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What Is The Modern Data Stack - Intro To Data Infrastructure Part 1
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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?
Data Engineering Project Ideas
If you want to learn more about machine learning, check out DataCamps Machine Learning Course
If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here.
Or check out my blog
Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio
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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.
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?
Data Engineering Project Ideas
If you want to learn more about machine learning, check out DataCamps Machine Learning Course
If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here.
Or check out my blog
Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio
_____________________________________________________________
_____________________________________________________________
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.
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