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Data Engineering - Introduction

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With practical experience in platform architecture and data querying, this course offers a basic understanding of data engineering, covering important ideas, tools, and career pathways.

Key AI Functions:data science,database,information engineering,sql,nosql

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Description for Data Engineering - Introduction

Overview of Data Engineering and Its Functions: Acquire knowledge of the foundational principles of data engineering and explore the functions of Data Engineers, Data Scientists, and Data Analysts within the data ecosystem.
Data Ecosystem and Repositories: Study data structures, file formats, data sources, and examine various data repositories, including RDBMS, NoSQL databases, data warehouses, data marts, data lakes, and data lakehouses.
Processing and Integration of Big Data: Acquaint yourself with significant data tools such as Apache Hadoop and Spark, and comprehend ETL, ELT, data pipelines, and data integration.
Practical Experience and Professional Development: Engage in practical laboratories, execute querying operations, and acquire insights about data engineering career trajectories from seasoned individuals in the industry.

Level: Beginner

Certification Degree:Yes

Languages the Course is Available:22

Offered by: On Coursera provided by IBM

Duration: 3 hours (approximately)

Schedule: Flexible

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