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MSBI\nudemy MSBI\n# Learn MSBI step by step\n# Technologies: Sql server , Excel , SSIS , SSAS , Mdx , Olap cube , SSRS ,Pivot table\n# Description\nThis course will teach you MSBI step by step, helping you integrate with BI family tools, enhance your knowledge in data warehousing, star schema, design data modeling, SSIS, OLAP cubes, SSRS, T-SQL, and more.\n\n\n# Table Of content with evaluation\n\n- 1\tMSBI Fundamentals, Data Flow, Control Flow, ETL, Data Warehouse (SSIS)\t★★★★★\n- 1.1\tMSBI Installation (Upgrade)\t★★★★☆\n- 2\tConditional Split, Data Conversion and Error Handling (SSIS)\t★★★☆☆\n- 3\tFor Loop, Variables, Parameters and Debugging (SSIS)\t★★★★☆\n- 4\tPackaging and Deployment, File Component and Running SSIS Package\t★★★★★\n- 5\tDimensions, Measures, Star Schema, Snowflake, Shared Connection Management\t★★☆☆☆\n- 6\tSCD, Type 0, Type 1, OLEDB Command and Unicode Conversions (SSIS)\t★★★★☆\n- 7\tLookup, Data Conversion Optimization and Updating SSIS Package (SSIS)\t★★★☆☆\n- 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Semiadditive and Non-additive Measures in SSAS (SSAS)\t★★☆☆☆\n- 28\tBuffer Size Tuning (SSIS)\t★★★☆☆\n- 29\tHow to Implement Multithreading in SSIS? (SSIS)\t★★★★☆\n- 30\tProcessing SSAS Cube in Background (SSAS)\t★★★★★\n- 31\tExplain Asynchronous, Synchronous, Full, Semi \u0026 Non-blocking Component\t★★☆☆☆\n- 32\tSSRS Architecture and Deployment (SSRS)\t★★★☆☆\n- 33\tDQS (Data Quality Services) (SSIS)\t★★★★☆\n- 34\tExplain Tabular Model and Power Pivot (SSAS)\t★★☆☆☆\n- 35\tMDX (Multidimensional Expressions) Queries (SSAS)\t★★★★★\n- 36\tData Mining (Fundamentals and Time Series Algorithm) (SSAS)\t★★★☆☆\n- 37\tPage Split and Performance Issues with SSIS (SSIS)\t★★☆☆☆\n- 38\tAggregations in SSAS (SSAS)\t★★★★☆\n- 39\tROLAP, MOLAP and HOLAP (SSAS)\t★★★☆☆\n- 40\tInstrumentation using Data Taps (SSIS)\t★★☆☆☆\n- 41\tLookup Caching Modes and Cache Transform (SSAS)\t★★★★☆\n- 42\tPerspectives \u0026 Translations (SSAS)\t★★★☆☆\n- 43\tTabular Training 1: Installation, Xvelocity, Vertipaq, DAX, Creating\t★★★★★\n- =\u003e Total Rating (points)\t149\n =\u003e Average Rating (stars)\t3.39\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmednour2019%2Fmsbi","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmednour2019%2Fmsbi","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmednour2019%2Fmsbi/lists"}