If you are inclined towards data science and fond of extracting useful information out of big data, you surely would have heard about the certification launched by Google in 2016. Known as the Google Certified Professional Data Engineer Program, it is designed for IT professionals that have a knowledge and experience in data pipeline programming, tuning databases, statistical analysis as well as reporting on business data, Cloud Machine Learning along with Big Query and all the other data technologies of Google.
With the escalation of jobs requiring data scientist skills especially by huge IT firms such as IBM, Cisco, and Oracle, Google made quite a smart and calculated move by introducing this certification program.
By pursuing the Google Certified Professional Data Engineer Program professionals will be able to improve their technical skills and provide assistance to organizations in their pursuit of effectively using big data to make smarter and more informed business decisions.
Google’s head of Curriculum and Certification, Rochana Golani, believes that data engineers play a central role in organizations renovating their techniques of making decisions with the application of big data. According to her observation, there is an increased need for professionals who possess an expertise in extracting value out of large sets of data in organizations where business decisions have become data-driven.
IT professionals who will earn a Google data engineer certification will be able to develop the capability of helping organizations in creating statistical models in order to analyze data for constructing potent business strategies. Such professionals can also be very useful in streamlining the important processes of the business by applying machine learning models. Subsequently, improving the productivity levels in the organization.
The data engineer certification program is just one part of the wide Google Cloud Certification Program devised by Google. Anyone who holds this certification is expected to design and maintain an organization’s data processing systems in a reliable and extensible manner.
The competencies of a certified professional data engineer should include:
- Evaluating big data to structure the results of the business.
- Developing as well as enforcing statistical models built for big data for contributing to decision making.
- Developing machine learning models for streamlining processes.
- The building, enforcing as well as maintaining data systems in order to process and troubleshoot.
There are two other certificates introduced by Google known as G Suite Administrator certifications and Cloud Architect.
If you wish to become proficient in planning along with creating cloud architectures and also provisioning as well as governing cloud infrastructure, the Google Cloud Administrator certification has been exactly designed for your needs.
The only way you can gain the ability to holistically manage Google’s Cloud Platform Technologies is by pursuing the G Suite Administrator Certification Program. The aspirants will be provided with learnings to administer the user, track, report and manage the safety of data at cloud domain.
IT professionals who have an appropriate experience of working with Google’s Cloud Platform are the perfect candidates for pursuing the Data Engineer Certification Program. A guide formed by Google can provide you with the list of competencies that are required for the certification. It will assist you in analyzing whether the course is appropriate or not.
Here is what you can do to develop into a Google Certified Professional Data Engineer.
Firstly, you are required to attain a little bit of experience in Google Cloud Platform Technologies.
The next thing you have to do is to bring Google Data Engineer Certification Exam Guide and evaluate what all skills do you need for the certification.
After you have done all that, if you feel you are completely ready for it, search online the launching date of the Data Engineer Certification beta exams.