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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...
Medical Billing and Coding Career Guide
A Beginner's Introduction to the Revenue Cycle, Code Sets, Claims and Denials, Training, Certification Choices
2026
DE
Thinking about a desk-based healthcare job but unsure where billing and coding really leads? This plain-English introduction explains what billers and coders do, where they work, and what to expect from pay, schedules and entry-level hiring. You will follow the revenue cycle from patient registration to payment, learn how diagnosis and procedure codes, modifiers and medical necessity fit together, read claim forms and remittances, and handle denials and appeals, all with simple worked exam...
Data Analysis With Python
Load, Clean, Reshape and Summarize Real Datasets with Tables, Grouping, Merges and Charts
2026
DE
Someone hands you a messy file and says, "Can you just do it in Python?" This book shows you how, step by step. Using one small online shop as a running example, you learn to load files with the right options, fix text, number and date columns, and decide what to do about missing, duplicate and suspicious values. You then summarize with grouping and pivot tables, reshape tables between long and wide forms, merge several files without silently losing or multiplying rows, work with dates and...
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 Lakehouse Architecture
Iceberg, Delta, Hudi, and the modern analytics stack.
2026
DE
The data lakehouse is the architectural answer to a problem that has plagued analytics for twenty years. The data warehouse is fast but expensive, closed, and locked to its vendor. The data lake is cheap and open but unreliable, prone to corruption, and impossible to query with the confidence a business demands. The lakehouse takes the openness and cost of object storage and layers on the transactional guarantees of a warehouse, using an open table format as the bridge between them. Data L...
SQL for Real-World Analysis
Turn Messy Data into Reliable Queries, Reports, and Business Insights
2026
DE
Your query runs, the totals look plausible, and then someone shows you a different number. This book teaches the habits that stop that from happening. Through one fictional online shop, you learn to define the question and the grain before you write any SQL, profile messy columns, and clean them inside the query so the fix is visible. You then join tables without double counting, aggregate correctly around missing values, handle dates, time zones and customer cohorts, and use window functi...
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...
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...
Disaster Recovery Planning
Backups, Restore Tests, RPO and RTO, Immutable Copies and Runbooks for IT Teams That Cannot Lose Data
2026
DE
A deleted table, an encrypted file server or a locked cloud account should be a bad day, not the end of the business. This book gives IT teams, sysadmins and small service providers a complete recovery program they can apply at their own desks. You will turn vague demands into signed RPO and RTO targets, map what must come back first, design backups around the restore, and add immutable and offline copies without runaway cost. You will learn to protect the backup system itself, run restore...
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...
Privacy Engineering for Product Teams
Data Minimization, Consent, Retention, and Secure Product Design
2026
DE
Your team ships features every week, and each one quietly decides what personal data you collect, who sees it and how long it stays. This book helps product managers, designers and engineers make those decisions on purpose. You will write a one-page privacy brief, map the data you really hold, collect less and less precisely, design consent flows that people can understand and undo, and set retention schedules that code actually enforces. It also covers analytics and logs, internal access ...











