Certificate of Course Completion
This is to certify that
Name
has successfully completed the course in
Build, Transform & Manage Modern Data Solutions Data engineering is the foundation behind reliable analytics and data-driven applications. As organizations work with increasingly large and diverse data sources, data engineers need to build efficient...
Students & Data Learners Aspiring Data Engineers IT & Data Professionals Developers & Analysts Moving into Data Engineering
Upon successfully completing this program, participants will earn a verified digital certificate from YMetaconnect. This credential serves as a testament to your commitment to professional growth and mastery of the subject matter.
Note: Your verified digital certificate will be issued in the name used during registration. All certificate images are for illustrative purposes only and are subject to change at the discretion of YMetaconnect.
This is to certify that
has successfully completed the course in
Comprehensive learning modules covering core principles and advanced strategies focused on .
Comprehensive learning modules covering core principles and advanced strategies focused on .
Comprehensive learning modules covering core principles and advanced strategies focused on .
Comprehensive learning modules covering core principles and advanced strategies focused on .
Comprehensive learning modules covering core principles and advanced strategies focused on .
Follow a guided learning journey covering data ingestion, lakehouse architecture, real-time intelligence, data warehousing, orchestration, security, monitoring, and administration using Microsoft Fabric.
Connect to data sources, clean and transform datasets, and build practical workflows using Dataflows Gen2, Power Query, and Data Factory pipelines.
Create and manage Fabric lakehouses using OneLake, Apache Spark, Delta Lake, and Medallion Architecture to organize and process data efficiently.
Build and manage data pipelines to coordinate ingestion, transformation, and processing activities through structured, automated workflows.
Work with Eventstream, Eventhouse, KQL databases, and Real-Time Intelligence to ingest, route, analyze, and visualize streaming data.
Develop Fabric data warehouses, write T-SQL queries, implement data loading strategies, and work with slowly changing dimensions.
Practice large-scale data processing using Apache Spark and PySpark to query, transform, and analyze data within Fabric lakehouses.
Configure workspace roles, item permissions, OneLake security, row-level security, and data protection controls to manage access securely.
Practice version control, collaboration, and deployment using Git integration and Fabric deployment pipelines to manage changes across environments.
Develop a complete Fabric-based solution using a realistic scenario, applying data ingestion, transformation, storage, processing, orchestration, and monitoring.
Access supporting Microsoft Fabric learning resources throughout the program and receive a certificate upon successfully completing the course requirements
Secure your place in our upcoming cohort and transform your career path.