Databricks Data Engineer Associate Certification course data engineering and data science on a unified platform.
Databricks provides a unified platform for data engineering, data science, and machine learning. It integrates with popular big data technologies, allowing users to perform data processing, analytics, and machine learning tasks in a single environment. With the growing adoption of the Databricks pla...
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Format: | Online |
Sprache: | eng |
Veröffentlicht: |
Sebastopol, California
O'Reilly Media, Inc.
2024
Sebastopol, CA O'Reilly Media Inc. |
Ausgabe: | [First edition] |
Schlagworte: | |
Online Zugang: | https://learning.oreilly.com/videos/~/0642572061371/?ar |
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Zusammenfassung: | Databricks provides a unified platform for data engineering, data science, and machine learning. It integrates with popular big data technologies, allowing users to perform data processing, analytics, and machine learning tasks in a single environment. With the growing adoption of the Databricks platform over the last few years, obtaining the Databricks Data Engineer Associate certification can enhance data engineering skills, boost career prospects, and demonstrate a commitment to continuous learning and professional development in the field of data engineering. This on-demand course helps learners prepare for the Databricks Certified Data Engineer Associate exam. Through a mix of concise presentations, demonstrations, and interactive assessment, the course thoroughly reviews the five domains of the exam: the Databricks Lakehouse platform, ELT with Apache Spark, incremental data processing, production pipelines, and data governance. Some of the topics within these domains that will be covered include lakehouse features, cluster management, table and view creation, data extraction and validation, Delta Lake ACID transactions, task management in Databricks Jobs, and the Unity Catalog. By the end of the course, learners will have the knowledge and skills necessary to pass this exam and become a certified Databricks Data Engineer Associate. |
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Beschreibung: | 1 Online-Ressource (1 video file (3 hr., 31 min.) sound, color |