Big Data Series
Big Data 101 and its Challenges
28
Apr 2020
9:30 am - 11:00 am
SIDC LMS
Speakers : Dalbir Singh
Learning Hours
1.5 hours (including Pre & Post Assessments)
Outline
- What is big data
- Characteristics of big data
- Data generation and harnessing of big data
- Types of analytics
- Data science vs Big data analytics
- Challenges in big data
- Skills required
- Channel journey
Learning Outcomes
By the end of this programme, participants will be able to:
- Explain big data and its characteristics
- Describe the features, concepts, methodologies, systems and tools that make-up big data analytics
- Discuss the challenges faced in managing big data
Competencies
 |
Core Customer Focus (Proficiency Level 3) Functional (Technical Skills) Digital Technology Application (Proficiency Level 3) Behavioural Creativity & Innovativeness and Business Acumen (Proficiency Level 3) |
Target Audience
Individual 
Dealers, trading representatives, compliance, risk management Officers, fund managers, analysts, employees of PLCs, academicians, university students and employees impacted by Big Data.
Institutions 
Investment Banks, stockbroking companies, futures and options companies, fund management companies, PLCs, consultants.
Dalbir Singh
Regional Lead Smart Cities
ASEAN at Cisco
Dalbir is an Entrepreneurial Technologist with years of proven strength in consultancy, strategy, innovation and technology for digital transformation in various verticals such as Government, Real Estate, Education, BFSI and Service Provider. Dalbir started off with a strong engineering background in Network and Security and with his continuous drive for growth and excellence, he evolved into being a trusted advisor to many organizations when it comes to digital transformation. His unique gift in understanding both business and technology and bridging the gap between the two has benefited many. Dalbir is also often called to speak in conferences and to conduct trainings on Digital Transformation, Smart Cities, Big Data, Cyber Security and Leadership.
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