Microsoft DP-700 prep: Fabric Data Engineer Associate

Why take this course?
🌟 Master Microsoft's Data Engineering with DP-700 & APL Skills! 🌟
Course Headline
< strong>> "Learn PySpark, SQL, KQL and Fabric for DP-700 exam prep. Plus, get a head start on APL-3008, 3009, and 3010 Microsoft Applied Skills!"
Course Description:
A comprehensive online course designed to prepare you for the Microsoft DP-700 "Fabric Data Engineer Associate" certification exam. This course also provides a valuable foundation for the APL-3008, 3009, and 3010 Microsoft Applied Skills assessments.
📚 Course Content: This course is based on the Study Guide for "Implementing Analytics Solutions Using Microsoft Fabric" and covers all the essential topics required to excel in the DP-700 exam. It's a self-paced learning journey that will take you through the intricacies of data engineering with Microsoft's powerful tools and services.
What You Will Learn:
1. Exploring Fabric:
- Get acquainted with the Microsoft Fabric platform and its capabilities.
2. Dataflow Gen2 & Pipelines:
- Master data ingestion, copying, and scheduling using Dataflow Gen2.
- Monitor and manage your data pipeline runs effectively.
3. PySpark & SQL in Notebooks:
- Learn to load and save data within notebooks. 📚
- Manipulate dataframes and enhance your data handling skills with PySpark and SQL.
- Dataframe Transformations: Choose which columns and rows to display.
- Type Conversions: Convert data types to optimize your data.
- Data Aggregation & Sorting: Aggregate, sort, and manipulate dataframes for better insights.
- Lakehouse Data Transformations: Identify missing data and handle it efficiently.
4. Performance Optimization of Notebooks:
- Improve the performance of your notebooks and automate repetitive tasks.
- Create objects like shortcuts and file partitioning to streamline your workflow.
5. Data Warehouse Techniques:
- Transform data for use in a data warehouse and manage incremental data loads.
- Optimize queries for performance and effectiveness.
6. KQL Mastery:
- Learn how to select, filter, aggregate, and manipulate data using KQL. 🔍
- Understand complex functions such as strings, numbers, date-times, and timespans.
7. Eventhouse & Streaming Data:
- Create an eventhouse and transform streaming data with real-world applications.
- Review and enhance your KQL knowledge from the DP-600 exam.
8. Workspace Settings & Monitoring:
- Configure workspace settings for optimal performance.
- Learn to monitor your data flows and ensure everything runs smoothly.
Why This Course?
No prior knowledge is required to start this journey; however, any existing knowledge of PySpark, SQL, or KQL will certainly be helpful. Phillip Burton's course is designed for beginners and beyond, providing a step-by-step guide through each concept. By the end of this course, you'll have a solid understanding of using notebooks to manipulate data with PySpark, which is a crucial skill for the DP-700 exam.
Course Benefits:
- Expert Instruction: Led by an experienced instructor who knows the material inside and out.
- Real-World Skills: Practical knowledge that you can apply directly to your work.
- Flexible Learning: Study at your own pace, on your own schedule.
- Test Preparation: Specifically designed to help you pass the DP-700 and APL Skills assessments.
- Certification Opportunity: Earn a Microsoft certification and add a prestigious credential to your CV or resume.
Enroll Now to Embark on Your Data Engineering Journey!
Dive into the world of data engineering with PySpark, SQL, KQL, and Fabric. Don't miss this opportunity to enhance your skill set and take a significant step towards achieving Microsoft certification. With hands-on practice and comprehensive coverage of exam topics, you'll be well on your way to becoming a Fabric Data Engineer Associate. 🚀
Sign up today and open the door to new career opportunities!
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