Kıbrıs Big Data Road Map Eğitimi

• Bu eğitimde 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