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Overview
About this Course
This course is for data professionals with experience in data extraction, transformation, and loading. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes.
Audience Profile
This audience for this course is data professionals with experience in data extraction, transformation, and loading. DP-700 is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics. Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).
Outline
Learning Path 1: Ingest data with Microsoft Fabric
Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.
Learning Path 2: Implement a Lakehouse with Microsoft Fabric
This learning path introduces the foundational components of implementing a data lakehouse with Microsoft Fabric.
Learning Path 3: Implement Real-Time Intelligence with Microsoft Fabric
Learning Path 4: Implement a data warehouse with Microsoft Fabric
Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.
Learning Path 5: Manage a Microsoft Fabric environment
Microsoft Fabric is a Software-as-a-Service platform for data analytics. Learn how to manage your environment through Continuous Integration/Continuous Deployment (CI/CD), monitoring, and security.
Prerequisites
While there are no required prerequisites for taking this course, it is recommended that students have:
- A foundational knowledge of core data concepts and how they’re implemented using Microsoft data services. For more information see Azure Data Fundamentals.
- Experience with data extraction, transformation, loading, and orchestration, such as skills in the DP-203: Azure Data Engineer certification.
- Should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).
FAQ
What if I have to reschedule my class due to conflict?
Ten (10) business days’ notice is required to reschedule a class with no additional fees. Notify TOPTALENT LEARNING as soon as possible at 469-721-6100 or by written notification to info@toptalentlearning.com to avoid rescheduling penalties.
How do I enroll for this class?
Please contact our team at 469-721-6100; we will gladly guide you through the online purchasing process.
What happens once I purchase a class?
You will receive a receipt and an enrollment confirmation sent to the email you submitted at purchase. Your enrollment email will have instructions on how to access the class. Any additional questions our team is here to support you. Please call us at 469-721-6100.
What is your late policy?
If a student is 15 minutes late, they risk losing their seat to a standby student. If a student is 30 minutes late or more, they will need to reschedule. A no-show fee will apply. Retakes are enrolled on a stand-by basis. The student must supply previously issued courseware. Additional fees may apply.
What happens when I finish my class?
You will receive a ‘Certificate of Completion’ once you complete the class. If you purchased an exam voucher for the class, a team member from TOPTALENT LEARNING will reach out to discuss your readiness for the voucher and make arrangements to send it.