Data Engineering Foundations
Data Engineering Foundations
Electronic Video - 2021
Learn the key facets of data engineering, from its place in the data science realm, to the specific tasks and skills every data engineer should possess.
में बचाया:
Holdings -
| निगमित लेखक: | |
|---|---|
| अन्य लेखक: | |
| स्वरूप: | इलेक्ट्रोनिक वीडियो |
| भाषा: | English |
| प्रकाशित: |
Carpenteria, CA
linkedin.com,
2021.
|
| विषय: | |
| ऑनलाइन पहुंच: | View course details on linkedin.com/learning |
MARC
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| 100 | 1 | |a Tyagi, Harshit |e speaker. | |
| 245 | 1 | 0 | |a Data Engineering Foundations. |c with Harshit Tyagi |
| 264 | 1 | |a Carpenteria, CA |b linkedin.com, |c 2021. | |
| 306 | |a 01h:05m:55s | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 500 | |a 2/17/202112:00:00AM | ||
| 520 | |a Learn the key facets of data engineering, from its place in the data science realm, to the specific tasks and skills every data engineer should possess. | ||
| 511 | 1 | |a Presenter: Harshit Tyagi | |
| 520 | |a 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. 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. | ||
| 538 | |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. | ||
| 655 | 4 | |a Instructional films. |2 lcgft | |
| 655 | 4 | |a Educational films. |2 lcgft | |
| 710 | 2 | |a linkedin.com (Firm) | |
| 856 | 4 | 0 | |u https://www.linkedin.com/learning/data-engineering-foundations?u=95224889&auth=true |z View course details on linkedin.com/learning |
| 092 | |a ONLINE CLASS | ||