What you'll learn

Skills you'll gain

There is 1 module in this course

This course is ideal for aspiring data engineers, software developers interested in data processing, and IT professionals looking to expand their expertise into data engineering. It is also suitable for business analysts and other professionals who seek a foundational understanding of data handling technologies to improve decision-making capabilities and enhance their roles in data-driven environments. Whether you are just starting your journey in data engineering or looking to strengthen your existing skills, this course will provide the knowledge and tools you need to succeed. To get the most out of this course, you should have a basic understanding of programming concepts and some familiarity with database systems. A foundational knowledge of Python programming and SQL will be helpful, as will an understanding of relational database systems. No prior experience with Hadoop is required, but a keen interest in big data and data analytics will greatly enhance your learning experience. By the end of this course, you will be able to analyze the architecture and components of data pipelines and understand their impact on data flow and processing efficiency. You will learn how to implement robust ETL processes that are scalable and maintainable, and you will be equipped to handle big data challenges using Hadoop’s ecosystem tools, such as HDFS, MapReduce, Hive, Pig, and Spark. This course will prepare you to design, implement, and manage data solutions that can drive meaningful insights and support strategic decision-making in any organization.

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