Enroll Course: https://www.udemy.com/course/academia-engenharia-de-dados/
Are you looking to dive into the exciting world of Data Engineering? The ‘Super Academia Engenharia de Dados – 9 cursos em 1’ course on Udemy is an absolute powerhouse, designed to equip you with the essential tools and knowledge used by top companies globally. This comprehensive program covers a vast array of critical technologies, making it an ideal starting point for aspiring data engineers.
The course kicks off with Apache Hop, a visual, code-free tool that acts as a Swiss Army knife for data integration and transformation. You’ll learn to build pipelines and workflows for various tasks, from database operations to data cleaning and loading, all through an intuitive visual interface.
Next, we explore KNIME, another powerful visual platform that excels in data integration and workflow construction. Its ability to handle diverse data sources and ensure data quality positions you strategically to tackle complex data engineering challenges.
Databricks is a significant focus, offering a cloud-based ecosystem for data analysis. You’ll learn to create and configure clusters, write scripts in R, Scala, and SQL, and build visualizations and dashboards within a single notebook environment. The course also delves into Databricks Delta Lake, introducing concepts like Time Travel for efficient data versioning and control, marking a significant evolution in data management.
The program doesn’t stop there. It introduces Alteryx, a visual tool for data manipulation, allowing you to import, explore, clean, and transform data from various sources. You’ll learn to build custom workflows and automate data cleaning tasks. Pentaho PDI, the renowned ETL tool, is also covered, helping you build robust data integration and ingestion pipelines.
Transitioning into distributed computing, the course provides hands-on experience with Apache Spark. You’ll learn to install Spark from scratch, write PySpark scripts, and understand concepts like RDDs and DataFrames in distributed environments. This section is crucial for anyone aiming to work with big data.
NiFi is introduced as a tool for building data flow pipelines and understanding streaming concepts, offering flexibility in constructing complex data streams.
Finally, the course explores the Elasticsearch ecosystem, including Logstash for data ingestion, DSL for data manipulation, and Kibana for visualization, all powered by a NoSQL database. This provides a holistic view of real-time data processing and analysis.
What sets this course apart is its practical approach. It includes numerous exercises, practical scripts, and a comprehensive workbook, ensuring you gain hands-on experience and a deep understanding of industry-relevant terms and concepts. If you’re serious about becoming a data engineer, this ‘Super Academia Engenharia de Dados’ course is an investment that will pay dividends.
Enroll Course: https://www.udemy.com/course/academia-engenharia-de-dados/