Big Data Road Map Training in Hong Kong

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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

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.

Explore our diverse range of IT courses, encompassing programming, software development, cyber security, data science, business skills, and Agile/Scrum. Wherever you are in Hong Kong, our seasoned instructors will bring practical training and expert knowledge to your preferred training venue.

Big Data Road Map Training in Hong Kong

What You’ll Learn

Who Should Attend

Prerequisites

What You Will Learn

Outline

WHAT IS AWS BIG DATA?

THE ROAD AHEAD: BIG DATA'S IMPACT ON THE AUTOMOTIVE INDUSTRY

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