Spark, Hadoop, and Snowflake for Data Engineering

e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programmingGain the skills for building efficient and scalable data pipelines. Explore essential data engineering platforms (Hadoop, Spark, and Snowflake) as well as learn how to optimize and manage them. Delve into Databricks, a powerful platform for executing data analytics and machine learning tasks, while honing your

• Create scalable data pipelines using Hadoop, Spark, Snowflake, and Databricks
• Optimize data engineering performance via clustering and scaling
• Build machine learning solutions with PySpark and MLFlow on Databricks
• Implement DataOps and DevOps practices for continuous integration and deployment

• Basic programming and Python knowledge
• Fundamental data concepts