Cloud-Based Data Processing Tools
Data Science · Further Education · Cloud Computing for Data Science
This unit introduces cloud-based data processing tools such as Hadoop, Spark, and Flink. Students will learn how to use these tools to process and analyze large datasets in the cloud, gaining proficiency in essential data science techniques.
Zum Üben gibt es 46 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Cloud-Based Data Processing
- Hadoop Architecture and Components
- Hadoop Cluster Types and Use Cases
- Spark Architecture and Features
- Spark vs. Hadoop
- Flink for Streaming Data Processing
- Applications of Cloud-Based Data Processing Tools
Stichworte
- Hadoop
- Spark
- Flink
- Big Data
- Cloud Computing
- Data Processing
- Data Analytics