University · Computer Science · Data Science and Big Data Technologies
Apache Spark: Distributed Data Processing, DataFrames, and Machine Learning Pipelines
4 Abschnitte1 Karteikarten-Decks1 Quizze
In-depth coverage of Apache Spark's architecture (Driver, Executors, Cluster Manager), RDDs, Lazy Evaluation, Spark SQL and DataFrames, MLlib machine learning pipelines, Structured Streaming, and performance optimization techniques including the Catalyst Optimizer and Tungsten Engine.
Inhaltsübersicht
- Spark Architecture: Driver, Executors, and Cluster Manager
- RDDs, Lazy Evaluation, and Spark SQL with DataFrames
- Spark MLlib: Feature Transformers, Estimators, and Pipelines
- Spark Structured Streaming and Performance Optimization
📚 Vollständiges Lernmaterial mit 4 Abschnitten, Karteikarten und Quizzen verfügbar nach Anmeldung.
Jetzt kostenlos lernen →Related Topics
- Introduction to Data Science: Data Lifecycle, Process Models, and Tools
- Data Preprocessing: Cleaning, Transformation, and Feature Engineering
- Big Data Fundamentals: The Hadoop Ecosystem, MapReduce, and Distributed File Systems
- Stream Processing and Real-Time Data Processing: Kafka, Flink, and Event-Driven Architecture
- Data Visualization and Dashboards: Principles, Tools, and Data Storytelling
Interaktiv lernen mit Karteikarten & Quizzen
Melde dich an und lerne Data Science and Big Data Technologies mit intelligenten Wiederholungen, Quizzen und KI-Lernhilfen. 7 Tage kostenlos.
Kostenlos testen