http://www.it-exams.fr/70-467.htm Le service après-vente est notre préoccupation principale. Nous cherchons à satisfaire tous les clients. En respectant le principe « le client d’abord » , nous faisons en sorte que tous les acheteurs réussissent à l’examen( Microsoft 70-467 (TS:Designing Business Intelligence Solutions with Microsoft SQL Server 2012) ). Garantir la confidentialité des données personnelles des clients fait fondamentalement partie de notre politique. Nous veillons à protéger strictement les informations personnelles des clients et à ne pas révéler, modifier ou divulguer les dossiers d’inscription et les informations non publiées sans autorisation des clients.
UNIT - 1 Part 2: Data Warehousing and Data MiningNandakumar P
DBMS Schemas for Decision Support , Star Schema, Snowflake Schema, Fact Constellation Schema, Schema Definition, Data extraction, clean up and transformation tools.
What is a Data Warehouse and How Do I Test It?RTTS
ETL Testing: A primer for Testers on Data Warehouses, ETL, Business Intelligence and how to test them.
Are you hearing and reading about Big Data, Enterprise Data Warehouses (EDW), the ETL Process and Business Intelligence (BI)? The software markets for EDW and BI are quickly approaching $22 billion, according to Gartner, and Big Data is growing at an exponential pace.
Are you being tasked to test these environments or would you like to learn about them and be prepared for when you are asked to test them?
RTTS, the Software Quality Experts, provided this groundbreaking webinar, based upon our many years of experience in providing software quality solutions for more than 400 companies.
You will learn the answer to the following questions:
• What is Big Data and what does it mean to me?
• What are the business reasons for a building a Data Warehouse and for using Business Intelligence software?
• How do Data Warehouses, Business Intelligence tools and ETL work from a technical perspective?
• Who are the primary players in this software space?
• How do I test these environments?
• What tools should I use?
This slide deck is geared towards:
QA Testers
Data Architects
Business Analysts
ETL Developers
Operations Teams
Project Managers
...and anyone else who is (a) new to the EDW space, (b) wants to be educated in the business and technical sides and (c) wants to understand how to test them.
http://www.it-exams.fr/70-467.htm Le service après-vente est notre préoccupation principale. Nous cherchons à satisfaire tous les clients. En respectant le principe « le client d’abord » , nous faisons en sorte que tous les acheteurs réussissent à l’examen( Microsoft 70-467 (TS:Designing Business Intelligence Solutions with Microsoft SQL Server 2012) ). Garantir la confidentialité des données personnelles des clients fait fondamentalement partie de notre politique. Nous veillons à protéger strictement les informations personnelles des clients et à ne pas révéler, modifier ou divulguer les dossiers d’inscription et les informations non publiées sans autorisation des clients.
UNIT - 1 Part 2: Data Warehousing and Data MiningNandakumar P
DBMS Schemas for Decision Support , Star Schema, Snowflake Schema, Fact Constellation Schema, Schema Definition, Data extraction, clean up and transformation tools.
What is a Data Warehouse and How Do I Test It?RTTS
ETL Testing: A primer for Testers on Data Warehouses, ETL, Business Intelligence and how to test them.
Are you hearing and reading about Big Data, Enterprise Data Warehouses (EDW), the ETL Process and Business Intelligence (BI)? The software markets for EDW and BI are quickly approaching $22 billion, according to Gartner, and Big Data is growing at an exponential pace.
Are you being tasked to test these environments or would you like to learn about them and be prepared for when you are asked to test them?
RTTS, the Software Quality Experts, provided this groundbreaking webinar, based upon our many years of experience in providing software quality solutions for more than 400 companies.
You will learn the answer to the following questions:
• What is Big Data and what does it mean to me?
• What are the business reasons for a building a Data Warehouse and for using Business Intelligence software?
• How do Data Warehouses, Business Intelligence tools and ETL work from a technical perspective?
• Who are the primary players in this software space?
• How do I test these environments?
• What tools should I use?
This slide deck is geared towards:
QA Testers
Data Architects
Business Analysts
ETL Developers
Operations Teams
Project Managers
...and anyone else who is (a) new to the EDW space, (b) wants to be educated in the business and technical sides and (c) wants to understand how to test them.
This slide was used when I was invited to share information about How to extend Exchange Server capabilities by using SharePoint Server 2013 at Exchange Day 2014.
Exchange Day 2013 was organized by MVPSkill.com with greatest support from Microsoft Thailand.
Office365 Preview (Collaboration platform over CLOUD at DPU 3 feb2013Narapat Patcharapornpun
I use this slide desk to introduce Office 365 @ DPU which has 400+ audience.
however there is a VDO (i copy from offical website) embedded in this slide you can use this link to see it in action via my skyDrive
http://sdrv.ms/12kvGTl
This will talking about framework which i wanna use to study about the relationship among Culture, Leadership, ICT and Corporate efficiency.
PS. Just upload First draft.!!! actually there is another version which totally change from draft.
3. SET_DB
SET_DW
M O L A PL
T
E
Time
Aggregate
Measure
Dimension
Overview
Normalized
Relational
Database
STAR
Schema
Database
4. Database Diagram - Overview
SET_DB
is OLTP database for Stock analysis solution
which designed by using Normalized
Relational database methodology.
Key, Relationship and Constraints also applied
5. Database Diagram – Stock
SET_DB
This is an overview of all tables which create
for store stock price data and company’s basic
information.
6. Database Diagram - Finance
SET_DB
This is an overview of all tables which create
for store Financial Statements data and
company’s basic information.
7. Data Warehouse Diagram - Overview
SET_DW
is database which support OLAP for Stock
analysis solution. It’s designed by using STAR
schema. There are 4 dimensions and 3 fact
table, all data will populate by using ETL
process, except Date dimension.
Date dimension was pre-populated from
SSAS then modified to follow Kimball
concept.
8. DW Diagram – Stock Price History
Stock Price History
is group of fact table and dimension to
support various historical data of stock prices
Symbol dimension is using SCDType I to
maintain the data. It was create from de-
normalization technique to increase
understandability and reduce the complexity
of joining table.
Date dimension was pre-populated from
SSAS then modified to follow Kimball
concept.
9. DW Diagram – Dividend: SCD Type2
Benefit (Dividend)
is group of fact table and dimension that
support tracking of the benefit of stock and it
also support TrialTest of SCD type II , how to
manage, update etc.
Dividend dimension was define as a SCDType
II dimension. Each change in attribute will
create another record.
Date dimension was pre-populated from
SSAS then modified to follow Kimball
concept.
10. DW Diagram – Financial Ratio
Financial Ratio
is a group of fact table and dimension that
support value which use for calculate
Financial ratio on the fly by using calculate
filed which done byOLAPTools
Date dimension was pre-populated from
SSAS then modified to follow Kimball
concept.
12. ETL – Dim_DividenedType
Dimension “Dim_DividenedType”
was designed using SCDType I
Any update on DividendType Description
filed system will update on this dimension
using replace method
13. ETL – Dim_Symbol
Dimension “Dim_Symbol”
was designed using SCDType I
Any update on filed listed below system will
update on this dimension using replace
method
• Company Name
• IndustrialCategory
• IndustrialGroup
• StockType Description
14. ETL – Dim_Dividened
Dimension “Dim_Dividened”
was designed using SCDType II
There are special column for
Effective Date and Expired Date
to keep track when record start use
and when its expired
18. Cube Design - SSAS
Measures
There are 3 groups of measures to answer analysis question, it also have calculation
measures.
Dimension
There are 4 dimensions which have both of Category and Hierarchy
19. Stock Analysis Dashboard - Demo
Excel 2010 - Benefit
Slicer in Excel 2010 help to create global
filters which able to connect to all pivot table
which created in same data source
Pivot Chart able to do drill down/ Roll up the
data in day/week/month/quarter selected
ExcelVBA to create Rich UI to let use interact
with chart/pivot source by select option to
display