Who should attend this Data Engineering with Google Cloud Platform Course?
The Data Engineering with Google Cloud Platform Training is valuable training for those who want to get better at data management and processing while using Google Cloud Platform Services (GCP). The Data Engineering with Google Cloud Platform Course can benefit professionals such as:
- Cloud Engineers
- Data Engineers
- BI Developers
- ETL Developers
- Data Managers
- Data Architects
- Big Data Engineers
Prerequisites of the Data Engineering with Google Cloud Platform Course
There are no formal prerequisites for this Data Engineering with Google Cloud Platform Training.
Data Engineering with Google Cloud Platform Course Overview
Data Engineering with Google Cloud Platform is a course of utmost relevance in the realm of technology and data-driven decision-making. Google, known for its innovative approach to global technologies, offers a comprehensive platform for Data Engineering, enabling professionals to collect, transform, and publish data, thereby fostering a data-driven approach to decision-making.
Professionals in the field of Data Engineering, Data Processing, and those aspiring to leverage Google Cloud services should aim to master this subject. It equips them with the knowledge and skills to design, build, secure, and monitor data processing systems, emphasising security, compliance, scalability, efficiency, reliability, and portability. This knowledge is crucial for harnessing the potential of Google's Machine Learning models.
Our 3-day training course, provided by the Knowledge Academy, offers delegates a deep understanding of Google Cloud Platform services for Data Management. They will learn to design and build data processing systems, create autoscaling data pipelines for batch and streaming data, and integrate Dataproc with the Google Cloud Platform. The course also covers the technical aspects of handling unstructured data using Google's Machine Learning APIs and delves into serverless data concepts.
Course Objectives
- To understand the core concepts of Data Engineering with Google Cloud Platform
- To learn to design and build data processing systems on the Google Cloud Platform
- To gain proficiency in creating autoscaling data pipelines for both batch and streaming data using Cloud Dataflow
- To explore the integration of Dataproc with the Google Cloud Platform for efficient data processing
- To acquire the technical knowledge needed to work with unstructured data using Google's Machine Learning APIs
- To develop the skills to design comprehensive data processing systems, construct end-to-end data pipelines, and analyse data and Machine Learning models
Upon course completion, delegates will be well-equipped to design and implement data processing solutions on the Google Cloud Platform, enhancing their career prospects in Data Engineering and Cloud Technology. Additionally, they will have the skills and knowledge to work with unstructured data and leverage Machine Learning models, making them valuable assets for organisations seeking data-driven insights.