Date Venue Fee
16 Sep - 20 Sep 2024 Dubai – UAE $ 4,950 Register Now
09 Dec - 13 Dec 2024 Dubai – UAE $ 4,950 Register Now
16 Jun - 20 Jun 2025 Dubai – UAE $ 4,950 Register Now
15 Sep - 19 Sep 2025 Dubai – UAE $ 4,950 Register Now
08 Dec - 12 Dec 2025 Dubai – UAE $ 4,950 Register Now
About the Course

The evolution of cloud computing capabilities and big data analytics represent big opportunities for organisations and businesses to add unprecedented benefits and efficiencies previously dismissed as impossible. As industries and governments shift paradigms towards higher levels of integration, intelligence, authenticity, and sustainability, effectively exploiting the power of big data collected becomes the need of the hour. One of the strategies to recognise patterns, identify explanatory features’ relationships, test scenarios, and extract innovative insights is big data analytics.

Open data has increased companies and products across public and private sectors. According to the World Bank, a study by the McKinsey Global Institute estimated that open data used in seven sectors of the economy could create $3 trillion to $5 trillion annually in economic value worldwide. For this reason, the programme highlights the “Open Data Strategy” to provide high-value and reusable open data to increase transparency and foster innovation through collaboration, enabling a data-driven economy.

This 5-day interactive Big Data Analytics for Managers training course aims to highlight novel methods that leverage big data and their application to gain actionable insights that garner business value. Additionally, it provides the levels of big data analytics, including operational and advanced techniques towards more proactive, cognitive business models.

Core Objectives

The delegates will achieve the following objectives:

  • Appreciate the four characteristics of big data
  • Familiarise with the levels of big data analytics
  • Understand big data lifecycle and frameworks
  • Apply operational and advanced big data analytics 
  • Hone digital engineering and Fourth Industrial Revolution skills 
  • Utilise the paradigm of “The Data is the Model”
Training Approach

This training course will utilise various proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information and innovative methods presented, including presentation of theoretical concepts, team and individual exercises, case study analyses, educational videos and real-life applications. Delegates in this training programme will receive thorough training on the subjects covered by the seminar outline. 

The delegates will also learn to develop modern big data flow and control models for an actual field. The delegates will conduct lab exercises addressing big data visualisation and asset analytics.

The Attendees

The success of big data analytics in any organisation will involve people from several disciplines. This training course is designed for those who might be new to the field of big data and will serve as useful building blocks for those already active in this area. It is equally relevant to those involved in the broader application of big data.

Likewise, it will be valuable to the professionals but not limited to the following:

  • Operation Supervisors
  • Instrumentation and Control Technicians
  • Data and Information Managers
  • Professionals in Data Monitoring and Control Centres
  • Business and Government Leaders
  • All engineering disciplines
  • Compliance and Safety Officers
  • Cybersecurity Analysts
  • Services and Field Operators
  • Planning and Business Analysts
  • Professionals in Data Management, Information Technology, and Operational Technology
Daily Discussion

DAY ONE: OVERVIEW OF BIG DATA

  • The Four Vs of Big Data
  • Levels of Big Data Analytics
  • Inductive Analysis Process
  • Data and Information Flow
  • The Implicit Physics Hypothesis
  • The Data is the Model Approach

DAY TWO: BIG DATA APPLICATIONS

  • Data Complexity
  • System-based Approach
  • Human-Machine-Data Interface
  • Virtual Reality
  • Augmented Reality
  • Digital Twin

DAY THREE: BIG DATA COMPLIANCE

  • Information and Documentation Management
  • Creating Information and Documentation Audit
  • Legislation, Standards, and Regulation
  • Management of Master and Reference Data
  • Management of Data Quality
  • Data Warehousing Management

DAY FOUR: INFORMATION SECURITY

  • Understanding the Threat and Its Implications
  • Critical Infrastructures
  • Cybersecurity vs Physical Security
  • Integrated Solutions
  • Digital Policies
  • Cybersecurity for Contractors and Subcontractors

DAY FIVE: FUTURE OF BIG DATA

  • Big Data Assessment Framework
  • Workplace New Realities
  • Cybersecurity
  • Integrated: Secure Big Data
  • Project Assignment
  • Project Design and Optimisation