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# Introduction-to-Data-Engineering
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datacamp data engineer introduction course
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CAREER TRACK
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**Data Engineer with Python**
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In this track, you’ll discover how to build an effective data architecture, streamline data processing, and maintain large-scale data systems. In addition to working
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with Python, you’ll also grow your language skills as you work with Shell, SQL, and Scala, to create data engineering pipelines, automate common file system tasks, and
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build a high-performance database.
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Through hands-on exercises, you’ll add cloud and big data tools such as AWS Boto, PySpark, Spark SQL, and MongoDB, to your data engineering toolkit to help you create
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and query databases, wrangle data, and configure schedules to run your pipelines. By the end of this track, you’ll have mastered the critical database, scripting, and
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process skills you need to progress your career.
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Please note this track assumes a fundamental knowledge of Python and SQL.

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