Im Rampenlicht
Was ist die Medallion-Architektur? Bronze-, Silber- und Gold-Ebenen erklärt
Die Medallion-Architektur organisiert Lakehouse-Daten in Bronze-, Silber- und Gold-Ebenen – jeweils mit eigenen Qualitätssicherungen. Erfahre, wofür jede Ebene verantwortlich ist, wie Silber und Gold bei Schema- oder Logikänderungen aus bewahrten Rohdaten neu aufgebaut werden – und wann zwei Ebenen die bessere Wahl sind.
Srujana Maddula
Tom Farnschläder
14. September 2026
Neueste
Die besten Cursor-Alternativen 2026 nach Coding-Workflow
11. September 2026
Training für 2 oder mehr Personen?Probiere es mit DataCamp for Business
Im Trend
12 GPT-4 Open-Source-Alternativen
GPT-4 Open-Source-Alternativen, die eine ähnliche Leistung bieten können und weniger Rechenressourcen für die Ausführung benötigen. Diese Projekte werden mit Anleitungen, Codequellen, Modellgewichten, Datensätzen und Chatbot-UI geliefert.
Abid Ali Awan
10. September 2024
12 GPT-4 Open-Source-Alternativen
GPT-4 Open-Source-Alternativen, die eine ähnliche Leistung bieten können und weniger Rechenressourcen für die Ausführung benötigen. Diese Projekte werden mit Anleitungen, Codequellen, Modellgewichten, Datensätzen und Chatbot-UI geliefert.
Abid Ali Awan
10. September 2024
Alle Beiträge
What Does a Data Engineer Do?
Curious about what a data engineer does? We break down the different data engineer roles & career paths and look at a typical data engineering project.
Joleen Bothma
5. Oktober 2022
The Machine Learning Life Cycle Explained
Learn about the steps involved in a standard machine learning project as we explore the ins and outs of the machine learning lifecycle using CRISP-ML(Q).
Abid Ali Awan
3. Oktober 2022
5 Ways to Use Data Science in Marketing
Discover five ways you can use data science in marketing. Get ahead of the game, improve your data skills, and work on a data science marketing project.
Natassha Selvaraj
30. September 2022
What is Business Analytics? Everything You Need to Know
We explain what business analytics is, why it's important, the different aspects of business analytics, and the tools most commonly used.
Joleen Bothma
30. September 2022
10 Signs of Bad Data: How to Spot Poor Quality Data
Learn how to spot bad data, exploring why data quality matters, the cost of poor data, and the 10 signs of bad data.
Kurtis Pykes
29. September 2022
[Infographic] 5 Best Practices for Building a Data Academy
With the rising need for data skills, organizations are building internal data academies to accelerate their data transformation. Here are 5 best practices learned from DataCamp for Business customers.
DataCamp Team
28. September 2022
YOLO Object Detection Explained
Understand YOLO object detection, its benefits, how it has evolved over the years, and some real-life applications.
Zoumana Keita
27. Februar 2026
[Infographic] Dashboard Design Checklist
Dashboards are one of the most useful tools when communicating data stories. Here is a handy checklist to keep in mind when designing your next dashboard.
DataCamp Team
22. September 2022
Classification in Machine Learning: An Introduction
Learn about classification in machine learning, looking at what it is, how it's used, and some examples of classification algorithms.
Zoumana Keita
8. August 2024
5 Essential Data Engineering Skills For 2026
Discover the data engineering skills you need to thrive in the industry. Find out about the roles and responsibilities of a data engineer, and how you can develop your own skills.
Joleen Bothma
7. Februar 2025
Introducing Our New DataCamp Certification Advisory Panel
DataCamp welcomes the members of our first Certification Advisory Panel. The advisors will join us in ensuring our data certifications are reflective of current industry standards.
Aimee Gott
19. September 2022
8 Machine Learning Models Explained in 20 Minutes
Find out everything you need to know about the types of machine learning models, including what they're used for and examples of how to implement them.
Natassha Selvaraj
16. September 2022