{"id":2168121,"date":"2026-04-08T04:23:18","date_gmt":"2026-04-08T02:23:18","guid":{"rendered":"https:\/\/academy.asseco.pl\/training\/default-layout-itil-4-foundation\/"},"modified":"2026-04-08T04:23:19","modified_gmt":"2026-04-08T02:23:19","slug":"microsoft-fabric-analytics-engineer","status":"publish","type":"training","link":"https:\/\/academy.asseco.pl\/en\/training\/microsoft-fabric-analytics-engineer\/","title":{"rendered":"Microsoft Fabric Analytics Engineer"},"content":{"rendered":"
\n
\n
\n
\n
\n
\n
\n
\n
Asseco Academy<\/a><\/span><\/span><\/div>\n <\/div>\n<\/div> <\/div>\n
\n

Training DP-600T00<\/p>\n

Microsoft Fabric Analytics Engineer<\/h2>
\n \n<\/div> <\/div>\n
\n
\n Rozwi\u0105zania IT<\/a>\n Microsoft<\/a>\n In\u017cynieria danych<\/a>\n <\/div>\n <\/div>\n <\/div>\n
\n

Accreditation<\/p>\n

<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n
\n
\n
\n
\n

Training<\/p>\n\n

Price of training from <\/strong> PLN\u00a03,150  net<\/sup><\/strong><\/p>\n\n

Lowest price in the last 30 days: PLN\u00a03,150  net<\/sup><\/strong><\/p>\n \n

Language: <\/strong>polski<\/p>\n

*the price depends, among others on the form of training and the date<\/p>\n

\n
Sign up<\/div>\n
Download PDF<\/div>\n <\/div>\n <\/div>\n
\n\n

Additional products<\/p>\n

No additional books have been specified for this training.<\/p>\n

Exam price <\/strong>from PLN\u00a00.01   net<\/sup><\/p>\n \n \n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n

\n
\n
\n
\n
    \n
  • Training description<\/li>\n
  • Scope<\/li>\n
  • Exam<\/li>\n <\/ul>\n <\/div>\n
    \n
    \n
    \n
    \n

    Training description<\/h2> <\/div>\n

    <\/p>\n

    This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets. This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.<\/p>\n

    Audience Profile<\/strong>
    The primary audience for this course is data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.<\/p>\n\n <\/div>\n

    \n
    \n

    Scope<\/h2> <\/div>\n

    <\/p>\n

    Get started with Microsoft Fabric<\/strong><\/div>\n
      \n
    • Introduction to end-to-end analytics using Microsoft Fabric\n
        \n
      • Introduction<\/li>\n
      • Explore end-to-end analytics with Microsoft Fabric<\/li>\n
      • Data teams and Microsoft Fabric<\/li>\n
      • Enable and use Microsoft Fabric<\/li>\n<\/ul>\n<\/li>\n
      • Get started with lakehouses in Microsoft Fabric\n
          \n
        • Explore the Microsoft Fabric Lakehouse<\/li>\n
        • Work with Microsoft Fabric Lakehouses<\/li>\n
        • Explore and transform data in a lakehouse<\/li>\n
        • Exercise – Create and ingest data with a Microsoft Fabric Lakehouse<\/li>\n<\/ul>\n<\/li>\n
        • Use Apache Spark in Microsoft Fabric\n
            \n
          • Prepare to use Apache Spark<\/li>\n
          • Run Spark code<\/li>\n
          • Connect to data sources and ingest data<\/li>\n
          • Work with data in a Spark dataframe<\/li>\n
          • Work with data using Spark SQL<\/li>\n
          • Visualize data in a Spark notebook<\/li>\n
          • Exercise – Analyze data with Apache Spark<\/li>\n<\/ul>\n<\/li>\n
          • Work with Delta Lake tables in Microsoft Fabric\n
              \n
            • Understand Delta Lake<\/li>\n
            • Create delta tables<\/li>\n
            • Work with delta tables in Spark<\/li>\n
            • Use delta tables with streaming data<\/li>\n
            • Exercise – Use delta tables in Apache Spark<\/li>\n<\/ul>\n<\/li>\n
            • Use Data Factory pipelines in Microsoft Fabric\n
                \n
              • Understand pipelines<\/li>\n
              • Use the Copy Data activity<\/li>\n
              • Use pipeline templates<\/li>\n
              • Run and monitor pipelines<\/li>\n
              • Exercise – Ingest data with a pipeline<\/li>\n<\/ul>\n<\/li>\n
              • Ingest Data with Dataflows Gen2 in Microsoft Fabric\n
                  \n
                • Understand Dataflows Gen2 in Microsoft Fabric<\/li>\n
                • Explore Dataflows Gen2 in Microsoft Fabric<\/li>\n
                • Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric<\/li>\n
                • Exercise – Create and use a Dataflow Gen2 in Microsoft Fabric<\/li>\n<\/ul>\n<\/li>\n
                • Get started with data warehouses in Microsoft Fabric\n
                    \n
                  • Understand data warehouse fundamentals<\/li>\n
                  • Understand data warehouses in Fabric<\/li>\n
                  • Query and transform data<\/li>\n
                  • Prepare data for analysis and reporting<\/li>\n
                  • Secure and monitor your data warehouse<\/li>\n
                  • Exercise – Analyze data in a data warehouse<\/li>\n<\/ul>\n<\/li>\n
                  • Get started with Real-Time Intelligence in Microsoft Fabric\n
                      \n
                    • Describe Microsoft Fabric Real-Time Intelligence?<\/li>\n
                    • Understand KQL database and tables<\/li>\n
                    • Describe Microsoft Fabric Real-Time hub<\/li>\n
                    • Write queries with KQL<\/li>\n
                    • Exercise: Explore Real-Time Intelligence in Fabric<\/li>\n<\/ul>\n<\/li>\n
                    • Get started with data science in Microsoft Fabric\n
                        \n
                      • Understand the data science process<\/li>\n
                      • Explore and process data with Microsoft Fabric<\/li>\n
                      • Train and score models with Microsoft Fabric<\/li>\n
                      • Exercise – Explore data science in Microsoft Fabric<\/li>\n<\/ul>\n<\/li>\n
                      • Get started with Data Activator in Microsoft Fabric\n
                          \n
                        • Understand Data Activator<\/li>\n
                        • Get started with Data Activator<\/li>\n
                        • Understand triggers, conditions and actions in Data Activator<\/li>\n
                        • Get data from Power BI Reports and EventStreams with Data Activator<\/li>\n
                        • Assign data in Data Activator<\/li>\n
                        • Create triggers in Data Activator<\/li>\n
                        • Exercise – Use Data Activator in Fabric<\/li>\n<\/ul>\n<\/li>\n
                        • Administer a Microsoft Fabric environment\n
                            \n
                          • Understand the Fabric Architecture<\/li>\n
                          • Understand the Fabric administrator role<\/li>\n
                          • Manage Fabric security<\/li>\n
                          • Govern data in Fabric<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
                            Implement a Lakehouse with Microsoft Fabric<\/strong><\/div>\n
                            \n
                              \n
                            • Introduction to end-to-end analytics using Microsoft Fabric\n
                                \n
                              • Introduction<\/li>\n
                              • Explore end-to-end analytics with Microsoft Fabric<\/li>\n
                              • Data teams and Microsoft Fabric<\/li>\n
                              • Enable and use Microsoft Fabric<\/li>\n<\/ul>\n<\/li>\n
                              • Get started with lakehouses in Microsoft Fabric\n
                                  \n
                                • Explore the Microsoft Fabric Lakehouse<\/li>\n
                                • Work with Microsoft Fabric Lakehouses<\/li>\n
                                • Explore and transform data in a lakehouse<\/li>\n
                                • Exercise – Create and ingest data with a Microsoft Fabric Lakehouse<\/li>\n<\/ul>\n<\/li>\n
                                • Use Apache Spark in Microsoft Fabric\n
                                    \n
                                  • Prepare to use Apache Spark<\/li>\n
                                  • Run Spark code<\/li>\n
                                  • Connect to data sources and ingest data<\/li>\n
                                  • Work with data in a Spark dataframe<\/li>\n
                                  • Work with data using Spark SQL<\/li>\n
                                  • Visualize data in a Spark notebook<\/li>\n
                                  • Exercise – Analyze data with Apache Spark<\/li>\n<\/ul>\n<\/li>\n
                                  • Work with Delta Lake tables in Microsoft Fabric\n
                                      \n
                                    • Understand Delta Lake<\/li>\n
                                    • Create delta tables<\/li>\n
                                    • Work with delta tables in Spark<\/li>\n
                                    • Use delta tables with streaming data<\/li>\n
                                    • Exercise – Use delta tables in Apache Spark<\/li>\n<\/ul>\n<\/li>\n
                                    • Ingest Data with Dataflows Gen2 in Microsoft Fabric\n
                                        \n
                                      • Understand Dataflows Gen2 in Microsoft Fabric<\/li>\n
                                      • Explore Dataflows Gen2 in Microsoft Fabric<\/li>\n
                                      • Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric<\/li>\n
                                      • Exercise – Create and use a Dataflow Gen2 in Microsoft Fabric<\/li>\n<\/ul>\n<\/li>\n
                                      • Use Data Factory pipelines in Microsoft Fabric\n
                                          \n
                                        • Understand pipelines<\/li>\n
                                        • Use the Copy Data activity<\/li>\n
                                        • Use pipeline templates<\/li>\n
                                        • Run and monitor pipelines<\/li>\n
                                        • Exercise – Ingest data with a pipeline<\/li>\n<\/ul>\n<\/li>\n
                                        • Organize a Fabric lakehouse using medallion architecture design\n
                                            \n
                                          • Describe medallion architecture<\/li>\n
                                          • Implement a medallion architecture in Fabric<\/li>\n
                                          • Query and report on data in your Fabric lakehouse<\/li>\n
                                          • Considerations for managing your lakehouse<\/li>\n
                                          • Exercise – Organize your Fabric lakehouse using a medallion architecture<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                            Ingest data with Microsoft Fabric<\/strong><\/p>\n

                                              \n
                                            • Ingest Data with Dataflows Gen2 in Microsoft Fabric\n
                                                \n
                                              • Understand Dataflows Gen2 in Microsoft Fabric<\/li>\n
                                              • Explore Dataflows Gen2 in Microsoft Fabric<\/li>\n
                                              • Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric<\/li>\n
                                              • Exercise – Create and use a Dataflow Gen2 in Microsoft Fabric<\/li>\n<\/ul>\n<\/li>\n
                                              • Ingest data with Spark and Microsoft Fabric notebooks\n
                                                  \n
                                                • Connect to data with Spark<\/li>\n
                                                • Write data into a lakehouse<\/li>\n
                                                • Consider uses for ingested data<\/li>\n
                                                • Exercise – Ingest data with Spark and Microsoft Fabric notebooks<\/li>\n<\/ul>\n<\/li>\n
                                                • Use Data Factory pipelines in Microsoft Fabric\n
                                                    \n
                                                  • Understand pipelines<\/li>\n
                                                  • Use the Copy Data activity<\/li>\n
                                                  • Use pipeline templates<\/li>\n
                                                  • Run and monitor pipelines<\/li>\n
                                                  • Exercise – Ingest data with a pipeline<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                    Implement a data warehouse with Microsoft Fabric<\/strong><\/p>\n

                                                      \n
                                                    • Get started with data warehouses in Microsoft Fabric\n
                                                        \n
                                                      • Understand data warehouse fundamentals<\/li>\n
                                                      • Understand data warehouses in Fabric<\/li>\n
                                                      • Query and transform data<\/li>\n
                                                      • Prepare data for analysis and reporting<\/li>\n
                                                      • Secure and monitor your data warehouse<\/li>\n
                                                      • Exercise – Analyze data in a data warehouse<\/li>\n<\/ul>\n<\/li>\n
                                                      • Load data into a Microsoft Fabric data warehouse\n
                                                          \n
                                                        • Explore data load strategies<\/li>\n
                                                        • Use data pipelines to load a warehouse<\/li>\n
                                                        • Load data using T-SQL<\/li>\n
                                                        • Load and transform data with Dataflow Gen2<\/li>\n
                                                        • Exercise: Load data into a warehouse in Microsoft Fabric<\/li>\n<\/ul>\n<\/li>\n
                                                        • Query a data warehouse in Microsoft Fabric\n
                                                            \n
                                                          • Query data<\/li>\n
                                                          • Use the SQL query editor<\/li>\n
                                                          • Explore the visual query editor<\/li>\n
                                                          • Use client tools to query a warehouse<\/li>\n
                                                          • Exercise: Query a data warehouse in Microsoft Fabric<\/li>\n<\/ul>\n<\/li>\n
                                                          • Monitor a Microsoft Fabric data warehouse\n
                                                              \n
                                                            • Monitor capacity metrics<\/li>\n
                                                            • Monitor current activity<\/li>\n
                                                            • Monitor queries<\/li>\n
                                                            • Exercise – Monitor a data warehouse in Microsoft Fabric<\/li>\n<\/ul>\n<\/li>\n
                                                            • Secure a Microsoft Fabric data warehouse\n
                                                                \n
                                                              • Explore dynamic data masking<\/li>\n
                                                              • Implement row-level security<\/li>\n
                                                              • Implement column-level security<\/li>\n
                                                              • Configure SQL granular permissions using T-SQL<\/li>\n
                                                              • Exercise: Secure a warehouse in Microsoft Fabric<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

                                                                Work with semantic models in Microsoft Fabric<\/strong><\/p>\n

                                                                  \n
                                                                • Understand scalability in Power BI\n
                                                                    \n
                                                                  • Describe the significance of scalable models<\/li>\n
                                                                  • Implement Power BI data modeling best practices<\/li>\n
                                                                  • Configure large datasets<\/li>\n<\/ul>\n<\/li>\n
                                                                  • Create Power BI model relationships\n
                                                                      \n
                                                                    • Understand model relationships<\/li>\n
                                                                    • Set up relationships<\/li>\n
                                                                    • Use DAX relationship functions<\/li>\n
                                                                    • Understand relationship evaluation<\/li>\n
                                                                    • Exercise: Work with model relationships<\/li>\n<\/ul>\n<\/li>\n
                                                                    • Use tools to optimize Power BI performance\n
                                                                        \n
                                                                      • Use Performance analyzer<\/li>\n
                                                                      • Troubleshoot DAX performance by using DAX Studio<\/li>\n
                                                                      • Optimize a data model by using Best Practice Analyzer<\/li>\n
                                                                      • Exercise: Use tools to optimize Power BI performance<\/li>\n<\/ul>\n<\/li>\n
                                                                      • Enforce Power BI model security\n
                                                                          \n
                                                                        • Restrict access to Power BI model data<\/li>\n
                                                                        • Restrict access to Power BI model objects<\/li>\n
                                                                        • Apply good modeling practices<\/li>\n
                                                                        • Exercise: Enforce model security<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div>\n\n <\/div>\n
                                                                          \n
                                                                          \n

                                                                          Exam<\/h2> <\/div>\n
                                                                          \n
                                                                          \n
                                                                            \n
                                                                          • \n
                                                                            Microsoft ARB Certification Exam Replay Voucher<\/div>\n
                                                                            <\/p>\n

                                                                            Pearson\/VUE MCP Exam Voucher<\/strong><\/p>\n

                                                                            Voucher na egzamin Microsoft (dwa podejścia<\/strong><\/span>).<\/p>\n

                                                                            Voucher na egzamin, do wykorzystania w centrum egzaminacyjnym Pearson VUE (w tym na egzaminach on-line), może być wykorzystany przez 1 rok od zakupu.<\/p>\n<\/div>\n<\/li>\n

                                                                          • \n
                                                                            Microsoft Practice Test Voucher<\/div>\n
                                                                            <\/p>\n

                                                                            Voucher na dostęp do oficjalnych testów przygotowujących do egzaminu Microsoft (opracowanych przez MeasureUp).<\/p>\n

                                                                            Voucher powinien być aktywowany na stronie marketplace.measureup.com w przeciągu 6 miesięcy od daty zakupu. Dostęp online do testów jest ważny przez 30 dni od aktywacji.<\/p>\n<\/div>\n<\/li>\n

                                                                          • \n
                                                                            Pearson \/ VUE MCP Exam Voucher<\/div>\n
                                                                            <\/p>\n

                                                                            Pearson\/VUE MCP Exam Voucher<\/strong><\/p>\n

                                                                            Voucher na egzamin Microsoft (jedno podejście).<\/p>\n

                                                                            Voucher na egzamin, do wykorzystania w centrum egzaminacyjnym Pearson VUE (w tym na egzaminach on-line), może być wykorzystany przez min. 6 miesięcy od zakupu.<\/p>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/section>\n\n\n\n

                                                                            \n
                                                                            <\/div>\n<\/div>\n
                                                                            \n
                                                                            \n
                                                                            \n

                                                                            Training schedule<\/h2> <\/div>\n
                                                                            \n
                                                                            \n
                                                                            \n
                                                                            \n \n

                                                                            Remote<\/p>\n

                                                                            … if you value the opportunity to learn with a trainer and other participants, from anywhere without having to commute.<\/p>\n <\/div>\n <\/div>\n

                                                                            \n
                                                                            \n \n

                                                                            Stationary<\/p>\n

                                                                            … if you want to learn while sitting in the same room with the trainer and other participants.<\/p>\n <\/div>\n <\/div>\n

                                                                            \n
                                                                            \n \n

                                                                            Online<\/p>\n

                                                                            … if you want to learn from materials available via the interenet anywhere at any time<\/p>\n <\/div>\n <\/div>\n <\/div>\n

                                                                            \n
                                                                            \n
                                                                            <\/div>\n<\/div>
                                                                            \n
                                                                            \n
                                                                            \n
                                                                            \n

                                                                            Filters:<\/p>\n <\/div>\n

                                                                            \n