DP-600T00: Microsoft Fabric Analytics Engineer Course in Australia
End-to-End Analytics Mastery
Hands-on experience with Dataflows, Spark, and Delta Lake
Learn to manage and optimise large-scale data systems
Learn from professionals with extensive Microsoft Fabric experience
Manage and optimise large-scale data systems effectively
Convenient and hassle-free payment plans
Overview
What you will master with us:
- End-to-end analytics skills using Microsoft Fabric for data ingestion, management, and security
- Hands-on training with tools like Dataflows Gen2, Apache Spark, and Delta Lake for efficient data processing
- Expertise in building and managing data warehouses, lakehouses, and optimising Power BI performance
- Handle large-scale data processing and implement real-time analytics
- Data integrity management, ensuring secure and accurate analytics solutions
- Master complex data solutions and data warehousing
- Gain advanced roles in data engineering, analytics, and architecture
Upcoming sessions
Curriculum
Introduction to end-to-end analytics using Microsoft Fabric
Get started with lakehouses in Microsoft Fabric
Use Apache Spark in Microsoft Fabric
Work with Delta Lake tables in Microsoft Fabric
Orchestrate processes and data movement with Microsoft Fabric
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Get started with data warehouses in Microsoft Fabric
Get started with Real-Time Intelligence in Microsoft Fabric
Get started with data science in Microsoft Fabric
Administer a Microsoft Fabric environment
Get started with data warehouses in Microsoft Fabric
Load data into a Microsoft Fabric data warehouse
Query a data warehouse in Microsoft Fabric
Monitor a Microsoft Fabric data warehouse
Secure a Microsoft Fabric data warehouse
Add measures to Power BI Desktop models
Design scalable semantic models
Optimize a model for performance in Power BI
Use tools to optimize Power BI performance
Create and manage Power BI assets
Enforce Power BI model security
Administer a Microsoft Fabric environment
Secure data access in Microsoft Fabric
Secure a Microsoft Fabric data warehouse
Govern data in Microsoft Fabric with Purview
Learning Outcomes
After completing this course, you will:
1
Understand end-to-end analytics with Microsoft Fabric
2
Develop skills in managing Microsoft Fabric environments
3
Prepare to use Dataflows Gen2 for efficient data ingestion
4
Provide expertise in Apache Spark and Microsoft Fabric notebooks
5
Learn to create and manage Data Factory pipelines
6
Gain proficiency in organising and optimising Fabric lakehouses
7
Ensure data security and scalability with Power BI optimisation
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Frequently asked questions
Our DP-600T00: Microsoft Fabric Analytics Engineer course in Australia trains in Microsoft Fabric, emphasising data ingestion, transformation, and management. Professionals will get hands-on experience working with tools like Apache Spark, Delta Lake, and Dataflows Gen2, readying them for high-level data engineering and analytics roles.
Microsoft Fabric is in huge demand, especially with organisations looking for end-to-end data analytics solutions. It's a single platform for business intelligence, data science, and data engineering, and its compatibility with other Microsoft offerings makes it attractive to businesses.
The DP-600 certification confirms your skill in implementing and designing analytics solutions with Microsoft Fabric. It is for professionals operating in data engineering, business intelligence, and analytics, specifically those utilising tools such as Apache Spark, Power BI, and lakehouse/warehouse architectures provided by Fabric.
Microsoft Fabric DP-600 and DP-700 certifications target varied roles and skill sets within the Fabric environment. DP-600, the Fabric Analytics Engineer Associate, deals with general Fabric concepts, Fabric analytics, modelling, and reporting, which is best for those already experienced in Azure and wanting to leverage those skills in Fabric. DP-700, the Fabric Data Engineer Associate, is more data engineering-focused, creating and optimising intricate data pipelines and architectures, and is for data engineers and solution architects.
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