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Data Engineering

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Data Engineering

Data engineering is a crucial discipline within the realm of data science and analytics. It involves designing, constructing, and maintaining the systems and architecture necessary for the reliable and efficient processing of large volumes of data. This course provides a comprehensive introduction to the fundamental concepts, techniques, and tools used in data engineering. Through a combination of theoretical knowledge and practical hands-on exercises, students will gain the skills required to build robust data pipelines, manage data infrastructure, and optimize data workflows.

Course Objectives

  • Understand the role and importance of data engineering in modern organizations.
  • Learn the key concepts and principles of data engineering, including data modeling and ETL.
  • Explore various data storage technologies such as relational databases, NoSQL databases, data lakes, and data warehouses.
  • Gain proficiency in designing and implementing data pipelines for ingesting, processing, and transforming data.
  • Learn best practices for data quality assurance, data governance, and data security.
  • Familiarize yourself with cloud-based data engineering tools and platforms, such as AWS, Google Cloud Platform, or Microsoft Azure.
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DURATION

PRICE | $4000
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