In this course, you are equipped in all the skills that make you a proficient Data Engineer. For example, in The Google Cloud Professional Data Engineer course, you go into excruciating detail about the Google Cloud Platform, its capabilities for data processing, and hands-on is engaged with some tools and services such as BigQuery, Cloud Dataflow, TensorFlow, and Cloud ML. You will learn how to design scalable data processing systems, describe data pipelines for batch and real-time data, and gain insights into deploying machine learning models to extract meaningful business insights from complex datasets.
What You’ll Learn
- Develop the primary skills, which are required to perform the job accurately well as a Data Engineer.
- Prepare well for a Professional Data Engineer certification.
- Explore Google Cloud Platform’s infrastructure and platform services.
Skills You’ll Gain
- With Google BigQuery, derive real business insights from truly large sets of data.
- Scalable Data Pipelines for both batch and streaming data by using Cloud Dataflow.
- Building, training, and deploying machine learning models with TensorFlow and Cloud ML.
- Design and construct data processing systems on Google Cloud Platform.
- That can be done with both Spark and machine learning APIs on Cloud Dataproc.
