Dutch
English
-
Introduction Big Data (EN)
-
Volume, Velocity, Variety, Veracity. Also known as the 4 V's when it comes to Big Data. But what makes this Big Data? And what can you do with this?
Training codeCGAINBDECESpoken LanguageEnglishLanguage MaterialsEnglishDayparts2Price€800,00excl. VAT No extra costs.Book Introduction Big Data (EN) now
In group training, we use several learning methods to help you obtain the knowledge, give you helpful insights and get you inspired. Check the Spoken language and Language materials on the left for language info.
What is Introduction Big Data
In this ‘Introduction Big Data’ training, you will explore the vast world of Big Data, a collection of data that is so large and complex that traditional databases cannot efficiently store or process it. You will learn the basic concepts and techniques of Big Data and how it fits within the data architecture. The training will also cover various trends and developments in the field of Big Data.
Our trainers, who are seasoned professionals in the field, bring theoretical concepts to life by adding a practical perspective, offering insights drawn from their real-world experiences and sharing industry best practices. This comprehensive training is designed to empower you with the necessary knowledge and skills to adeptly navigate the intricate world of Big Data.
Who should attend Introduction Big Data
- Data Engineers: Professionals who work in data driven environments and need to incorporate Big Data solutions.
- Business Analysts and Information Analysts: Individuals who map requirements for data systems and create logical designs for them and want to utilize the power of Big Data.
- Data Architects: Those who design and build data systems and want to incorporate Big Data solutions.
- Data Analysts: Professionals who work with data and want to understand the potential of Big Data.
- Data Scientists: Professionals who build models and algorithms and can benefit from the additional insights provided by Big Data.
- IT Managers: Professionals overseeing IT infrastructure who need to understand how Big Data fits into their strategy.
Prerequisites
There are no specific requirements to participate in this training.
Objectives
At the end of the training you will be able to:
- Understand the reasons for having a data warehouse/data lake and business intelligence.
- Recognize the reasons for using Big Data technology.
- Familiarize yourself with the terminology around Big Data.
- Understand the concept of Big Data and Data Lakes.
- Stay updated with the trends and developments in the field of Big Data.
This training is a great opportunity to enhance your skills and understanding of Big Data. Join us for an enriching learning experience!
Volume, Velocity, Variety, Veracity. Also known as the 4 V's when it comes to Big Data. But what makes this Big Data? And what can you do with this?
Training codeCGAINBDECESpoken LanguageEnglishLanguage MaterialsEnglishDayparts2Price€800,00excl. VAT No extra costs.With an Incompany training you have several advantages:
- You choose the location
- You experience the training with your colleagues, so it is always in line with your practice
- The trainer can tailor explanations, examples and assignments to your organization
- In consultation exercises can be adapted to organization-specific questions
Request more information or a quote.What is Introduction Big Data
In this ‘Introduction Big Data’ training, you will explore the vast world of Big Data, a collection of data that is so large and complex that traditional databases cannot efficiently store or process it. You will learn the basic concepts and techniques of Big Data and how it fits within the data architecture. The training will also cover various trends and developments in the field of Big Data.
Our trainers, who are seasoned professionals in the field, bring theoretical concepts to life by adding a practical perspective, offering insights drawn from their real-world experiences and sharing industry best practices. This comprehensive training is designed to empower you with the necessary knowledge and skills to adeptly navigate the intricate world of Big Data.
Who should attend Introduction Big Data
- Data Engineers: Professionals who work in data driven environments and need to incorporate Big Data solutions.
- Business Analysts and Information Analysts: Individuals who map requirements for data systems and create logical designs for them and want to utilize the power of Big Data.
- Data Architects: Those who design and build data systems and want to incorporate Big Data solutions.
- Data Analysts: Professionals who work with data and want to understand the potential of Big Data.
- Data Scientists: Professionals who build models and algorithms and can benefit from the additional insights provided by Big Data.
- IT Managers: Professionals overseeing IT infrastructure who need to understand how Big Data fits into their strategy.
Prerequisites
There are no specific requirements to participate in this training.
Objectives
At the end of the training you will be able to:
- Understand the reasons for having a data warehouse/data lake and business intelligence.
- Recognize the reasons for using Big Data technology.
- Familiarize yourself with the terminology around Big Data.
- Understand the concept of Big Data and Data Lakes.
- Stay updated with the trends and developments in the field of Big Data.
This training is a great opportunity to enhance your skills and understanding of Big Data. Join us for an enriching learning experience!
-
Brochure
Related
e-CF competences with this course
At Capgemini Academy we believe in transparency and clarity in the training landscape. That is why, in the table below, we show you to which e-CF competence this training or certification contributes. For more information about how to use the e-Competence Framework read more here. If you want to know how you can apply the e-CF within your organization, read more on this page.
| e-Competence Level | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| A.5.Architecture Design | |||||
| A.6.Application Design | |||||
| B.2.Component Integration | |||||
| D.10.Information and Knowledge Management |