Lambda3 Podcast 312 – Engenharia de Dados

What this episode covers

Neste episódio do podcat, os lambdas Ahirton Lopes e Matheus Vidal junto com o convidado Daniel Antonio, Data Warehouse Engineer na Stillfront Group, falam sobre Engenharia de Dados – o que é, onde se insere, qual seu futuro no mercado de trabalho e muito mais. Entre no nosso grupo do Telegram e compartilhe seus comentários com a gente: https://lb3.io/telegram Feed do podcast: www.lambda3.com.br/feed/podcast Feed do podcast somente com episódios técnicos: www.lambda3.com.br/feed/podcast-tecnico Feed do podcast somente com episódios não técnicos: www.lambda3.com.br/feed/podcast-nao-tecnico Lambda3 · #312 – Engenharia de Dados Pauta: O que é Engenharia de Dados? Academia x Indústria; Boom e “hype” na área; Onde Engenharia de Dados pode estar inserida? Projetos interessantes e exemplos de aplicações em Engenharia de Dados. Trabalhando e estudando Engenharia de Dados Quais as principais diferenças quando comparado com desenvolvimento convencional ou até mesmo com outros perfis em dados? Como normalmente se configura o trabalho de uma pessoa Engenheira de Dados, Especialista em Data Warehouse, Data Lake e outros papéis que lidam com Engenharia de Dados? Descolamento Academia x Indústria na área. Estamos formando profissionais para atender às demandas em Engenharia de Dados? Visão sobre os desenvolvimentos recentes na área O que esperar do mercado e do crescimento da adoção de boas práticas em Engenharia de Dados? Observabilidade de dados: Os dados estão atualizados? Há dados faltantes? E quando a falta de observabilidade atrapalha o trabalho em Engenharia de Dados? Ainda haverá espaço para o trabalho da pessoa Engenheira de Dados no futuro? LGPD e outras leis de proteção aos dados? Como essas novas práticas podem impactar o trabalho em Engenharia de Dados? Participantes: Ahirton Lopes – @ahirton Daniel Antonio – @danconte72 Matheus Vidal Grunewald – @matheus-vidal Links: What Is a Data Engineer: A Guide to This In-Demand Career Definition: Data Engineer Introducing the 5 Pillars of Data Observability Edição: Compasso Coolab Créditos das músicas usadas neste programa: Music by Kevin MacLeod (incompetech.com) licensed under Creative Commons: By Attribution 3.0 – creativecommons.org/licenses/by/3.0

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Frequently Asked Questions

How long is this episode of Lambda3 Podcast?

This episode is 1 hour and 14 minutes long.

When was this Lambda3 Podcast episode published?

This episode was published on August 12, 2022.

What is this episode about?

Neste episódio do podcat, os lambdas Ahirton Lopes e Matheus Vidal junto com o convidado Daniel Antonio, Data Warehouse Engineer na Stillfront Group, falam sobre Engenharia de Dados – o que é, onde se insere, qual seu futuro no mercado de trabalho e...

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