Hi guys, Welcome to the Advanced Video Search Engine, and you are watching What Tools Should Data Engineers Know In 2024 - 100 Days Of Data Engineering. That video is uploaded by Seattle Data Guy at 2024-04-02T07:31:31-07:00. We are promoting this video only for entertainment and educational purpose only. So, I hope you like & enjoy it. [nB7Lo9pGzVk]
| Name | What Tools Should Data Engineers Know In 2024 - 100 Days Of Data Engineering |
| Video Uploader | Video From Seattle Data Guy |
| Upload Date | This Video Uploaded At 02-04-2024 14:31:31 |
| Video Discription | What tools should a data engineer know? Honestly this video is more of a list of tools that goes far beyond what most data engineers know but I wanted to create a video that shared a list of data engineering tools for the 100 days of data engineering video. So here it is! Also, if you're looking to check out some tools that I am advising for you can look at Estuary for data ingestion https://bit.ly/3Ed1RLe And Mage for workflow orchestration https://www.mage.ai/ If you enjoyed this video, check out some of my other top videos. Top Courses To Become A Data Engineer https://www.youtube.com/watch?v=kW8_l57w74g What Is The Modern Data Stack - Intro To Data Infrastructure Part 1 https://www.youtube.com/watch?v=-ClWgwC0Sbw If you would like to learn more about data engineering, then check out Googles GCP certificate https://bit.ly/3NQVn7V If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here. https://seattledataguy.substack.com/ Or check out my blog https://www.theseattledataguy.com/ And if you want to support the channel, then you can become a paid member of my newsletter https://seattledataguy.substack.com/subscribe Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio _____________________________________________________________ Subscribe: https://www.youtube.com/channel/UCmLGJ3VYBcfRaWbP6JLJcpA?sub_confirmation=1 _____________________________________________________________ About me: I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data. *I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you. nB7Lo9pGzVk |
| Category | Education |
| Tags | data engineering | how to become a data engineer | data engineering tools | 100 days of data engineering | seattle data guy | becoming a data engineer | data engineer skills | what tools should a data engineer know | snowflake vs databricks | best data engineering tools | top data engineering skills | ben rogojan | data analyst | data analyst tools | switching from data analyst to data engineer | airflow | python | spark |
