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What a week it has been. All of a sudden it ramped up and I'm swamped with work. Still I'm thankful for where I am and how far I've gotten. God's great plans 😊. Most exciting part was that spark dev finally started! I'll be teaching web development to a group of 15 students. Though the stack hasn't been finalized it'll probably be a #react#mongo#node#distributed#architecture because we want to add some #datascience and #machinelearning features. I'm excited!
But the grind is real. As the semester progresses I'm sure my post will be filled with more math that looks like Chinese to some lol.
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Lei Geral de Proteção de Dados
Quanto vale sua privacidade?
No tempo de nossos pais, o CPF era valioso e devia ser guardado as sete chaves, será que ainda é necessário?
Então... CPF + NOME DA MÃE + DATA DE NASCIMENTO= DADOS SENSÍVEIS 🤷
Os dados são considerados atualmente, a mina de diamantes, pois minerado de forma correta pode trazer riquezas infinitas.
É um mercado aberto recentemente, e quem sair na frente, sem dúvidas estará nos rankings de sucesso.
Mas se lembre, é necessário possuir Compliance, Governança e seguir a LGPD😉
0 23 hours ago
Data engineer and Data Scientists. What’s the difference 🧐🤷🏼♀️⤵️
The difference is huge!
Data Engineers build an pipeline for collect relevant Data. They don’t just merge data from different points. They create a new architecture for a continuous storing and retrieving of data for the Data Science team.
Possible language: Java, Scala, C++ or Python
Data Scientists are using the data. They clean it and try to produce a meaningful outcome from it with help o different models. Usually producing a foundation for taking some kind of decision.
Possible language: Python, R, SQL