Date Venue Fee
29 Apr - 03 May 2024 Salalah - Oman $ 4,950 Register Now
24 Jun - 28 Jun 2024 Dubai – UAE $ 4,950 Register Now
26 Aug - 30 Aug 2024 Dubai – UAE $ 4,950 Register Now
07 Oct - 11 Oct 2024 Istanbul - Turkey $ 5,950 Register Now
09 Dec - 13 Dec 2024 Dubai – UAE $ 4,950 Register Now
About the Course

Living and working in the age of big data requires new data-driven innovative ways to provide great value & great opportunity and surpass expectations. Advanced simulators with sophisticated human-machine interfaces are prevailing to solve old and new industry pain points and bottlenecks. Accordingly, improving the value extracted from the data collected is vital to drive new efficiencies and capabilities previously dismissed as impossible.

As businesses and governments shift paradigms towards higher levels of integration, intelligence, authenticity, and sustainability, effectively exploiting the power of emerging big data technologies becomes necessary. Big data emerging technologies are revolutionising the global business outlook, boosting operational excellence and overcoming challenges that once seemed insurmountable.

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, this training programme highlights the “Open Data Strategy” to provide high-value and reusable open data to increase transparency and foster innovation through collaboration.

This 5-day interactive Big Data Emerging Technologies training course showcases the beneficial applied use of big data emerging technologies. Additionally, it demonstrates flexibility and agility to adopt novel big data strategies, adapting to new industry needs and trends in a rapidly changing environment.

Core Objectives

The delegates will achieve the following objectives:

  • Apply Big Data in innovative ways to solve old & new industry problems
  • Improve value extracted from data collected
  • Familiarise with the big data landscape
  • Understand big data lifecycle and frameworks
  • Increase the efficiency of dealing with large amounts and different types of data
  • Adopt new digital needs and trends
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. The delegates will also learn to develop modern big data flow and control models as applied to their industry and work environment. They will conduct lab exercises addressing big data visualisation and asset analytics.

The Attendees

The success of big data initiatives 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:

  • Data and Information Managers
  • Professionals in Data Monitoring and Control Centres
  • Business and Government Leaders
  • Planning and Business Analysts
  • Professionals dealing with large amounts and different types of data
  • Professionals interested in Emerging Technologies and Digital Transformation
Daily Discussion

DAY ONE: THE AGE OF BIG DATA

  • The Big Data Landscape
  • Characteristics of Big Data
  • Big Data Challenges
  • Inductive Analysis Process
  • The Implicit Physics Hypothesis

DAY TWO: THE BIG PICTURE

  • Open Data
  • Big or Messy Data?
  • Data Quality and Uncertainty
  • Levels of Data Analytics
  • Storyboarding and Visualisation
  • Big Data-Powered Decision-Making

DAY THREE: BIG DATA MANAGEMENT & 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

  • The Roots of the Threat
  • Critical Infrastructures
  • Cybersecurity vs Physical Security
  • Integrated Solutions
  • Digital Policies
  • Contractors and Subcontractors

DAY FIVE: FUTURE OF BIG DATA

  • The Big Picture
  • Big Data Assessment Framework
  • Big Data Workflow
  • Optimisation Decision-Making
  • Workplace New Realities