Gain Confidence and Technical Proficiency to Excel in the Microsoft Fabric DP-700 Certification Exam!
β 4.07/5 rating
π₯ 9,035 students
π April 2025 update
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
-
Course Overview
- Comprehensive Certification Preparation: This course is meticulously designed to provide you with the essential knowledge and practical skills required to confidently pass the Microsoft Fabric DP-700 Data Engineer Associate certification exam. It focuses on the core competencies demanded by modern data engineering roles within the Microsoft Fabric ecosystem.
- Mastering Microsoft Fabric: Dive deep into Microsoft Fabric, Microsoft’s unified analytics platform, understanding its architecture, components, and how to leverage it for end-to-end data solutions, from ingestion and transformation to warehousing and real-time analytics.
- Hands-On Practical Approach: Beyond theoretical concepts, the curriculum emphasizes hands-on exercises and real-world scenarios, ensuring you gain tangible experience in implementing data engineering solutions within Fabric’s integrated environment.
- Up-to-Date Content: Benefit from the latest platform updates and best practices with content refreshed in April 2025, ensuring you are learning the most current features and functionalities of Microsoft Fabric relevant to the DP-700 exam.
- Trusted by Thousands: Join over 9,000 students who have found value in this highly-rated course (4.07/5), reflecting its effectiveness and quality in preparing data professionals.
-
Requirements / Prerequisites
- Foundational Cloud Knowledge: A basic understanding of cloud computing concepts, particularly within Microsoft Azure, will be beneficial, though not strictly mandatory for core Fabric concepts.
- SQL Proficiency: Familiarity with SQL (Structured Query Language) for data querying and manipulation is highly recommended, as it is extensively used within Fabric’s Warehouse and Lakehouse environments.
- Basic Data Engineering Concepts: An introductory grasp of data warehousing principles, ETL/ELT processes, and data modeling concepts will help you assimilate the course material more effectively.
- Programming Aptitude: While not a deep programming course, some exposure to Python or basic scripting will be advantageous for understanding Spark notebooks and advanced transformations.
- Azure Subscription (Optional but Recommended): To fully engage with all hands-on labs and replicate real-world scenarios, an active Azure subscription with necessary permissions to provision Fabric workspaces and resources is advised.
-
Skills Covered / Tools Used
- Designing and Implementing Fabric Workspaces: Learn to structure your Microsoft Fabric environments, manage capacities, and configure security roles for effective team collaboration and resource governance.
- Mastering OneLake and Delta Lake: Understand the foundational data storage layer of Fabric, OneLake, and how to optimize data using the open-source Delta Lake format for reliability, performance, and ACID transactions.
- Data Ingestion with Data Factory: Develop robust data pipelines using Fabric Data Factory, including Dataflows Gen2, to ingest data from diverse sources (databases, APIs, files, streaming) into OneLake.
- Real-time Data Processing with Eventstreams: Implement solutions for capturing, transforming, and routing real-time streaming data using Eventstreams and integrate it with other Fabric components like KQL databases and Lakehouses.
- Advanced Data Transformation with Spark: Utilize Synapse Data Engineering notebooks with PySpark (Python for Spark) and Spark SQL to perform complex data transformations, aggregations, and data quality checks on large datasets.
- Building and Optimizing Synapse Data Warehouses: Design and implement high-performance data warehouses within Fabric, leveraging the SQL endpoint of Lakehouses, creating views, and optimizing queries for analytical workloads.
- Developing KQL Databases and Query Sets: Explore Real-Time Analytics capabilities by creating KQL databases for high-throughput log and telemetry data, writing KQL queries for insights, and integrating with Eventstreams.
- Implementing Data Activator: Set up Data Activator to monitor data changes across your Fabric items and trigger automated actions or alerts based on predefined conditions and thresholds.
- Data Governance and Security: Implement best practices for data security, access control, workspace roles, and understand the integration of Microsoft Purview for data discovery, lineage, and governance across Fabric.
- Monitoring and Performance Tuning: Gain skills in monitoring Fabric resource usage, identifying performance bottlenecks in pipelines and queries, and applying optimization techniques to ensure efficient data operations.
- Integrating with Power BI: Learn how to seamlessly connect your transformed data in Lakehouses and Warehouses to Power BI for robust business intelligence reporting and interactive dashboards.
- Medallion Architecture Implementation: Apply the Medallion architecture (Bronze, Silver, Gold layers) within your Lakehouse designs for structured and incremental data refinement.
- Git Integration for Version Control: Understand how to integrate your Fabric development with Git repositories for version control, collaborative development, and CI/CD practices.
-
Benefits / Outcomes
- DP-700 Certification Readiness: Emerge fully prepared to sit for and pass the Microsoft Fabric Data Engineer Associate (DP-700) certification exam, validating your expertise in the field.
- Job-Ready Data Engineering Skills: Acquire practical, in-demand skills in Microsoft Fabric that are directly applicable to modern data engineering roles, enhancing your employability and career prospects.
- End-to-End Data Solution Expertise: Develop the capability to design, implement, and manage comprehensive data solutions using Microsoft Fabric, from raw data ingestion to polished analytical insights.
- Confidence in Modern Data Platforms: Gain the confidence to architect and operate advanced analytics solutions on Microsoft’s cutting-edge unified platform, staying ahead in the evolving data landscape.
- Optimized Data Pipeline Development: Learn to build efficient, scalable, and maintainable data pipelines and data warehouses, ensuring high data quality and performance for business needs.
- Leverage the Latest Technologies: Work with the most current features and functionalities of Microsoft Fabric, ensuring your skills are relevant and aligned with industry standards.
-
PROS
- Highly Current Content: The April 2025 update ensures you are learning the very latest features and best practices for Microsoft Fabric, which is crucial for a rapidly evolving platform.
- Proven Effectiveness: With a 4.07/5 rating from over 9,000 students, the course demonstrates a strong track record of student satisfaction and successful learning outcomes.
- Direct Exam Focus: The curriculum is specifically tailored to the DP-700 certification objectives, making it an efficient path to exam success.
- Practical, Hands-On Learning: Strong emphasis on practical exercises and real-world scenarios ensures you gain tangible skills beyond theoretical knowledge.
- Comprehensive Coverage: Explores all critical components of Microsoft Fabric, providing a holistic understanding of the platform.
-
CONS
- Full benefits require self-discipline and potentially access to an Azure subscription for hands-on practice, which may incur additional costs.
Learning Tracks: English,IT & Software,IT Certifications
Found It Free? Share It Fast!