Upskilling individuals with vendor-neutral expertise in Big Data
APMG has partnered with the Big Data Framework to educate and certify Big Data experts by launching the Enterprise Big Data (EBD) Certifications.
Big Data Framework is an independent organization dedicated to upskilling individuals with expertise in Big Data.
As a global accreditation and certification body – APMG administers the EBD Certification exams and quality assures its training courses.
The partnership was formed in response to high demand for expertise in extracting valuable insight from large volumes of enterprise data, and the need to be able to apply it to any platform required.
Read launch announcment HERE
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 a simply 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”.
Big Data Framework®
The Big Data Framework® was developed by the Big Data Framework Alliance to provide a uniform industry-leading and vendor-neutral standard for big data proficiency in enterprise organizations. It provides the basis for the supporting training and certification scheme from APMG.
The framework supports organizations with the development of their Big Data capabilities. It provides a vendor-neutral, standardised approach to big data analytics, machine learning and big data best practices across any platform including Amazon Web Services, Microsoft Azure and the Google Cloud Platform.
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 at www.bigdataframework.org.
Training outcomes
Big Data Framework training and certification provides delegates with a strong foundation of the fundamental concepts and theories of big data technologies 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 Big Data Training Guide
The Enterprise Big Data Professional Certification is based on the Enterprise Big Data Professional Guide, which can be downloaded for free - see HERE for for further details.
Qualifications available:
- Enterprise Big Data PROFESSIONAL
Coming soon:
- Enterprise Big Data ANALYST
- Enterprise Big Data SCIENTIST
- Enterprise Big Data ENGINEER
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.
The Enterprise Big Data Professional certificate is a pre-requisite.
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
