Matza is a Google Cloud Partner specializing in providing comprehensive training and certification programs for data engineering professionals. Their flagship offering, the "Certificado Profissional Data Engineering with GCP," is a 100% online course designed to equip developers with the skills necessary to manage Big Data transformations effectively. This program combines presentations, demonstrations, and hands-on labs to enable data-driven decision-making by teaching participants how to collect, transform, and publish data. Additionally, it offers real-world experience through practical projects that can be showcased to potential employers.
Key Features and Functionality:
- Comprehensive Curriculum: The program includes six courses covering topics such as Google Cloud Platform Big Data and Machine Learning Fundamentals, leveraging unstructured data with Cloud Dataproc, serverless data analysis with BigQuery and Cloud Dataflow, serverless machine learning with TensorFlow, building resilient streaming systems, and preparing for the Google Cloud Professional Data Engineer Exam.
- Flexible Learning: Being entirely online, the courses allow learners to start immediately and progress at their own pace, accommodating various schedules and learning preferences.
- Hands-On Labs: Participants engage in practical labs using Qwiklabs projects, providing real-world experience in designing, building, and running data processing systems, as well as operationalizing machine-learning models.
- Certification Preparation: The program offers sample questions and practice exams to help learners prepare for the industry-recognized Google Cloud Professional Data Engineer certification.
Primary Value and Solutions Provided:
Matza's training program addresses the growing demand for skilled data engineers by offering a structured pathway to develop and validate expertise in data engineering using Google Cloud Platform. By completing this program, professionals can enhance their career prospects, contribute to data-driven decision-making within their organizations, and stay competitive in the rapidly evolving field of data engineering. The program's emphasis on practical experience ensures that learners are well-prepared to tackle real-world challenges in managing and transforming Big Data.
