Data Engineering Foundations

Topic
Software & Systems
Subtopic
Data Storage

Cost: Subscription or purchase
Duration: 1.5 Hour(s)
Certification Available: Yes
Course Level: Introductory
Prerequisites: None
Administered By: LinkedIn Learning/Tyagi
Description
Covers key topics like data wrangling, database schema, and developing ETL pipelines. He also details several data engineering tools like Hive, Hadoop, Spark, and Airflow.
What You'll Learn
Learn key topics like data wrangling, database schema, and developing ETL pipelines. Learn data engineering tools like Hive, Hadoop, Spark, and Airflow.

Industry 4.0 Academy Disclaimer

The courses offered in this catalog are a curated collection of learning materials that provide an overview of Industry 4.0. It is designed to provide resources that businesses can use to understand and implement Industry 4.0, covering topics such as technology adoption, data utilization, and workforce development. While some of the course providers may provide a certification, the intent of this website is to provide information on knowledge-building opportunities. RIT provides no certification or degree credit for any of this content.

Some materials are free, while others require a fee. Neither RIT or the Center of Excellence in Advanced and Sustainable Manufacturing (COE-ASM) has received compensation from the organizations that have created and published the course materials. The Industry 4.0 Academy supports a COE-ASM initiative to advance the adoption of Industry 4.0 technologies and practices among manufacturers in New York State and is funded by the New York State Department of Economic Development.