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Master end-to-end data engineering with Azure Databricks and Unity Catalog. This course moves from foundational setup to production deployment, covering environment configuration and enterprise-grade governance.
Prepares for Exam:
Implementing Data Engineering Solutions Using Azure Databricks DP-750
Prepares for Certification:
Microsoft Certified: Azure Databricks Data Engineer Associate
Attend this and 60+ other Microsoft courses for FREE with Unlimited Microsoft Training
Overview
Learn to build robust ingestion pipelines, implement security with Unity Catalog, and deploy optimized workloads. By the end, you will have the practical skills to implement, secure, and maintain scalable lakehouse solutions that meet rigorous enterprise requirements.
Instructor-led training
Personal Learning Path
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Who is this course for?
The target audience is data engineers who have fundamental knowledge of data analytics concepts, a basic understanding of cloud storage, and familiarity with data organization principles. They should be comfortable working with SQL and have experience using Python, including notebooks, for data engineering tasks. Learners are expected to have a good understanding of Azure Databricks workspaces and Unity Catalog, along with familiarity with data access patterns and core data engineering and data warehouse concepts. In addition, they should have foundational knowledge of Azure security, including Microsoft Entra ID, and be familiar with Git version control fundamentals.
Curriculum
Preparation
At Readynez, we provide many resources and have experienced experts in the field. That is why we are also very successful with many satisfied customers. You can therefore safely take your course with us. While there are no strict entry requirements, certain foundational knowledge may enhance your learning experience. Any recommended prerequisites specific to this course are detailed below..
Familiarity with SQL and data organization principles
Familiarity with data engineering concepts and SQL
Familiarity with SQL and data access patterns
Fundamental knowledge of data analytics concepts
Basic understanding of cloud storage concepts
Good understanding of Azure Databricks workspaces and Unity Catalog concepts
Knowledge of Microsoft Entra ID and Azure security fundamentals
Knowledge of fundamental data engineering and data warehouse concepts
Knowledge of Git version control fundamentals
Experience with Python programming and notebooks
Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.
Julian Sharp delivers high-quality, LIVE instructor-led training in Microsoft Dynamics 365 and Power Platform for professionals seeking real-world skills and certification readiness. With decades of industry experience and deep technical expertise, he helps learners master complex solutions efficiently.
FAQ
The DP-750 certification validates your ability to design and implement data engineering solutions using Azure Databricks.
Basic familiarity with Azure services and data concepts is recommended, but not mandatory.
Yes, basic knowledge of Python or SQL is helpful, as you will work with Spark and data transformations.
Yes, the course is aligned with the official exam objectives and includes hands-on labs and exam-focused content.
You will work with Azure Databricks, Apache Spark, Delta Lake, and Azure data services.
Absolutely. The course includes real-world labs and practical exercises.
It can be delivered as instructor-led training or self-paced online learning.
Reviews
Easy to attend over Teams and an excellent instructor gave me great value for the time I invested.
A Good informative course with a good mix of showing and hands on.
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This 4-day comprehensive course prepares participants for the Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) exam. Designed for aspiring data engineers, the program covers key concepts like data pipeline creation, storage optimization, and real-time analytics using Microsoft Fabric. Participants gain hands-on experience with real-world scenarios, ensuring they are exam-ready and equipped to earn the prestigious certification. This training is ideal for professionals looking to advance their expertise in modern data engineering practices.
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