Data Engineering for Beginners: Learn SQL, Python & Spark

Partner: Udemy
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Description: Why Learn Data Engineering?Data Engineering is one of the fastest-growing fields in the tech industry. Organizations of all sizes rely on Data Engineers to build and maintain the infrastructure that powers big data analytics, reporting, and machine learning. Data Engineers design, implement, and optimize data pipelines to efficiently process and manage data for business intelligence, real-time analytics, and AI applications.With SQL, Python, and Apache Spark, Data Engineers can handle large-scale data processing efficiently. These skills are highly sought after in finance, healthcare, e-commerce, and every data-driven industry.If you are looking for an industry-relevant and practical course that teaches you how to work with SQL, Python, Apache Spark (PySpark), and Databricks on Google Cloud Platform (GCP), this course is the perfect place to start.What You Will Learn in This CourseThis course is designed to take you from a beginner to an intermediate level in Data Engineering. You will gain hands-on experience working with SQL, Python, Apache Spark (PySpark), and Databricks by building real-world batch and streaming data pipelines.SQL for Data Engineering (PostgreSQL)Install and configure PostgreSQL to practice SQL queriesLearn fundamental SQL concepts such as SELECT, WHERE, JOIN, GROUP BY, HAVING, and ORDER BYPerform advanced SQL operations including window functions, ranking, cumulative aggregations, and complex joinsLearn how to optimize SQL queries for performance and debuggingPython for Data Engineering</strong
Category: IT & Software > Other IT & Software > Data Engineering
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Price: 199.99
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Source: Impact
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