Course Outline


Introduction

  • Introducing Big Data : Evolutions over the years
  • The Characteristics of Big Data
  • Identifying Different Sources of Big Data
  • How Big Data Is Used in Business ?

 

The challenges of Big Data

  • Identifying the Challenges of Big Data : Current and Emerging Challenges
  • Why Businesses are Struggling with Big Data ?
  • State of Big Data Projects
  • Understanding the layers of big data architecture
  • The Big Data Management - Introduction
  • Defining capabilities of big data management
  • Overcoming obstacles with big data management

 

Building Blocks of an Efficient Big Data Management

  • The Big Data Laboratory versus Big Data Factory
  • Understanding the Three Pillars of Data Management
  • Data Integration
  • Data Governance
  • Data Security
  • Understanding functions of Big Data Management Processes
  • Competencies of the Big Data Team

 

Implementing Big Data Management

  • Implementing the Big Data Management
  • Identifying Big Data Tools
  • Leveraging the Right Tools
  • What are Commercial Tools built atop Open Source Projects ?
  • How to combine Integration, Governance and Security ?

 

Conclusion - Tips for Succeeding with Big Data Management

  • Use Cases to provide Business Value
  • Identifying Data Quality Issues Early
  • Aligning Your Vocabulary
  • Centralizing and Automating your Data Management
  • Leveraging Data Lakes
  • Collaborative Methods for Data Governance
  • Using a 360-Degree View on your Data and Relationships
  • How to work with Vendors to Accelerate Your Deployments ?

Requirements

There are no specific requirements needed to attend this course.
  14 Hours
 

Need help picking the right course?
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Testimonials

the scope of material

Maciej Jonczyk

systematizing knowledge in the field of ML

Orange Polska

I really was benefit from the willingness of the trainer to share more.

Balaram Chandra Paul

I generally was benefit from the presentation of technologies.

Continental AG / Abteilung: CF IT Finance

Overall the Content was good.

Sameer Rohadia

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.

Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

I really enjoyed the introduction of new packages.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

The tutor, Mr. Michael An, interacted with the audience very well, the instruction was clear. The tutor also go extent to add more information based on the requests from the students during the training.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

The example and training material were sufficient and made it easy to understand what you are doing.

Teboho Makenete

Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.

Jamie Martin-Royle - NBrown Group

The content, as I found it very interesting and think it would help me in my final year at University.

Krishan Mistry - NBrown Group

I generally liked the fernando's knowledge.

Valentin de Dianous - Informatique ProContact INC.

The broad coverage of the subjects

- Roche

Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra

Marija Hornis Dmitrovic - Marija Hornis

R programming

Osden Jokonya - University of the Western Cape

Practical exercises

JOEL CHIGADA - University of the Western Cape

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