About the Data Science Institute (DASCIN)
The Data Science Institute (DASCIN) promotes data-driven decision-making by advancing research, offering certification programs, and fostering a global network of practitioners. Through rigorous research, DASCIN provides valuable insights into the latest data trends and methodologies, while its certification programs ensure individuals are equipped with the skills needed to make informed decisions.
DASCIN has partnered with APMG to deliver world-class, vendor-independent certifications that empower professionals with the skills needed to excel in data-driven decision-making. This collaboration ensures that certifications maintain the highest standards of quality, credibility, and global recognition. By combining DASCIN’s expertise in data science and analytics with APMG’s rigorous accreditation process, these programs provide professionals with practical, industry-relevant knowledge that is applicable across various sectors. Together, DASCIN and APMG are committed to fostering a skilled workforce capable of leveraging data for innovation, efficiency, and strategic growth.
What is Big Data?
Every day, we create 2.5 quintillion bytes of data ......so much that 90% of the data in the world today has been created in the last two years alone.
Data growth, speed and complexity are being driven by the deployment of billions of intelligent sensors, devices and platforms that are transmitting data (popularly called the Internet of Things). The data generated is known as Big Data.
Big data is more than just a large data collection and storage management challenge. Enterprises that can make sense of it will be the big winners in this information economy. As the saying goes, “information is power”.
DASCIN Enterprise Big Data Framework®
The Enterprise Big Data Framework (EBDF) is a comprehensive, vendor-neutral methodology designed to help organizations structure, manage, and leverage big data for strategic decision-making. It provides a structured approach to implementing big data initiatives by defining key principles, processes, and best practices that enable businesses to extract meaningful insights from vast amounts of data. The framework emphasizes a holistic view of big data, encompassing data management, analytics, infrastructure, governance, and business value creation. By following EBDF, organizations can establish a solid foundation for handling big data challenges while ensuring alignment with business objectives.
The Big Data Framework Alliance
The Big Data Framework Alliance is an independent body for the development and advancement of Big Data best practices. Find out more here.
WATCH THE VIDEO BELOW TO HEAR ABOUT THE ENTERPRISE BIG DATA PROFESSIONAL COURSE OUTLINE
Training outcomes
DASCIN Enterprise Big Data Framework training and certification provides delegates with a strong foundation of the fundamental concepts and theories of big data concepts, technologies, best practices and tools, supporting them and their organization in leveraging the potential benefits, which include:
- Discovery of new patterns and data relationships impacting the business
- A greater understanding of customers to more precisely target products and services
- Enhanced decision-making by collecting more exact and detailed information
- Greater ability to accurately predict business outcomes and trends
- Accelerate the identification and correction of operational problems
- Improve the development of new and existing products and services
Who is it for?
The Big Data Framework training and certification scheme is designed for organizations and individuals that want to become proficient in enterprise analytics, machine learning and big data.
The framework is specifically designed for enterprise organizations that store massive quantities of data and are looking to enhance their big data capabilities.
Free Enterprise Big Data Training Guides
The Enterprise Big Data Professional Certifications are based on the Enterprise Big Data Guides, which can be downloaded for free - see HERE for further details.
DASCIN Enterprise Big Data Framework Certifications
The Enterprise Big Data Framework Certification Program, developed in collaboration with APMG International, provides a structured learning path for professionals seeking to master big data concepts, technologies, and best practices. Covering essential topics such as data architecture, machine learning, governance, and analytics, the program equips candidates with the skills needed to implement data-driven strategies and drive business value.
The DASCIN Enterprise Big Data Framework certifications scheme currently consists of the following credentials:
- Enterprise Big Data Professional (EBDP®)
- Enterprise Big Data Analyst (EBDA®)
- Enterprise Big Data Engineer (EBDE®)
- Data Literacy Fundamentals
Coming soon:
- Enterprise Big Data Scientist (EBDS®)
- Enterprise Big Data Architect (EBDAR®)
- Data Management Fundamentals
- Data Governance Fundamentals
Built on industry standards and best practices, the Enterprise Big Data Framework serves as a roadmap for organizations at various levels of data maturity, helping them transition from traditional data management to advanced analytics and artificial intelligence. It focuses on key areas such as data architecture, machine learning, data ethics, and operationalization of big data strategies.
Enterprise Big Data Professional
Confirm your understanding of the fundamental Big Data terminology, core concepts and solutions.
The Enterprise Big Data Professional qualification is an entry-level course for all professionals that aim to get a basic understanding of Big Data terminology, core concepts and Big Data solutions.
This certification suits the following roles:
- Data Analysts
- Project Managers
- Business Analysts
- Digital Marketeers
- IT Professionals
- Everyone who wants to learn more about Big Data
- The difference between Big Data and traditional data analysis techniques and solutions.
- The key functions, roles and competences in organizations necessary to capture value from massive quantities of data.
- The fundamental characteristics of data analysis, Big Data, machine learning and artificial intelligence.
- The core benefits of contemporary Big Data architectures.
- The importance and concept of Artificial Intelligence and its relation to Big Data methods and solutions.
- 90 minute duration
- Multiple choice
- 60 questions
- 39 marks (65%) required to pass
- Closed-book
Enterprise Big Data Analyst
Provides in-depth theory and practical guidance to deduce value out of Big Data sets.
Enterprise Big Data Analyst certification is aimed at Data Analysts and provides in-depth theory and practical guidance to deduce value out of Big Data sets.
This certification suits the following roles:
- Data Analysts
- Business Analysts
- Business Data Analysts
- Systems Analysts
- Data Management Analysts
- Business Analytics Consultants
- Data Scientists
- Data Modellers
- Key models and concepts that are required to analyze data on a day-to-day basis
- The theoretical difference between different statistical and machine learning approaches
- The difference between models, and select and apply the appropriate model when confronted with a business problem
- How to deduce value out of Big Data sets
- Objective testing based on a case study scenario
- 4 questions of 20 marks each
- 53 marks (65%) required to pass
- 2.5 hours duration
- Open book – The Enterprise Big Data Analyst’s Guide may be used in the exam
Enterprise Big Data Engineer
Learn the technical requirements to set up, maintain and improve Enterprise Big Data environments.
The target audience for the Enterprise Big Data Engineer (EBDE) certification primarily includes data professionals who are responsible for designing, implementing, and managing data infrastructure and systems within organizations. This includes
• Data Engineers
• Database Administrators
• Data Architects
• ETL Developers.
Additionally, the certification is suitable for software engineers, IT professionals and system analysts who aim to transition into data engineering roles or looking to expand their skill set.
The objectives of the Enterprise Big Data Engineer course include an advanced understanding of the technical environment and components necessary to construct and maintain a Big Data environment and correctly structure data pipelines.
The Enterprise Big Data Engineer course is designed to provide a comprehensive introduction to the world of Bid Data and technologies. By completing the course, individuals will have a solid understanding of processing to data governance and management, and will also cover data visualisation, business intelligence and machine learning. Candidates will have an understanding of data storage options including relational and NoSQL databases, data warehousing and data lakes and become proficient in using Hadoop including HDFS, MapReduce, Hive, Pig and Spark.
The course content is based on best practices and industry standards, ensuring that individuals who complete the course will be well-equipped to handle real-world technologies within Big Data environments.
- 120 minute duration
- Multiple choice
- 80 questions
- 52 marks or more required to pass
- Closed book
Data Literacy Fundamentals
Data Literacy Fundamentals helps you to manage and analyze data.
- The course is accessible to individuals regardless of their location or languages. The course (and exam) is currently being translated into Chinese, and we expect to add some other translations soon.
- The course is cost-effective, making it accessible to individuals and organizations with a range of budgets. By offering a high-quality, affordable data literacy course, the Enterprise Big Data Framework Alliance is helping to bridge the gap between the demand for data literacy skills and the availability of trained professionals.
- The Data Literacy Fundamentals course solves the problem of the growing gap between the demand for data literacy skills and the availability of trained professionals. In today's data-driven business environment, there is an increasing need for individuals who can effectively manage, analyze, and communicate insights from data. However, many organizations are struggling to find qualified professionals with the necessary skills.
- The Data Literacy Fundamentals course addresses this problem by providing individuals with the foundational knowledge and skills needed to work effectively with big data. By completing the course, individuals will have a solid understanding of data management, analysis, and visualization techniques, enabling them to make informed decisions based on data and communicate insights effectively to stakeholders.
- The course content is based on best practices and industry standards, ensuring that individuals who complete the course will be well-equipped to handle real-world data challenges.
- 60 minute duration
- Multiple choice
- 40 questions
- 26 marks or more required to pass
- Closed book
