、エンジニアのための実践的な羅針盤です。毎日の通勤時間や、静かな集中学習のひとときに耳...

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.

Transform chaotic security logs into robust data pipelines for rapid threat detection and proactive incident response. Perfect for your focused morning commute, this analytical journey rescues overwhelmed technical professionals drowning in fragmented data. Regain control of your hybrid cloud...

Transform emotional gut-feel investing into disciplined algorithmic trading systems that survive real market volatility. Perfect for a focused commute, this analytical guide strips away the hype of easy profits. You will master the exact quantitative workflows needed to design, test, and deploy...

In today's data-driven world, cloud storage is no longer optional—it is the backbone of modern business, government, and digital life. The Complete Guide to Modern Cloud Storage Systems delivers a clear, comprehensive exploration of how cloud storage works, why it matters, and how to design systems that are secure, scalable, and future-ready. This audiobook takes listeners deep into the architecture of modern storage environments—from foundational infrastructure and distributed systems to advanced security protocols, encryption models, redundancy strategies, and compliance frameworks.

In the age of artificial intelligence, machine learning, and data-driven innovation, the quality and quantity of data have become critical to success. Yet real-world data is often incomplete, biased, sensitive, or scarce. Data Generation explores how synthetic, real, and simulated data can be strategically created and used to overcome these limitations—fueling smarter systems, scalable solutions, and more ethical outcomes.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

This is a two book bundle related to data analytics and beginning your quest to understand the Linux Command Line Operating System.

Slow systems are frustrating. They waste time and money. But making consistently great decisions about performance can be easy, if you understand what's going on. This book explains in a clear and thoughtful voice why systems perform the way they do. It's for anybody who's curious about how computer programs and other processes use their time and about what you can do to improve them. Through a mix of personal vignettes and technical use cases, Cary Millsap reviews the process of improving performance and provides best practices for optimizing systems efficiently.