Este projeto implementa um pipeline ETL que coleta dados meteorológicos de São Paulo a cada hora, processa as informações e armazena em um banco de dados PostgreSQL para análise posterior.

The Cloud ETL (Extract, Transform, Load) Tool Market was valued at USD 2.8 billion in 2024 and is projected to reach USD 10.5 billion by 2033, exhibiting a CAGR of 16.4% from 2026 to 2033. This ...

Git isn’t hard to learn. Moreover, with a Git GUI such as Atlassian’s Sourcetree, and a SaaS code repository such as Bitbucket, mastery of the industry’s most powerful version control tools is within ...

Microsoft complements its relational database engine, SQL Server, with several add-on services that manage different aspects of enterprise business intelligence and information processing such as data ...

I used the link in the Next Steps section and started the "Automate your Pipeline" lesson while skipping the intended next lesson "Create and materialize partitioned assets" lesson. I didn't realized ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...

In the early stages of building a data platform, it’s common to patch together ingestion workflows by hand — scripting one-off jobs, customizing transformations ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

Katta's expertise in optimizing ETL workflows and implementing data quality frameworks can serve as a blueprint for successful data transformation initiatives. In a world where data is increasingly ...