Data Engineering with AWS

Starting at USD 1596.00
16 weeks duration

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and manage massive datasets.

The Udacity course, Data Engineering with AWS, provides learners with a comprehensive understanding of data modeling, cloud data warehouses, Spark and data lakes, and automated data pipelines. Learners will gain hands-on experience in creating relational and NoSQL data models, using ETL to build databases in Apache Cassandra, and developing cloud-based data warehouses using Amazon Web Services (AWS). They will also learn to construct a data lake on AWS, understand the principles of data lakehouse architecture, and utilize Apache Spark for data wrangling and transformation. The course further delves into the concept of data pipelines, teaching learners how to use Apache Airflow, an open-source tool from Airbnb, to apply data pipeline concepts. This includes data validation, DAGs, AWS quality concepts, data lineage, data pipeline schedules, and data partitioning. The course concludes with learners putting data pipelines into production by extending Airflow with plugins, implementing task boundaries, and refactoring DAGs.

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Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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