Introduction of Big Data Certification

Big Data includes but not limited to Data As A Service (DaaS), massive data, related technologies, and applications. Nowadays, professionals from academia and industry are exploring potential values of big data in various scenarios. New computing platforms such as Cloud Computing, Mobile Internet, and Social Networking are leveraged to create innovations around big data.

From government perspective, the US Government declared a $200M budget to launch its Big Data Initiative on March 29, 2013. On July 25, 2012, The European Union announced Big Data for You.

From industry perspective, leading software and Internet companies such as IBM, SAP, Oracle, Google, Microsoft, Yahoo, Alibaba, Tencent, Baidu have been building products and solutions arpund big data.

Enterprises are transforming their roles from data holders to data managers and consumers. Minning data to generate values requires scientific methods and technologies. However, there are few professionals who have systematic ways of addressing big data. Accenture predicts that at least 140,000 big data professionals should be added to the talent pool in the United States. Meanwhile, at least 1.5M professionals are needed to help analyze data and make effective decisons for enterprises. Gartner also indicated that 75% of data scientist positions will be hard to fill in.

Services Society (SS) has been leading the platform for exchanging information and knowledge on the latest service-centric technologies and solutions. SS has been Co-Sponsoring the International Conference on Big Data (BigData). SS has also sponsored the Services Transactions on Big Data (STBD), which is the leading journal on big data's research and developments.

In order to address the shortage of Big data professionals, Services Society led the creation of Body of Knowledge on Big Data (BoK-BD) in 2014.

Based on the first version of BoK-BD, Services Society launched International Certification Program for Big Data Certification (ICP4BD), which includes the following two certification categories.

>>Category 1: Big Data for Job Positions

1.1 Big Data Business Analyst (BDBA)
Key Skills: data warehouse, data minning, machine learning, data analysis algorithm, requirement-driven data modeling, data-driven business decision making

Knowledge Areas: See BoK-BD.

1.2 Big Data Engineer (BDE)
Key Skills: distributed system (e.g. Hadoop, Hive, Storm, Spark), scalable database programming, Web programming, mobile programming

Knowledge Areas: See BoK-BD.

1.3 Big Data Architect (BDA)
Key Skills: data warehouse design, cloud storage, computing architecture (e.g. SOA, Cloud), ETL architecture, distributed system architecture (e.g. Hadoop, Hive, Storm, Spark), system redesign, independent product design.

Knowledge Areas: See BoK-BD.

Key Requirements for Category 1:
1). 5 years working experience in related areas;
2). Complete related scores (e.g. scores from selected MOCC courses, scores from published research journals);

>>Category 2: Big Data for Professional Grade

2.1 Certified Big Data Professional (CBDP)
With this certificate, you can serve as a chief architect, or data scientist in an organization.

Key Requirements for Category 2:

1). 5 years working experience;
2). Complete at least two certificates defined in Category 1;
3). Complete related scores (e.g. scores from selected MOCC courses, scores from published research journals);
4). 3 references from CNDP holders or at least 2 references from the program committee of ICWS, SCC, CLOUD, BigData Congress, SERVICES, or editorial board members from the Services Transactions on Services Computing, Services Transactions on Big Data, Services Transactions on Cloud Computing, Services Transactions on Services Computing and Services Transactions on Internet of Things.



:First time: $200 (including electronic certificate, paper certificate, and postage);

Renew (every year): $100

Training Cost: $900 per certificate

Reissue: $100 for reissuing a paper certificate (regular mail), a complimentary electronic certificate for the current year.