Building Data Engineering Pipelines in Python

Starting at USD 39.00
4 hours duration

Learn how to build and test data engineering pipelines in Python using PySpark and Apache Airflow.

Develop a Data Pipeline in Python: A Comprehensive Course Enhance your skills in data engineering by mastering the creation of data pipelines using Python. This 4-hour course provides a comprehensive understanding of the essential concepts and tools utilized by data engineers to ensure seamless data availability and efficient deployment of machine learning models within organizations. To expedite the process of bringing processes into production and producing high-quality code, it is crucial to comprehend the fundamentals of data pipeline construction. Throughout this course, we delve into the various data pipelines constructed by data engineers and explore the tools they employ to facilitate the integration of models into production and the consistent execution of repetitive tasks. Utilize PySpark to Construct a Data Transformation Pipeline This course offers a comprehensive overview of the key components of data engineering pipelines. In Chapter 1, you will gain insights into data platforms and learn the process of data ingestion. Chapter 2 takes you a step further by focusing on data cleaning and transformation. You will harness the power of PySpark to construct a robust data transformation pipeline. In Chapter 3, you will acquire the skills to deploy code securely, examining different forms of testing. Finally, Chapter 4 equips you with the knowledge to schedule complex dependencies between applications. By leveraging the fundamentals of Apache Airflow, you will learn how to trigger various components of an ETL pipeline on a predetermined schedule and execute tasks in a specific order. Master Workflow Management and Orchestration Upon completion of this course, you will possess a comprehensive understanding of building data pipelines in Python for data engineering purposes. Additionally, you will acquire the expertise to orchestrate and manage your workflows effectively using DAG schedules and Apache Airflow, enabling automated testing. Enroll now and unlock the potential to streamline your data engineering processes and optimize the deployment of machine learning models.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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