Sarah Lea

AI

The Concepts Data Professionals Should Know in 2025: Part 1

From Data Lakehouses to Event-Driven Architecture — Master 12 data concepts and turn them into simple projects to stay ahead in IT. Sarah Lea · Follow Published in Towards Data Science · 11 min read · 7 hours ago — When I scroll through YouTube or LinkedIn and see topics like RAG, Agents or Quantum Computing, I sometimes get a queasy feeling about keeping up with these innovations as a data professional. But when I reflect then

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AI

What is MicroPython? Do I Need to Know it as a Data Scientist?

In this year’s edition of the Stack Overflow survey, MicroPython is with 1.6% in the Most Popular Technologies — but why? Sarah Lea · Follow Published in Towards Data Science · 5 min read · 10 hours ago — When I saw MicroPython on the list of the Stack Overflow survey from this year, I wanted to know what I could use this language for. And I wondered if it could serve as a bridge

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AI

Master Bots Before Starting with AI Agents: Simple Steps to Create a Mastodon Bot with Python

Sarah Lea · Follow Published in Towards Data Science · 11 min read · 13 hours ago — I recently published a post on Mastodon that was shared by six other accounts within two minutes. Curious, I visited the profiles and discovered that at least one of them was a tech bot — accounts that automatically share posts based on tags such as #datascience or #opensource. Mastodon is currently growing rapidly as a decentralized alternative

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AI

Who Does What in Data? A Practical Introduction to the Role of a Data Engineer & Data Scientist

What does a data engineer do differently to a data scientist? Sarah Lea · Follow Published in Towards Data Science · 14 min read · 6 hours ago — Next autumn, I will start my Master’s degree in Data Science in Zurich — with its three thematic pillars of Data Analytics, Data Engineering and Data Services, it offers exactly the opportunities we need in the current economy. But before I specialize in one of these

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AI

Why ETL-Zero? Understanding the shift in Data Integration

Sarah Lea · Follow Published in Towards Data Science · 10 min read · 10 hours ago — When I was preparing for the Salesforce Data Cloud certification, I came across the term Zero-ETL. The Data Cloud offers the possibility to access data directly from other systems such as data warehouses or data lakes or sharing data with these systems without the data being copied. Salesforce describes this also as Bring Your Own Lake (BYOL),

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AI

SQL and Data Modelling in Action: A Deep Dive into Data Lakehouses

Sarah Lea · Follow Published in Towards Data Science · 10 min read · 15 hours ago — Anyone working with business intelligence, data science, data analysis, or cloud computing will have come across SQL at some point. We can use it to extract, manipulate and analyze data — in relational databases as well as in modern cloud environments. For a Salesforce Data Cloud implementation, I had to brush up on my SQL and data

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