There are a couple of activities involved in the world of data engineering:

1. Describe data architecture
2. Understand data sources
3. Design your data model
4. Configure infrastructure
5. Run and monitor ETL processes
6. Business intelligence and analytics

Thread 👇👇
The project below will help you to get some hands-on experience with data engineering, you will see all the steps mentioned above:

Uber expenses tracking

Data Architecture Image
Data Sources ImageImage
Data Model Image
Infrastructure Image
ETL Processes Image
Business intelligence and Data analytics
Github repository:
github.com/Wittline/Uber-…
Youtube Video:

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More from @RamsesCoraspe

26 Aug
If you are strengthening your skills in data engineering and machine learning with python, here I recommend you some books with hands-on projects, It will help with the commom questions: why? and for what?
#Python #MachineLearning
Text Analytics with python (Dioanjan Sarkar) Image
Hands-On Machine Learning with Scikit-Learn, Keras & Tensorflow (Aurélien Géron) Image
Data Science in Production (Ben G. Weber) Image
Read 6 tweets
24 Jun
Evolution of the word clouds from the titles of books purchased on Amazon USA (1995 - 2015)

#AWS #DataEngineering #Python #BigData #100DaysOfCode #awscloud
The goal of this repository is to offer and explain an AWS EMR template that you can use quickly if the need for your analysis involves working with millions of records, the template can be easily altered to support the size of your project:

Github: github.com/Wittline/pyspa…
EMR EC2 SPOT AND ON-DEMAND INSTANCES Image
Read 5 tweets
10 May
If you are a data-driven company and you are still stucked with R, here are some points to keep in mind for the transition to Python

1. Be focused on outcomes
2. Forget language and focus on the ecosystem
3. Cross-language libraries
4. Real datasets
5. Work Locally

👇
1. Be focused on outcomes:
Instead of learning everything about python, be focus on build and train Machine learning models first: Linear Regression, Logistic Regression, KNN, SVM, NN

Check this out

Github: github.com/Wittline/Machi…
2. Forget learning the language and focus on the ecosystem: Go right to Numpy, Pandas and Scikit-learn

Medium: medium.com/personal-proje…
Read 8 tweets

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