2. Contents
Goal
Background
SQL Server Integration Services
SQL Server Analysis Services
SQL Server Reporting Services
Multidimensional Expressions
Microsoft Office SharePoint Server
Performance Point Server
Excel Services
Additional Items
Crystal Reports
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3. Goal
To implement the Microsoft Business
Intelligence applications to provide a timely,
user friendly, and consistent data reporting
solution for the enterprise.
Available to travel
Available to work in the Greater Philadelphia
and in Florida.
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5. Code used in a view to clean the source
data to populate a reference table used to
process the source data into the cube.
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6. Example of a Data Flow Control
Transformation to extract data
from an Excel spreadsheet,
convert the data to SQL Server
compatible types, add a column by
concatenating two columns,
comparing the data to a reference
table, and use a conditional split
transformation to insert new
records or update existing ones to
an SQL Server database.
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7. This is an example of
a similar ETL with the
addition of an output to
a flat file of non-
existing records.
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8. This one demonstrates
how to group data,
populate, and update a
group table of Clients
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9. Control flow task required to
maintain the staging database.
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10. Control flow task to loop through a number of
files to extract data, and the use of a script task
to maintain state of variables between iterations.
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11. ETL package to extract data
from a flat file into an SQL DB
by Job, Employee, and Job
Time Sheet to insert new
records, update existing ones,
and to identify missing
employees, late and missing
jobs
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12. Each primary key was extracted and the data was checked to enforce referential
integrity. After a regular lookup element was used to check for exact matches to
allow most of the data to pass through, some columns were processed through a
fuzzy lookup for lookalike matches. Then the data was put back together with a
union all element. The data that failed the process was sent to flat files to be
analyzed and reprocess.
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17. Creation of calculated members to facilitate the
creation of reports and make the OLAP database
easier to use by users.
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18. KPI represents ‘key performance indicator’, an
object that enables end users of your cube to
quickly view the status of the most important
business metrics.
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19. If the cube is relatively large or if storage space is problematic it is a good
idea to partition the cube into physical storage files. Here each measure
group has been partition by year.
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20. Testing cube design and
functionality on the built-in
browser
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