julienkervizic

6 ms·

1.
Files Formats for Data Engineers – (Part 1) – Standards Data Formats(medium.com)
2 points by julienkervizic 5y ago|0 comments
2.
Speeding up your Python data pipelines with Cython and Nim(medium.com)
5 points by julienkervizic 5y ago|1 comments
3.
Machine Learning in Production – How to Operate a Model Factory(medium.com)
3 points by julienkervizic 5y ago|0 comments
4.
On the Evolution of Data Engineering(medium.com)
3 points by julienkervizic 5y ago|0 comments
5.
Scaling with Pandas beyond the millions (of records)(medium.com)
1 points by julienkervizic 5y ago|0 comments
6.
Overview of the different approaches to putting ML models in production(medium.com)
2 points by julienkervizic 5y ago|0 comments
7.
Python’s Data Classes a Data Engineer’s Best Friend(medium.com)
2 points by julienkervizic 5y ago|0 comments
8.
On Data Engineering code reviews(medium.com)
2 points by julienkervizic 5y ago|0 comments
9.
Setting Up Airflow on Azure and Connecting to MS SQL Server(medium.com)
1 points by julienkervizic 5y ago|0 comments
10.
Leveraging DBT as a Data Modeling Tool(medium.com)
1 points by julienkervizic 5y ago|0 comments
11.
The Lost Art of Data Modeling(medium.com)
7 points by julienkervizic 5y ago|0 comments
12.
Real-Time Data Pipelines – Complexities and Considerations(medium.com)
2 points by julienkervizic 6y ago|0 comments
13.
Hacking Analytics’ Compendium of Data News – December 2020(medium.com)
2 points by julienkervizic 6y ago|1 comments
14.
Hacking Analytics’ Compendium of Data News – November 2020(medium.com)
2 points by julienkervizic 6y ago|0 comments
15.
The path to learning SQL and mastering it to become a Data Engineer(medium.com)
21 points by julienkervizic 6y ago|1 comments
16.
Tips for aspiring and junior data engineers(medium.com)
2 points by julienkervizic 6y ago|0 comments
17.
The versatility of ROW_NUMBER, one of SQL’s greatest function(medium.com)
1 points by julienkervizic 6y ago|0 comments
18.
How to Ace the K-Means Algorithm Interview Questions(medium.com)
2 points by julienkervizic 6y ago|0 comments
19.
Customer Data Platform – When and when not purchase an off the shelf CDP(medium.com)
1 points by julienkervizic 6y ago|0 comments
20.
Effective approaches to dealing with tracking time spent on content and webpages(medium.com)
1 points by julienkervizic 6y ago|0 comments
21.
Become a Pro at Pandas, Python’s Data Manipulation Library(medium.com)
9 points by julienkervizic 6y ago|0 comments
22.
Modern Machine Learning Tooling(medium.com)
2 points by julienkervizic 6y ago|0 comments
23.
How to Learn Data science from scratch(medium.com)
2 points by julienkervizic 6y ago|0 comments
24.
Challenges moving data science proof of concepts (POCs) to production(medium.com)
1 points by julienkervizic 6y ago|0 comments
25.
Dissecting a CDP’s Segmentation Engine(medium.com)
1 points by julienkervizic 6y ago|0 comments
26.
R vs. Python, a comprehensive guide for data professionals(medium.com)
2 points by julienkervizic 7y ago|0 comments
27.
Data Science Career Path and Progression(medium.com)
1 points by julienkervizic 7y ago|0 comments
28.
On E-Commerce Pricing Strategy(medium.com)
2 points by julienkervizic 7y ago|0 comments
29.
by julienkervizic 7y ago
Yeah, knowledge of window functions allows to solve quite complex data manipulation problems fairly easily. For some data-engineering type of work such as sessionization, doing it without window functions would make the task really complica
30.
by julienkervizic 7y ago
Yes it covers a bit more than what people tend to see in Machine Learning which is the model training part. From the code base it looks to cover: 1) feature preparation and model training as part of notebooks 2) Creation of a Flask API to i

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