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Data Science mit AWS
End-to-End-Pipelines für Continuous Machine Learning implementieren
- Übersetzt von
- Marcus Fraaß
2022
DE
Von der ersten Idee bis zur konkreten Anwendung: Ihre Data-Science-Projekte in der AWS-Cloud realisierenDer US-Besteller zu Amazon Web Services jetzt auf DeutschBeschreibt alle wichtigen Konzepte und die wichtigsten AWS-Dienste mit vielen Beispielen aus der PraxisDeckt den kompletten End-to-End-Prozess von der Entwicklung der Modelle bis zum ihrem konkreten Einsatz abMit Best Practices für alle Aspekte der Modellerstellung einschließlich Traini...
Data Visualization With Python
Choosing the Right Chart, Plotting Libraries, Clear Design, Dashboards and Reports People Actually Understand
2026
DE
Most charts fail before anyone reads them: the wrong chart type, a misleading axis, colours that vanish in print or for colour-blind readers. This book shows Python users how to fix that. You will turn a vague request into a clear question, pick the right chart from a decision table, and build bar charts, line charts, histograms, box plots, scatter plots and heatmaps with matplotlib, pandas and seaborn. Dedicated chapters cover titles and annotation, accessible colour, honest axes, static ...
OLAP Query Performance
Columnar Storage, Partitioning, Pre-Aggregation and Sub-Second Dashboards on Billion-Row Tables
2026
DE
A dashboard that takes forty seconds to load is rarely a hardware problem. It is a question of how many bytes your engine reads, how many rows it touches and how much work it repeats. This book gives data and analytics engineers a practical method for making very large analytical tables answer in under a second. You write a latency contract, inventory the queries that matter, then apply each lever in order of payoff: sound data types and column layout, sort order and data skipping, partiti...
Power BI Data Modelling Before DAX
Understand Relationships, Star Schemas, Filter Context, and Reliable Measures
2026
DE
Your report total is right until someone adds a slicer. Then a number doubles, a chart shows a stray blank bar, and the fix is another layer of formula. Most of these problems start in the model, not in the DAX. This book shows you how to design the model first. You will learn to set the grain of every table, split facts from dimensions, reshape a flat extract into a star schema, and choose the right relationship settings. You will see how filter context decides every number on a page, bui...
Local AI on Your Own Computer
Run Private Models, Build Useful Tools, and Keep Data Off the Cloud
2026
DE
You want the help of an AI model without pasting client files, drafts or personal notes into someone else's servers. This guide shows you how to run one on the computer you already own. You will estimate memory needs before you download anything, choose a model by task and licence, and understand quantization well enough to pick a compressed version that still passes your own tests. Then you set up a runner, close the quiet leaks around it, and verify with simple checks that your text stay...
Microservices Architecture
Service Boundaries, Communication, Data Ownership, Resilience, Deployment and When Not to Use Microservices
2026
DE
Splitting a system into services solves some problems and creates others. This book helps you decide, and then build it properly. It starts with an honest case for the modular monolith, then shows how to find boundaries from business capabilities, give each service its own data, and choose between synchronous calls and asynchronous messages. You will learn how sagas and the outbox pattern keep work consistent without distributed transactions, and how timeouts, retries with backoff, idempot...
NAS, RAID, and Backups Explained
Design Reliable Home Storage Without Confusing Redundancy with Data Protection
2026
DE
You bought a NAS, filled it with matching drives and ticked the mirror option, so your files are safe. Are they? RAID keeps working when a drive dies, but it faithfully copies deletions, ransomware and corruption to every disk. This book separates availability from protection in plain English. You will learn how drives really fail, what each RAID level costs and survives, why rebuilds are risky, and what checksums and snapshots add. Then you will design backups that actually work: a practi...
Aspect-Oriented Programming in Java and .NET
Enhancing Modularity and Separation of Concerns in Enterprise Applications
2026
DE
Logging, security, transactions, caching, retries — these concerns cut across every service method in every enterprise application, and implementing them manually produces the same boilerplate in hundreds of places. Aspect-Oriented Programming removes that duplication. This book teaches AOP on both sides of the enterprise divide. It covers AspectJ, the reference implementation whose vocabulary shaped every AOP framework after it. It covers Spring AOP, the proxy-based framework used by most...
Object-Oriented Programming Across Languages
Mastering Encapsulation, Inheritance, and Polymorphism in C#, Java, and Python
2026
DE
Object-oriented programming is not a single thing. It is a family of ideas that C#, Java, and Python realize in strikingly different ways. This book teaches the paradigm by showing every concept three times — once in each language — so you can move between them without losing your footing. It begins with encapsulation, inheritance, and polymorphism, then moves into abstract classes, interfaces, and the case for composition over inheritance. It covers design patterns, generics, exception hi...
Incident Response Tabletop Exercises
Realistic Scenarios for Ransomware, Data Leaks, and Cloud Breaches
2026
DE
When a real incident hits, there is no time to discover who has authority to shut a system down or who speaks to customers. This book shows you how to find out first, around a table, at no risk. You learn how to set objectives, invite the right people, run a session that gets honest answers, score it and turn the results into tracked fixes. Three complete scenarios are ready to run: ransomware, a data leak found from outside, and a cloud breach that starts with a leaked key. Each comes wit...
Everyday Cybersecurity for Small Businesses
Protect Accounts, Devices, Backups, Customer Data, and Payments
2026
DE
You run a business, not a security team, and the threats keep arriving by email, by invoice and through forgotten logins. This guide gives owners, office managers and the person who handles IT a short, ordered list of habits and settings that close the most common doors. You will protect your master-key accounts with a password manager and a second factor, spot phishing and impersonation, keep laptops and phones updated and encrypted, and build backups you have actually restored. It also c...
Data Engineering for Small Teams
Build Maintainable Pipelines, Quality Checks, and Useful Analytics
2026
DE
You are the developer, analyst or founder who ended up in charge of the numbers, with no data team and no time for a year-long platform project. This guide shows how to build a small, boring and dependable setup: loads that are safe to run twice, a clear raw, staging and mart structure, schedules that recover from failure, and a short list of quality checks that catch problems before your colleagues do. It then turns clean tables into agreed metrics and reports people actually open, and fi...











