Big Data Road Map Training in Hong Kong

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Big data has become the new normal. Every enterprise wants to know how to integrate this new type of data and the associated infrastructure changes that need to be implemented. The world of big data infrastructure changes by the day, with new innovations happening everywhere. There are a slew of new technologies—Hadoop, NoSQL, BigQuery, Tableau, Qliktech, R, and Drill.

There are new papers on emerging technologies, such as Spanner and Dremmel. The big question is: Which of these technologies does your organization need? How do we evaluate and integrate them? How will this impact your EDW strategy? This session will focus on these topics and more.

What You’ll Learn

  • Big data: What is it? What will it solve?
  • Business users and big data
  • Building the business case
  • Next generation of business intelligence
  • Semantics, ontologies, and more
  • Managing the business rules for processing
  • Case studies
  • Big data and the data warehouse: the new landscape
  • Technology overview
  • Hadoop, NoSQL, Cassandra, Big Query, Drill, Redshift, AWS (S3, EC2)
  • Programming with MapReduce
  • Understanding analytical requirements
  • Self-service discovery platforms
  • The challenges of data processing
  • Workloads
  • Data management
  • Infrastructure limitations
  • Next-generation data warehouse
  • Solution architectures
  • The three S's: scalability, sustainability, and stability
  • People skills
  • Critical success factors

Who Should Attend

Enterprise architects and data warehouse architects; developers; anyone who wants to learn about big data technologies.

There are no prerequisites for this course.

  • Big data: Nedir, Neleri çözecek
  • İşletme kullanıcıları ve bigdata
  • Business case/ Olur durumu/olurluk incelemesi inşa etme
  • İş istihbaratının yeni jenerasyonu
  • Anlambilim, varlıkbilim ve dahası
  • İşleme için iş kurallarını yönetme
  • Örnek olay çalışmaları
  • Big data ve veri ambarı
  • Teknoloji değerlendirmesi
  • Hadoop, NoSQL, Cassandra, Big Query, Drill, Redshift, AWS (S3, EC2)
  • MapReduce ile programlama
  • Analitik gereklilikleri anlama
  • Self-servis keşif platformları
  • Veri işlem zorlukları
  • İşyükleri
  • Veri yönetimi
  • Altyapı sınırlamaları
  • Yeni nesil veri ambarı
  • Çözüm mimarileri
  • Ölçeklenebilirlik, sürdürülebilirlik ve stabilite
  • İnsani beceriler
  • Kritik başarı faktörleri

Module 1: Big Data and Business Case

  • What is Big Data? – Creating a definition
  • What will it solve? – Potential solutions for an organization (this will be specific for onsite courses)
  • Business Users and Big Data
    • Understanding Roles and Skiils – What does the business user bring to the table? Why should IT look to getting the business users own and drive the initiative?
    • Business User Ownership – What does this entail?
    • Challenges – Issues and Risks
  • Building the Business Case
    • Components of Big Data Business Case
    • How to build the Appropriate Business Case
  • Next Generation of Business Intelligence
    • Analytics and Metrics – What do we derive new?
    • Visualization Requirements – What are the changes and associated challenges?
    • Mashups – Understading multi-dimensional data management. Metadata is critical and why?

Module 2: Semantics and Ontologies

  • Introduction to Semantic Frameworks – Future of Visualization and Analytics
  • Understanding Semantic integration for Big Data – Where and How? Business Benefits.
  • Using Ontologies for Metadata Management – Case Study
  • Managing Business Rules for Processing - Case Study

Module 3: Big Data and the Data Warehouse

  • The New Landscape
  • What Can We Solve
  • How to Assess and Manage Data For Today and Future
  • Technology overview
    • Hadoop, NoSQL, Cassandra, Big Query, Drill, Redshift, AWS (S3, EC2)
    • Programming with MapReduce
    • Understanding analytical requirements

Module 4: Self-Service Discovery Platforms

  • Challenges of Data Management and Processing
  • MDM, Metadata and More – Have we moved over this?

Module 5: Workloads

  • Data Management
  • Infrastructure Limitations

Module 6: Next-generation data warehouse

  • Solution architectures
    • The three s’s: scalability, sustainability, and stability
  • People skills
  • Critical success factors

Module 7: Big Data Road map

  • Building A Road map
  • Risks and Mitigations
  • Business Driven Objectives
  • Solving A Million Dollar Puzzle
  • Readying The Organization



Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Hong Kong facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

06 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
17 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
06 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
17 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
07 March 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
13 March 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
20 March 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
07 March 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
Big Data Road Map Training Course in Hong Kong

Hong Kong is officially known as the Hong Kong Special Administrative Region of the People's Republic of China (HKSAR) and is a city and special administrative region of China on the eastern Pearl River Delta in South China. Hong Kong is one of the most densely populated places in the world, with over 7.5 million population. The official languages of the HKSAR are Chinese and English. Hong Kong is a highly developed territory and ranks fourth on the United Nations Human Development Index and the residents of Hong Kong have the highest life expectancies in the world.

The best time to visit Hong Kong is from September to December, since the temperatures, averaging between 19 to 28 degree Celsius. During this outdoor activities-friendly travelling season, you can take a walk along Victoria Harbour, visit the islands of Lantau, Lamma and Cheung Chau and participate in the Mid-Autumn Festival. Top choices of the tourists to visit in Hong Kong are Big Buddha statue, Wong Tai Sin Temple, Repulse Bay and the Beaches and Hong Kong Disneyland.

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