Big Data Road Map Training in Singapore

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 1 Day
  • Price: Please contact for booking options
  • Upcoming Date:
  • UK & Singapore Based Global Training Provider

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.

We can organize this training at your preferred date and location. Contact Us!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

There are no prerequisites for this course.

What You Will Learn

  • 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

Training Outline

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

Why Choose Us

Experience Big Data Road Map in Singapore through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Singapore and worldwide, with flexible planning options for individual and corporate training needs.

Experience Big Data Road Map in a focused classroom environment in Singapore. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Big Data Road Map in Singapore solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.
Contact us for more detail about our trainings and for all other enquiries!

Big Data Road Map Training Course in Singapore Schedule

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

We can organize this training at your preferred date and location.
21 June 2026 (1 Day)
Singapore
26 July 2026 (1 Day)
Singapore
15 August 2026 (1 Day)
Singapore
21 August 2026 (1 Day)
Singapore
25 August 2026 (1 Day)
Singapore
22 October 2026 (1 Day)
Singapore
31 October 2026 (1 Day)
Singapore
05 November 2026 (1 Day)
Singapore

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