Name: DP-600T00 Implement analytics solutions using Microsoft Fabric
Price: 2495.00 EUR
Availability: InStock
Rating: 4.6 (5878 reviews)

Duration:

32.00 hours

26.0 CPD hours

Overview:

This course covers how to prepare, enrich, and serve data for analysis by consumers such as data analysts, report developers, and AI agents. The course focuses on designing dimensional models and transforming data by using dataflows, notebooks, and T-SQL across lakehouses, warehouses, and eventhouses in Microsoft Fabric. The course also covers building and optimizing semantic models, managing the analytics development lifecycle, and enforcing security and governance across data assets.

Description:

This course covers how to prepare, enrich, and serve data for analysis by consumers such as data analysts, report developers, and AI agents. The course focuses on designing dimensional models and transforming data by using dataflows, notebooks, and T-SQL across lakehouses, warehouses, and eventhouses in Microsoft Fabric. The course also covers building and optimizing semantic models, managing the analytics development lifecycle, and enforcing security and governance across data assets.

Course Outline:

1 - Introduction to end-to-end analytics using Microsoft Fabric

Explore end-to-end analytics with Microsoft Fabric
Explore data teams and Microsoft Fabric
Enable and use Microsoft Fabric
Module assessment

2 - Discover and connect to data in OneLake

Understand OneLake
Browse and connect to data in OneLake
Discover streaming data in Real-Time hub

3 - Get started with lakehouses in Microsoft Fabric

Describe lakehouse features and capabilities
Ingest and transform data in a lakehouse
Query and analyze lakehouse data
Module assessment

4 - Get started with data warehouses in Microsoft Fabric

Understand data warehouses
Understand data warehouses in Fabric
Query and transform data
Model data in a warehouse
Secure and monitor a warehouse
Module assessment

5 - Get started with Real-Time Intelligence in Microsoft Fabric

What is real-time data analytics?
Real-Time Intelligence in Microsoft Fabric
Ingest and transform real-time data
Store and query real-time data
Visualize real-time data
Automate actions
Module assessment

6 - Choose data stores in Microsoft Fabric

Describe analytical data store options
Evaluate lakehouse capabilities
Evaluate warehouse capabilities
Evaluate eventhouse capabilities
Case study - Choose data stores for an integrated analytics solution
Module assessment

7 - Design dimensional models for analytics in Microsoft Fabric

Describe dimensional schema types
Design fact tables
Design dimension tables
Implement slowly changing dimensions

8 - Transform data using Dataflows Gen2 in Microsoft Fabric

Understand Dataflows Gen2
Transform data with Power Query
Optimize Dataflows Gen2 performance

9 - Transform data using notebooks in Microsoft Fabric

Describe notebooks in Fabric
Shape and clean data
Combine and aggregate data
Write and size Delta tables

10 - Transform data using T-SQL in Microsoft Fabric

Transform data with T-SQL queries
Create views for reusable logic
Build stored procedures
Implement dimensional tables

11 - Create DAX calculations in semantic models

Create calculated tables
Create calculated columns
Understand implicit measures
Create explicit measures
Use iterator functions

12 - Design semantic models for scale in Microsoft Fabric

Choose a storage mode
Design star schema for semantic models
Design scalable calculations
Configure settings for scale
Module assessment

13 - Optimize semantic model performance

Use Performance analyzer to diagnose issues
Optimize DAX calculations
Reduce cardinality for better performance
Implement aggregations
Troubleshoot common performance issues

14 - Enforce semantic model security

Implement row-level security
Apply object-level security
Test security and manage roles
Module assessment

15 - Manage the semantic model development lifecycle

Create reusable Power BI assets
Manage Power BI content in version control
Manage semantic models with the XMLA endpoint
Deploy content through stages
Maintain and monitor semantic models
Module assessment

16 - Prepare the semantic layer for AI in Microsoft Fabric

Understand what AI needs from your data
Design gold layers with AI in mind
Prepare a semantic model for AI
From semantic models to enterprise ontology
Validate AI readiness
Module assessment

17 - Understand Microsoft Fabric IQ fundamentals

Get started with Fabric IQ
Explore Microsoft Fabric IQ components
Understand the ontology modeling paradigm
Module assessment

18 - Create an ontology with Fabric IQ

Choose an ontology creation approach
Build an ontology manually
Generate an ontology from a Power BI semantic model
Connect an ontology to data
Configure ontology relationships
Preview the ontology
Module assessment

19 - Secure data access in Microsoft Fabric

Understand the Fabric security model
Configure workspace and item permissions
Apply granular permissions
Module assessment

20 - Secure a Microsoft Fabric data warehouse

Explore dynamic data masking
Implement row-level security
Implement column-level security
Configure SQL granular permissions using T-SQL
Module assessment

21 - Govern data in Microsoft Fabric with Purview

Govern data in Microsoft Fabric
Why use Microsoft Purview with Microsoft Fabric?
Govern data in the Microsoft Purview hub
Module assessment

22 - Govern analytics data in Microsoft Fabric

Classify and protect data in Microsoft Fabric
Endorse and document data assets
Govern data for AI consumption

, Ingest Data with Dataflows Gen2 in Microsoft Fabric, Ingest data with Spark and Microsoft Fabric notebooks, Use Data Factory pipelines in Microsoft Fabric, Get started with lakehouses in Microsoft Fabric, Organize a Fabric lakehouse using medallion architecture design, Use Apache Spark in Microsoft Fabric, Work with Delta Lake tables in Microsoft Fabric, Get started with data warehouses in Microsoft Fabric, Load data into a Microsoft Fabric data warehouse, Monitor a Microsoft Fabric data warehouse, Understand scalability in Power BI, Create Power BI model relationships, Use tools to optimize Power BI performance, Enforce Power BI model security, Introduction to end-to-end analytics using Microsoft Fabric, Get started with Real-Time Intelligence in Microsoft Fabric, Get started with data science in Microsoft Fabric, Get started with Data Activator in Microsoft Fabric, Administer Microsoft Fabric, Query a data warehouse in Microsoft Fabric, Secure a Microsoft Fabric data warehouse, Get started with Microsoft Fabric, Implement a Lakehouse with Microsoft Fabric, Ingest data with Microsoft Fabric, Implement a data warehouse with Microsoft Fabric, Work with semantic models in Microsoft Fabric, Administer and govern Microsoft Fabric

What You'll Learn:

Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data sources, configure authentication, and optimize data intake for Fabric lakehousesLearn techniques to load data into Fabric lakehouses as files or Delta tablesUnderstand and utilize Fabric's pipeline capabilities, including the Copy Data activity and pre-built templates, to orchestrate data flowsDesign and create Fabric lakehouses, ingest data efficiently in various formats, and query data using SQLApply the principles of the medallion architecture within the Fabric environment for effective data managementAnalyze data stored in Fabric lakehouses directly from Power BI using DirectLake capabilitiesConfigure and utilize Spark within Fabric, choose suitable scenarios for Spark notebooks and jobs, and manipulate data through Spark data framesUnderstand and manage Delta Lake and delta tables in Fabric using Spark for efficient data management and transformationsDifferentiate data warehouses from lakehouses, work with data warehouses in Fabric, implement data loading strategies, and build pipelines using T-SQL., Course ObjectivesImplement Dataflow solutions for data ingestion and transformation in Fabric, including Spark integrationAccess external data so

Available Delivery Options for DP-600T00 Implement analytics solutions using Microsoft Fabric

Live Instructor Led Classroom Online (Live Online)
Traditional Instructor Led Classroom training (TILT/ILT)
Delivery at your offices in United Kingdom
Private dedicated course for your staff

What certification does DP-600T00 Implement analytics solutions using Microsoft Fabric prepare you for?

The DP-600T00 Implement analytics solutions using Microsoft Fabric course helps prepare you for the Microsoft Certified: Fabric Analytics Engineer Associate certification path.

Which exam does DP-600T00 Implement analytics solutions using Microsoft Fabric prepare you for?

The DP-600T00 Implement analytics solutions using Microsoft Fabric prepares you for the 'DP-600' official exam. You can take this exam at any exam center across United Kingdom including London, Manchester, Birmingham, Edinburgh or live online wherever you are.

How many CPD hours does DP-600T00 Implement analytics solutions using Microsoft Fabric provide?

The 4 day DP-600T00 Implement analytics solutions using Microsoft Fabric course gives you up to 26.0 CPD hours/structured learning hours.

Who is the correct audience for DP-600T00 Implement analytics solutions using Microsoft Fabric?

This course is intended for data professionals with experience in data modeling, transformation, and analytics. Learners should have prior experience translating business requirements into analytical measures by using Structured Query Language (SQL) or Data Analysis Expressions (DAX). Experience building semantic models and reports in Power BI is recommended. Familiarity with Kusto Query Language (KQL) and Python is also helpful but not required.

Do you provide training for DP-600T00 Implement analytics solutions using Microsoft Fabric?

Yes, we provide corporate training, dedicated training and closed classes for DP-600T00 Implement analytics solutions using Microsoft Fabric. This can take place anywhere in United Kingdom including London, Manchester, Birmingham, Edinburgh or live online.

What is the duration of DP-600T00 Implement analytics solutions using Microsoft Fabric?

The DP-600T00 Implement analytics solutions using Microsoft Fabric training takes place over 4 day(s), with each day lasting approximately 32.00 hours including breaks.

What other terms do people search for?

Popular related searches include: DP-600T00: Microsoft Fabric Analytics Engineer, Microsoft, vILT, DP-600T00

Why are Nexus Human the best provider for DP-600T00 Implement analytics solutions using Microsoft Fabric?

Nexus Human are recognised as one of the best training companies. Our trainers have won awards including Small Firms Best Trainer, national training partner of the year for Ireland, and global top 30 instructor awards in 2012, 2019 and 2021.

Is there a discount code for DP-600T00 Implement analytics solutions using Microsoft Fabric?

Yes, the discount code PENPAL5 is currently available for DP-600T00 Implement analytics solutions using Microsoft Fabric training. Only one discount code can be used per booking.

DP-600T00 Implement analytics solutions using Microsoft Fabric