What Is The Modern Data Stack - Intro To Data Infrastructure Part 1 скачать в хорошем качестве

What Is The Modern Data Stack - Intro To Data Infrastructure Part 1

To put things simply, the modern data stack (MDS) is a set of tools that power data integration. In order, these tools include a fully managed data pipeline for “extract, load, and transform” (ELT) processes along with a cloud-based data lake or columnar warehouse for the data’s destination. On top of that, MDS requires a data transformation tool and a visualization or business intelligence (BI) platform so your company can make use of all the numbers. The primary difference between a modern data stack and a legacy data stack lies in the host. The modern data stack is hosted in the cloud and, as a result, requires very little technical interference from its users. The modern data stack almost guarantees end-user accessibility, while the company at-large enjoys endless scalability that grows quickly without the expensive downtime associated with scaling the server room that supports a legacy data stack. If you enjoyed this video, check out some of my other top videos. What Skills Do Data Engineers Need?    • What Skills Do Data Engineers Need To Know   Data Engineering Project Ideas    • 5 Data Sources for Your Data Engineering P...   If you want to learn more about machine learning, check out DataCamps Machine Learning Course https://bit.ly/3BeLEml 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/ Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio _____________________________________________________________ Subscribe:    / @seattledataguy   _____________________________________________________________ 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.