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Learn MSBI , SSIS , SSRS and SSAS Step by Step

Features Includes:
  • Self-paced with Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App

Course Preview Video

Description

If you are thinking about mastering MSBI then you have reached the ultimate tutorial. Yes , i mean by it :-) This course teaches MSBI using 43 extensive labs as listed below. It goes in depth in to all the three important pillars of MSBI i.e. SSIS , SSAS and SSRS.

  • Lab 1: MSBI Fundamentals, Data flow, Control Flow, ETL, Dataware house (SSIS)
  • Lab 2: Conditional split, Data conversion and Error handling (SSIS)
  • Lab 3: For Loop, Variables, Parameters and Debugging (SSIS)
  • Lab 4: Packaging and Deployment, File component and running SSIS package as a task.(SSIS)
  • Lab 5: For dimension, measures, star schema, snow flake, shared connection managers & packages tasks (SSIS)
  • Lab 6: SCD, Type 0, Type 1, OLEDB Command and Unicode conversions.(SSIS)
  • Lab 7: Lookup, Data conversion optimization and updating SSIS package.(SSIS)
  • Lab 8: Sort, Merge and Merge Joins.(SSIS)
  • Lab 9: Creating SSAS Cube. (SSAS)
  • Lab 10: SSAS Time series and Excel display.(SSAS)
  • Lab 11: What are Transactions and CheckPoints in SSIS? (SSIS)
  • Lab 12: Simple SSRS report & implementing Matrix, Tabular, Parameters, Sorting, Expressions. (SSRS)
  • Lab 13: Using Data Profiling task to check data quality. (SSIS)
  • Lab 14: Hierarchical Dimensions. (SSAS)
  • Lab 15: WebServices and XML Task. (SSIS)
  • Lab 16: DrillDown and Subreports. (SSRS)
  • Lab 17: SSAS KPI (Key Performance Indicators). (SSAS)
  • Lab 18: Pivot, UnPivot and Aggregation. (SSIS)
  • Lab 19: SSAS Calculation.(SSAS)
  • Lab 20: SQL Execute Task. (SSIS)
  • Lab 21: Reference and Many-to-Many Relationship. (SSAS)
  • Lab 22: Script Task and Send Mail Task. (SSIS)
  • Lab 23: Script component(SSIS)
  • Lab 24: Bar chart, Gauge and Indicators.(SSRS)
  • Lab 25: Partitions in SSAS. (SSAS)
  • Lab 26: CDC(Changed Data Capture) in SSIS. (SSIS)
  • Lab 27: Additive, Semiadditive and non-additive measures in SSAS.(SSAS)
  • Lab 28: Buffer Size Tuning (SSIS)
  • Lab 29: How to implement Multithreading in SSIS?(SSIS)
  • Lab 30: Processing SSAS cube in background.(SSAS)
  • Lab 31: Explain Asynchronous, Synchronous, Full, Semi and Non blocking Components. (SSIS)
  • Lab 32: SSRS Architecture and Deployment (SSRS)
  • Lab 33: DQS( Data Quality Services ) (SSIS)
  • Lab 34: Explain Tabular Model and Power Pivot (SSAS).
  • Lab 35: MDX (Multidimensional Expressions) Queries.(SSAS)
  • Lab 36: Data Mining (Fundamentals and Time Series Algorithm).(SSAS)
  • Lab 37: Page Split and Performance issues with SSIS.(SSIS)
  • Lab 38: Aggregations in SSAS.(SSAS)
  • Lab 39: ROLAP, MOLAP and HOLAP.(SSAS)
  • Lab 40: Instrumentation using Data Taps (SSIS).
  • Lab 41: Lookup caching modes and Cache Transform. (SSAS)
  • Lab 42: Perspectives & Translations. (SSAS)
  • Lab 43: Tabular Training 1 :- Installation, Xvelocity, Vertipaq, DAX,Creating cubes,measures, KPI, Partition and Translation?

Who this course is for:

  • Developers would want to learn MSBI ( Microsoft SQL Server Business Intelligence)
  • Developers who want to learn SSIS , SSAS and SSRS
  • If you want to learn how to do ETL with SSIS
  • if you want to learn Cube making with SSAS
  • Want to learn SSRS Reporting

Basic knowledge
  • Basic knowledge of SQL Would Help
  • No past knowledge of BI or MSBI Needed

What will you learn
  • Should be able to work on professional MSBI projects. Design database using star schema and snow flake ,Create ETL using SSIS , Cubes using SSAS and display reports using SSRS
  • Learn SSIS Data flow , control flow, error handling, variables , for loop containers, SCD ,Sort , merge , merge joins ,look up , transactions and checkpoints
  • Displaying report in SSRS, Tabular reporting , Matrix reporting , report parameters , sorting , interactive sorting, expressions, running total , cascading drop downs and importance of RDL files
  • In SSAS you will learn MDX , tabular , hierarchical dimension , KPI , Calculated members , Aggregations , perspectives , translations , Many to many relationship , reference relationship and processing SSAS cubes at background
Course Curriculum
Number of Lectures: 45 Total Duration: 22:45:24
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