Nah nah! I'm safe

there is something so empowering about self studying you can learn anything if you put your mind to it

Data warehouse vs Data lakes Data warehouse::: stores only structured data and has a schema. Data lake::: stores structured and unstructured data, doesn't have a schema. A reservoir of different data types with an undefined use case.

The data engineer moves the data. The data scientist talks to the data. The ML engineer squeezes the data. The business loves the data.

Getting this bitter sweet feeling knowing I'll have to learn Linux soon.

Could this be yet another one?

Dude bout to get jacked

Important File Format Every Data Engineer MUST KNOW! 📁 As a Data Engineer, you will be working on different types of file formats, here is a simple understanding of everything. 📍 CSV (Comma-Separated Values) A plain text file where each line represents a record and each

Finally found the book "Fundamentals of Data Engineering" By joe Reis 🥹

To get Practice Datasets Search "open data portal" depending on your location, you'd get access to unlimited govt data

you can't out-train a bad model

Law of large numbers: "As the sample size increases, the average of the sample tends to converge at the center(mean)" Mark Douglas made a reference to this in the book "Trading in the zone"

Data uchiha Great memory 🙌🏻 Also for anyone who’d like to read, Yumi🌸 has a short and effective version where she explains this perfectly

A 24 inch desktop monitor

Becoming an Azure Data Engineer (Quick Guide) 📊 Microsoft Azure provides a plethora of services, but as a Data Engineer, you'll only need to master a select few that are essential for your data workflows. 🔍 Azure Services for Data Engineers: ✅ Azure Blob Storage: Object

Seeing msc as a requirement 😔