Opleiding: DP-600 Microsoft Fabric Analytics Engineer

Korte beschrijving

Master enterprise-scale data analytics with Microsoft Fabric and elevate your data engineering skills.

Inhoud

Master enterprise-scale data analytics with Microsoft Fabric and elevate your data engineering skills.
This training covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Trainees will learn how to use Fabric dataflows, pipelines, and notebooks to develop analytics assets such as semantic models, data warehouses, and lakehouses. This training is designed for experienced data professionals skilled at data preparation, modeling, analysis, and visualization, such as the PL-300: Power BI Data Analyst certification.


Embarking on the DP-600 Fabric Analytics Engineer Associate training equips you with the skills to implement and manage robust data analytics solutions using Microsoft Fabric. The expertise of our trainers adds a practical dimension to the theoretical concepts, providing real-world insights and best practices. This training ensures you stay ahead in the rapidly evolving field of data analytics, making you a valuable asset to any organization. By mastering Fabric dataflows, pipelines, and notebooks, you will be well-prepared to develop and manage advanced analytics assets, enhancing your career prospects and professional growth.

Doelgroep

This training is suitable for:

• Data Engineers: To design and implement scalable data solutions.
• Data Analysts: To enhance data preparation and visualization skills.
• BI Developers: To build and manage data warehouses and semantic models.
• Data Scientists: To leverage advanced analytics tools and techniques.
• Solution Architects: To design comprehensive data solutions.
• Database Administrators: To manage and maintain data assets.
• Consultants: To provide expert advice on data analytics solutions.
• Business Analysts: To translate business requirements into data solutions.

Voorvereisten

Participants should have a solid understanding of data processing languages, such as SQL, and experience with data modeling, data preparation, and data visualization. Familiarity with Microsoft Fabric and related tools is beneficial but not required. The ‘PL-300 Microsoft PowerBI Data Analyst’ training addresses these topics and is ideally suited for pre-training.

Doelstelling

At the end of the training you will be able to:
This course is designed to optimize your learning experience and ensure you gain the skills necessary to excel in the field of data analytics.

• Implement data warehouse with MS Fabric.
• Work with semantic models.
• Administrate and govern MS Fabric.
• Prepare the most common workshops for your working environment.
• Develop and manage Fabric dataflows, pipelines, and notebooks.
• Create and maintain semantic models, data warehouses, and lakehouses.
• Implement best practices for enterprise-scale data analytics solutions.
• Optimize data analytics infrastructure for performance and scalability.

Exameninformatie

This training includes a voucher for the official, internationally recognized exam. The costs of the exam voucher are included in the price of the training. Shortly after the start of the training you will receive a voucher with which you can reserve your exam Bear in mind that you must plan your exam at least 5 working days in advance For more info check: https://academy.capgemini.com/insights/exams
Exam Guarantee
We have full confidence in the quality for our training. Therefore, if you take this training in our open schedule, we offer an Exam gurantee.
This means that you can retake the training for free, and you'll receive a complimentary exam voucher if you don't pass the exam on your first attempt.
The following conditions apply:

• You attended the entire training.
• You took the first exam within 2 months after the training.
• There is a maximum of 1 year between your initial training and the free training.
• Exam duration (minutes): 120
• % extra time for non-native speakers: 0
• Number of exam questions: 65-75
• Minimum correct questions: 0,7
• Exam style: Multiple choice
• Open book: No