Release Name : Linkedin.Learning.Data.Engineering.Foundations-QUiD
Publisher : Linkedin
Release Date : 2021-02-18
Size : 10 x 15MB
Url : https://www.lynda.com/Apache-Spark-tutorials/Data-Engineering-Foundations/2878067-2.html
Release Info:
Data science can be generally defined as the process of making data useful, and data
engineering is a key part of how and why. If you think of data science like a race car,
the data engineers are the pit crew. They’re not driving the car, but they make the car
much easier to drive. Data engineers make sure the data flow is running smoothly, monitor
systems, anticipate problems, and repair the data pipeline whenever problems arise. They
extract and gather data from multiple sources and load it into a single, easy-to-query
database. In short, data engineers make data scientists’ lives easier.<br><br>In this
course, Harshit Tyagi explains the fundamentals of data engineering. He 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. By the end of this
course, it should be abundantly clear why the data engineer is one of the most valuable
people in a data-driven organization.
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