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Introduction Data Platforms (NL)
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Dive into the world of data platforms! Our Introduction to Data Platforms training opens doors to understanding, implementing, and optimizing robust data ecosystems.
Training codeCGAIDPLACDSpoken LanguageDutchLanguage MaterialsEnglishDayparts2Price€800,00excl. VAT No extra costs.Book Introduction Data Platforms (NL) 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 Data Platforms
Explore the benefits of the modern (cloud-based) data platforms (data lakes, data lake houses, cloud data warehouses), compared to ‘classic’ solutions like in-house data warehouses and data virtualization, but also where these classic solutions provide functionality not (yet) available in modern platforms.
Attend this training if you require an overview of the various data platform architectures and technologies, either because you are new to the subject, or because you are a specialist in one technology, and want to learn from the alternatives.
Our trainers have an extensive background in Data Platform implementation and maintenance. They know how they’re built and used in practice. They can therefore share “real-life” examples of data platform challenges, and how to deal with those.Who should attend Introduction Data Platforms
This training is suitable for:
- Data Engineers: Learn the main strengths and weaknesses of the various data platform technologies.
- Data Scientists: Understand what a data platform can and can’t do in data provision.
- Solution Architects: See how the different types of data platforms compare, and what the main points of attention are when implementing a specific one.
- Enterprise Architects: Enhance your knowledge of the role of data platforms within the enterprise architecture, and of the difference between in-house and cloud-based solution alternatives.
- Business Analysts: Gain insights into utilizing data platforms for informed decision-making.
- IT Managers: Understand the strategic importance of data platforms for organizational success.
- Cloud Architects: Explore cloud-based data solutions for scalable and flexible platforms.
Prerequisites
Prior to this training you need basic familiarity with data concepts and a keen interest in leveraging data for organizational growth.
Objectives
After this training you will be able to:
- Understand the role of data platforms in data ecosystems.
- Learn about the impact of ‘big data’ on data platforms.
- Compare data platform technologies and architectures.
- Gain insight in the strengths and weaknesses of these architectures.
- Understand how cloud-based solutions can provide scalability.
Dive into the world of data platforms! Our Introduction to Data Platforms training opens doors to understanding, implementing, and optimizing robust data ecosystems.
Training codeCGAIDPLACDSpoken LanguageDutchLanguage 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 Data Platforms
Explore the benefits of the modern (cloud-based) data platforms (data lakes, data lake houses, cloud data warehouses), compared to ‘classic’ solutions like in-house data warehouses and data virtualization, but also where these classic solutions provide functionality not (yet) available in modern platforms.
Attend this training if you require an overview of the various data platform architectures and technologies, either because you are new to the subject, or because you are a specialist in one technology, and want to learn from the alternatives.
Our trainers have an extensive background in Data Platform implementation and maintenance. They know how they’re built and used in practice. They can therefore share “real-life” examples of data platform challenges, and how to deal with those.Who should attend Introduction Data Platforms
This training is suitable for:
- Data Engineers: Learn the main strengths and weaknesses of the various data platform technologies.
- Data Scientists: Understand what a data platform can and can’t do in data provision.
- Solution Architects: See how the different types of data platforms compare, and what the main points of attention are when implementing a specific one.
- Enterprise Architects: Enhance your knowledge of the role of data platforms within the enterprise architecture, and of the difference between in-house and cloud-based solution alternatives.
- Business Analysts: Gain insights into utilizing data platforms for informed decision-making.
- IT Managers: Understand the strategic importance of data platforms for organizational success.
- Cloud Architects: Explore cloud-based data solutions for scalable and flexible platforms.
Prerequisites
Prior to this training you need basic familiarity with data concepts and a keen interest in leveraging data for organizational growth.
Objectives
After this training you will be able to:
- Understand the role of data platforms in data ecosystems.
- Learn about the impact of ‘big data’ on data platforms.
- Compare data platform technologies and architectures.
- Gain insight in the strengths and weaknesses of these architectures.
- Understand how cloud-based solutions can provide scalability.
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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 | |||||
| D.10.Information and Knowledge Management | |||||
| B.2.Component Integration | |||||
| A.6.Application Design |