Enroll Course: https://www.udemy.com/course/engenharia-de-dados-com-google-datafusion-e-big-query-cdap/
In the ever-evolving landscape of data engineering, efficiency and scalability are paramount. Google Cloud’s Data Fusion emerges as a powerful, low-code solution for building robust data pipelines, and this introductory Udemy course, ‘Engenharia de Dados com Google Datafusion e BigQuery (CDAP)’, provides an excellent entry point.
Google Data Fusion stands out for its user-friendly, visual interface. Gone are the days of wrestling with complex code for every data transformation. The drag-and-drop functionality allows data engineers to focus on the business logic, streamlining the creation of intricate data pipelines. This intuitive approach significantly reduces development time and lowers the barrier to entry for those new to data integration.
Scalability is another major advantage. Running on Google Cloud, Data Fusion effortlessly handles massive datasets and high-performance parallel processing. Whether you need to scale up or out, the platform adapts to your project’s demands, ensuring you can manage data at any scale.
The seamless integration with the broader Google Cloud ecosystem is a significant boon. Connecting Data Fusion pipelines with services like BigQuery, Cloud Storage, and Pub/Sub creates a cohesive data architecture, simplifying ingestion, storage, and analysis across various platforms.
This course dives into the core functionalities, equipping you with the knowledge to:
* Understand the internal workings of Google Data Fusion.
* Identify and leverage its key benefits.
* Create and configure a Data Fusion instance.
* Utilize Google Cloud Storage as a data source.
* Implement BigQuery as a Data Lake, including Bronze and Silver layers.
* Explore advanced BigQuery features like partitioned tables and the MERGE command.
* Ingest data from diverse sources.
* Transform data using both low-code Wrangle and SQL queries.
* Build DAGs for ETL processes, managing intra-DAG and inter-DAG dependencies and scheduling.
For anyone looking to efficiently manage data ingestion and transformation within the Google Cloud environment, this course is a highly recommended starting point. It demystifies a powerful tool, enabling you to build scalable and effective data pipelines with confidence.
Enroll Course: https://www.udemy.com/course/engenharia-de-dados-com-google-datafusion-e-big-query-cdap/