The role of big data has become very essential in several industries. The industries are taking help from it to get valuable insights to stay ahead. Every industry has a great amount of data, which they don’t understand what to do with.
The need for big data engineers in these industries has grown because only they can build frameworks and data pipelines, and create business value out of data. To develop these they require certain skills, which can be developed with the help of certifications. If an individual is seeking a way to get an edge, then certification is the best option.
Certifications measures an individual’s knowledge and skills about the industry as well as vendor-specific benchmarks to prove to the employers that the individual has the right kind of skillset.
Below is the guide to the most sought-after data engineer certifications, which will help to decide which fits the best for you.
The CCP: Data Engineer certification tests the applicant’s ability to develop autonomous, reliable, and scalable data pipelines which result in data sets optimized for various workloads. The test needs the applicants to complete the performance-related tasks with sample large data sets and perform core tasks in Cloudera Distributed Hadoop (CDH) environment, including ingesting, transforming, storing, and analyzing data. The certification needs passing the remote-proctored CCP: Data Engineer Exam. The exam duration is four hours. And the exam consists of five to eight customer problems each with a unique, large data set on a Cloudera Distributed Hadoop (CDH) cluster. For every problem, the applicant should implement a technical solution with a high degree of precision that meets all the requirements.
Data Science Council of America (DASCA) Big Data Engineering Certifications
DASCA Big Data Engineering Certifications are major international qualifications today which are designed for software engineers and programmers, who want to enter or grow in the high–demand big data development and the engineering profession. It offers two levels of global certification programs:
• Associate Big Data Engineer (ABDE™) — This credential gives insights into popular big data platforms, like Hadoop and Spark, and knowledge of proprietary and open-source developer tools such as HBase, Hive, Pig, and HiveQL. It is required to pass a 75-question online exam. This credential is designed for graduate students of computer science, information technology, computer applications, and programming.
• Senior Big Data Engineer (SBDE™) — This data engineer certification is a scale-up from the associate credential. This credential demonstrates knowledge on all essential proprietary platforms for big data engineers. It is required to pass an 85-question online exam. This credential is designed for experienced professionals who aspire to move into the big data space or want to grow quicker in their respective careers.
Both the credentials exam duration is 100–minutes, and it is an online exam. And a complete exam preparation kit will be given. The kit contains the following
• Handbook 1: Foundations of big data engineering
• Handbook 2: Advanced big data engineering
• Online learning & preparation resources
The IBM Certified Data Engineer — Big Data certification is specially designed for big data engineers, who work directly with data architects and hands-on developers to convert an architect’s big data vision into reality. This certification demonstrates an understanding of the technologies to solve big data problems and also offers the ability to develop large-scale data processing systems for the organization. It is required to pass a test that consists of five sections, which contains a total of 53 multiple-choice questions.
The Google Professional Data Engineer certification tests the applicant’s ability to design, build, operationalize, secure, and monitor data processing systems. The exam has no prerequisites, though Google recommends applicants to have three or more years of industry experience, including one or more years designing and managing solutions using Google Cloud Platform. It is required to pass a test that consists of multiple-choice and multiple-select. The exam duration is two hours is available in English and Japanese. This exam can be taken as an onsite-proctored exam at a testing center or as an online-proctored exam from a remote location.
The Microsoft Certified: Azure Data Engineer Associate tests the applicant’s ability to designs, monitors, optimizes, and implements the management, security, and privacy of data using the full stack of Azure data services to satisfy business requirements. This certification is the last stage after many training modules have been completed. Each module trains the applicant to be skilled in using Azure’s suite of products. Each module takes less than one day and should not take more than 10 hours based on the commitment of each applicant at any given time. The applicant who wants to pursue this certification must have subject matter expertise in integrating, transforming, and consolidating data from several structured and unstructured data systems into structures, which are suitable for developing analytics solutions.
The SAS Certified Big Data Professional certification program offers applicants knowledge about big data by using a variety of open-source tools and SAS Data Management tools. This certification program focuses on SAS programming skills, transforming, accessing, and manipulating data, improving data quality for reporting, working with Hadoop, Hive, Pig, and SAS, as well as exploring and visualizing data. To this certification, the applicant must pass all five exams, which consist of short-answer, interactive questions, and a mix of multiple-choice. These are the following five exams:
SAS Certified Advanced Analytics Professional:
1. SAS Advanced Predictive Modeling
2. Predictive Modeling Using SAS Enterprise Miner 7, 13, or 14
3. SAS Text Analytics, Time Series, Experimentation and Optimization
SAS Certified Big Data Professional:
1. SAS Big Data Programming and Loading
2. SAS Big Data Preparation, Statistics and Visual Exploration
Big data is the lifeblood of any successful business. If an individual is considering a career as a data engineer then doing certifications will provide the right skills that will help them to move up in their career.