Phillip Labry Sr. BI Engineer IT development for over 25 years Developer, DBA, BI Consultant Experience with Manufacturing, Telecom, Banking, Retail,
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1 Phillip Labry
2 Phillip Labry Sr. BI Engineer IT development for over 25 years Developer, DBA, BI Consultant Experience with Manufacturing, Telecom, Banking, Retail, Government, Energy, Insurance, Healthcare, Consulting
3 Brief history of Analysis Services What exactly is Analysis Services? Features How does SSAS fit into my current Architecture? Examples Next steps
4 1996 Microsoft creates a team to build an Online Analytical Processing Database (OLAP) Ships with SQL Server version 7 in 1998 as OLAP Services SQL 2000 ships with Analysis Services Data Mining is added SQL 2005 completely new architecture Introduction of the Unified Dimensional Model
5 Introduction of Tabular Mode in SQL 2012 In Memory column store New query language, Data Analysis Expressions(DAX) Ported to Excel and named Power Pivot Ported to the cloud as the analysis engine for Power BI
6 An online analytical processing and data mining tool used for BI applications. Generally consists of data collected from multiple systems to bring a single view of the health of a business.
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8 Operational/Worker
9 Tactical/Management Operational/Worker
10 Strategic/Executive Tactical/Management Operational/Worker
11 Strategic/Executive Tactical/Management Operational/Worker
12 Mission critical Detailed audit Operational Many fast single record queries Find discrete data quickly Complex Relational Model Management critical Big picture Analytical Fewer queries but huge numbers of records Evaluate all data quickly Simplified Multidimensional Model
13 No warehouse at all, only operational data A data warehouse with no Analysis Services Reporting Services reports Third party tools Spreadmarts
14 Basic Data Warehouse Design Custom Reports SSRS EDW
15 Basic Data Warehouse Design Custom Reports SSRS EDW Custom Reports SSRS
16 Basic Data Warehouse Design EDW Custom Reports SSRS Custom Reports SSRS Custom Reports SSRS
17 Basic Data Warehouse Design EDW Custom Reports SSRS Custom Reports SSRS Custom Reports SSRS Custom Reports SSRS Custom Reports SSRS Custom Reports SSRS Custom Reports SSRS Custom Reports SSRS
18 Transactional Databases Designed for Inserts/Updates Getting required report data may involve difficult/lengthy queries Usually returns results slower than a Data Warehouse Usually doesn t store history Reporting on this database can slow down the application it is used for
19 Why SSAS? Faster Reports Pre-aggregated data in SSAS much faster than relational queries Drag and Drop Reports Exposes data in easy to use drag and drop Excel reporting for users Centralize Logic Store common calculations in cube instead of user writing them on their own
20 Learning Curve Different Flavors of Analysis Services Power Pivot Power Pivot For SharePoint Scalability Analysis Service Tabular Analysis Service Multidimensional
21 Basic Terminology Cube A set of related measures and dimensions that is used to analyze data Measure Group Object that stores all the cube metrics. Usually a Fact table Measures Numeric field inside a Measure Group setup to aggregate Dimension A group of attributes that represent an area of interest related to the measures in the cube Attribute Equivalent to a column in a Data Warehouse dimension Member Equivalent to a distinct row or value in an attribute
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24 Can you export that to Excel?
25 Finance Sales EDW HR Marketing
26 Finance Sales EDW HR Marketing
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29 Source: Foodbeast
30 Default field sets for drill through Display information for fields and measures Image URL Geographic information
31 Role based security Hierarchies(Natural and Parent-Child) Actions Key Performance Indicators Calculated measures Conditional Formatting Perspectives Aggregations(OLAP only) Data mining/predictive analytics(olap only)
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34 Power Pivot File level only Tabular Row-level security using role-based permissions Multidimensional Dimension and Cell-level security using role-based permissions
35 Power Pivot Many different data sources. Limited to desktop resource size Tabular Many sources, larger data set than Power Pivot Can handle Data Warehouse Multidimensional Data Warehouse
36 Power Pivot DAX MDX Tabular DAX MDX Multidimensional MDX
37 Tabular Massive amounts of FAST RAM Fast Processors > 3GHZ Slow disk is OK Avoid VMs Multidimensional Fast Disk Massive amount of Storage Fast Processors
38
39 @philliplabry
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