This course provides a comprehensive guide to mastering data engineering, where you'll learn to build robust data pipelines, delve into ETL (Extract, Transform, Load) processes, and handle large datasets using Hadoop. You will gain expertise in extracting data from various sources, transforming it into a usable format, and loading it into data warehouses or big data platforms. With hands-on experience in Hadoop, the industry-standard framework for handling massive datasets, you’ll learn to manage and process massive datasets efficiently. Whether you're a beginner or an experienced professional, this course equips you with the skills to design, implement, and manage data pipelines, making you a valuable asset in any data-focused organization.
Empfohlene Erfahrung
Was Sie lernen werden
Analyse the architecture and components of data pipelines to understand their impact on data flow and processing efficiency.
Implement robust ETL processes, for scalability and maintainability.
Analyze big data challenges and introduce Hadoop ecosystem tools (HDFS, MapReduce, Hive, Pig, and Spark) for data processing tasks.
Kompetenzen, die Sie erwerben
- Kategorie: Hadoop Ecosystem
- Kategorie: Data Storage Solutions
- Kategorie: Data Analysis
- Kategorie: Scalability
- Kategorie: Data Pipelines
Wichtige Details
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September 2024
1 Aufgabe
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In diesem Kurs gibt es 1 Modul
This course provides a comprehensive guide to mastering data engineering, where you'll learn to build robust data pipelines, delve into ETL (Extract, Transform, Load) processes, and handle large datasets using Hadoop. You will gain expertise in extracting data from various sources, transforming it into a usable format, and loading it into data warehouses or big data platforms.
Das ist alles enthalten
12 Videos4 Lektüren1 Aufgabe2 Diskussionsthemen
Dozent
Empfohlen, wenn Sie sich für Data Analysis interessieren
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