As suggested by the US Bureau of Labor Statistics, the number of computers and IT employment is predicted to grow by 13 percent between 2020 and 2030. Professionals who pursue a career in big data engineering can demonstrate their skills by obtaining big data engineering certifications from software development businesses or institutes. Because big data is so appealing, being certified and pursuing a career in the sector is a wise decision.
Why is it so vital to earn big data engineering certifications?
According to Statista reports, in 2022, more than 181 zettabytes of data will be generated globally by 2025, necessitating big data engineering experts with enhanced abilities to handle massive volumes of data.
While all of this data is being evaluated and turned into useful information, it will be stored in scalable and cost-effective data platforms.
Undoubtedly, software engineers may have obtained the necessary skills during their education or while working for organizations that deal with small amounts of data, but they may not have the most up-to-date abilities for dealing with big amounts of data.
Not all engineers in this field will have hands-on experience with Apache Cassandra or MongoDB as well as other databases, tools, and data pipelines, to fully comprehend and analyze various elements of big data.
In case they did, the talent gap in big data engineering would never exist!
This is where data engineering certification play a vital role. Earning these credentials will:
- Give big data professionals with non-technical backgrounds the motivation they need to succeed in their respective sectors.
- Reduce the scarcity of experienced big data specialists and increase your chances of being called in for an interview by employers.
- Help you have a wide range of work prospects across industries and will not be limited by your industry. This is critical for staying relevant and adaptable in a competitive talent market.
Let us now skim through some of the best data engineering certifications you can earn to hone your data engineering skills.
IBM Certified Data Engineer
This credential offered by IBM helps candidates to gain an understanding of:
- Fundamentals of RDBMSs, including schemas, tables, security, and working with MySQL and IBM Db2.
- ETL, data pipelines using Apache Kafka, Apache Airflow, Python, and querying with business intelligence tools.
Associate Big Data Engineer (ABDETM)
This credential is offered by the Data Science Council of America (DASCA). Big data professionals who earn this big data engineering certification will be well-versed in:
- Using MongoDB, you can create data analytics apps and stream high-volume data storage and processing.
- Understanding data types, streaming data, and learning the frameworks for analyzing, managing, and exploiting massive datasets with R and Python are just a few of the topics covered.
- Streaming data architectures, data storage, batch data processing, and implementing enterprise data analytics
Cloudera Certified Professional (CCP) Data Engineer
By getting this certification, big data engineers will:
- Be able to prove that they have the key competencies required to alter, assess, store, and ingest data in Cloudera’s CDH environment.
Applicants for the CCP Data Engineer must have extensive expertise in designing data engineering solutions as well as a high level of mastery of big data skills.
Google Cloud Certified Professional Data Engineer
Professionals earning this certification will be able to:
- Develop and design data processing systems
- Ensure high-quality solutions
- Build and operationalize ML models and data processing systems
