#039 Is ETL Dead For Data Science and Big Data?
from Plumbers of Data Science Hosted by Andreas Kretz
Is ETL dead in Data Science and Big Data? In today's podcast I share with you my views on your questions regarding ETL (extract, transform, load). Data Lakes & Data Warehouse where is the difference? Is ETL still practiced or did pre processing & cleansing replace it What would replace ETL in Data Engineering? How to become a data engineer? (check out my facebook note) How to get experience training at home? Real time analytics with RDBMS or HDFS?
Embed this episode
No transcript yet.
Frequently asked questions
How long is this episode of Plumbers of Data Science?
This episode is 28 minutes long.
When was this Plumbers of Data Science episode published?
This episode was published on October 3, 2018.
Can I download this Plumbers of Data Science episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.