The Big Data Engineer track of the Data Science Council of America addresses the credentialing requirements of trained professionals who specialize in writing code and programs for Big Data applications and work on designing, developing, and engineering Big Data software and platforms.
DASCA offers two levels of global certification programs in the Big Data Engineer Track: The Associate Big Data Engineer (ABDE™) Credential and the Senior Big Data Engineer (SBDE™) Credential. The Associate Big Data Engineer (ABDE™) Credential is intended for graduating tech–school engineering students getting ready to start their careers in software engineering in the Big Data industry. The Senior Big Data Engineer (SBDE™) Credential, on the other hand, is designed for experienced programmers and software engineers who want to move into the Big Data space or wish to grow faster in their careers. The ABDE™ and SBDE™ Credentials are awarded to applicants who have successfully passed the DASCA online examinations for these certifications, configured around the DASCA Essential Knowledge Framework™. These examinations are managed and delivered entirely by DASCA across 180+ countries.
Registrations are open now for the spanking new ABDE™ and SBDE™ version marked to the updated DASCA-DSBoK™ Ver 11-4.4.Register Now
Promising their employers significant exposure to a breadth of open–source and proprietary Big Data platforms, technologies, and environments, DASCA–credentialed Big Data Developers and Engineers come successfully tested for a level–appropriate understanding and knowledge of the entire spectrum of areas that prove their potential for designing, engineering, and developing complex 21st century Big Data Management Systems. Their fundamentals on Information Technology, Software Design, Data Structures, Programming, and Analytical are proven by their knowledge of the latest concepts, methods, tools, and techniques deployed in Big Data management.
DASCA credential-holders exhibit level–appropriate and DASCA-EKF™-calibrated knowledge of popular Big Data platforms, including Hadoop and Spark. They have also tested successfully for their diverse exposure to a cross-section such as MongoDB, Kafka, Scala, ML and AI., and Cloudera. The candidacy norms for both of our Big Data Engineering Certifications ensure that all credential-holders exhibit at least a working knowledge of statistics at the time of applying to DASCA for the credential.
Equipped with a comprehensive understanding of their roles, responsibilities, and the challenges of their profession, DASCA–credentialed Big Data Developers and Engineers show level–appropriate proficiencies in back–end OOPS programming. They are also well-versed in writing high–performance, reliable, and maintainable codes and programs for clustered scale–out data processing on commonly used Big Data platforms.
The ABDE™ and SBDE™ Credentials validate the promise and potential of software professionals to enter, and grow in the Big Data space and perform effectively as Big Data Developers and Engineers in a rapidly evolving technology landscape.
The ABDE™ and SBDE™ Credentials contain robust and comprehensive content structured around rigorous research on Big Data industry trends. They focus on validating knowledge and proficiency in areas that critically impact the performance of developers and engineers.
DASCA is an entirely independent certification body and not a technology developer or owner of a proprietary Big Data platform. This makes ABDE™ and SBDE™ the world’s first neutral, pan–platform and BoEK™–centered globally recognized big data credentials.
The DASCA Big Data Engineer Certifications evaluate the competence of applicants in all performance–critical areas to ensure that ABDE™ and SBDE™ credential-holders demonstrate the high-level knowledge and abilities required for designing, developing, engineering, customizing, and implementing state–of–the–art Big Data systems.
The ABDE™ and SBDE™ Credentials are available worldwide and registrations can be made online. The certification examinations can be taken in 180+ countries around the world and are computer-based. The official DASCA examination preparation kit is provided at the time of registration to all applicants at no extra cost.
Developed using the highest levels of research and validation rigor, and awarded after assessments designed and conducted on standards that exceed the most stringent of international testing and assessment norms, the ABDE™ and SBDE™ credentials meet all the requirements of technology employers across industries around the world.
The Big Data Engineer track of the Data Science Council of America addresses the credentialing requirements of trained professionals who specialize in designing Big Data applications and writing codes and programs for them.Register Now
To become a Data Engineer, you must:
The most critical skills for any big data application developer/engineer are – in order of importance – the following:
The Associate Big Data Engineer (ABDE™) Certification is for young, graduating university or tech–school students or aspiring big data engineers who are getting ready to start their careers in the Big Data industry. This certification develops a strong understanding of the foundational concepts, frameworks, principles, and technologies used for maintaining data pipeline, structuring data, stream and batch data processing, designing data architectures, and managing integration tools/ databases/ analytical systems required in Big Data management. It is the perfect choice for students majoring in Computer Science, Software Engineering, IT, or another technical discipline.
The Senior Big Data Engineer (SBDE™) Certification takes data engineering to a whole new level. It is designed for experienced programmers and software engineers who want to move into the Big Data space or wish to grow faster in their careers. SBDE™ has an increased focus on advanced concepts, frameworks, and technologies used in designing the platform architecture, stream and batch data processing, customizing integration tools/ data warehouses for developing enterprise wide data analytics ecosystem. It is an ideal certification for professionals who have graduated in IT/Computer Science, Software Engineering, or another technical discipline.
The purpose of a Big Data Engineer Certification is to validate your knowledge and expertise which eventually gives you the winning edge over other professionals in your industry. A credible Big Data Engineer Certification is a great way to showcase your value to the potential employers. Opting for certification is the best option for individuals who are focused on career progression. According to Global Knowledge IT Skills and Salary Report, 85% of IT professionals possess at least one certification relevant to their work domain. The general rule is more the certifications, the better it is.
DASCA not being a technology developer or owner of a proprietary Big Data platform makes ABDE™ and SBDE™ vendor-neutral, cross-platform relevant, and DSBoK™ centered globally recognized Big Data Engineer Certification programs for Big Data Engineering careers.
According to reports, data engineering is one of the fastest-growing domains in technology, with over 88.3% growth in job postings and more than 50% year-over-year growth in several positions.
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