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Learn MSBI , SSIS , SSRS And SSAS Step By Step

Learn MSBI , SSIS , SSRS And SSAS Step By Step

If you are thinking about mastering MSBI then you have reached the ultimate tutorial.


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 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?

Course Information

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

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

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

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Course Specifications

Find various Data Analyst courses including a diploma in data analytics

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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