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By: LujainAlobaid, AseelDaylami and Heba Abed.
Data Warehouses
Data warehousing in our 21st century
 Started in the early 1970s when data marts first appeared.
 Then gradually in the 1980s, Bill Inmon the father of data
warehousing came up with his improvements and creations.
 Inmon came up with data warehousing because of the rapid
evolution in the use of data,.
Definitions
1. Subject–oriented means the capability of a data
warehouse to analyze particular matter area.
2. Integrated parts are concerned with the inserted
data that come from several different sources of
data.
3. Time-variant process, it mainly keeps track of
historical data in a data warehouse.
4. Non-volatile; which means that when data goes
into the data warehouse it cannot be changed, so
as for historical data.
the most popular definition came from the data warehouse god father
Inmone. “A data warehouse is a subject-oriented, integrated, time-
variant and non-volatile collection of data in support of
management's decision making process.”
Benefits of data warehouses
 Impacted businesses in general and the information systems industry in
precise.
 one of the key benefits of data warehousing is to enhance the business
intelligent tools (BI) by storing data from a wide mix of sources.
 It makes a business more capable of handling & processing its information.
 Data warehouses saves its users time and effort.
in our opinion we find the “historical intelligence” the most important benefit
derived from data warehousing.
The evolution of data warehouses in
organizations through the years
 When we go back to the history of databases, we realize that if it
actually stayed in the level it started, many of today’s businesses
won’t be in their current standing positions.
 The world evolves simultaneously with its data and information.
 Data is the core value of any organization.
 Data warehouses showed us through the years:
1. how organizations and markets grow,
2. how performances get coordinated consistently,
3. how standards get improved.
4. increased the competition between businesses.
Data warehouses enabled advantages that weren’t existed before such
as scalability, facility, flexibility and efficiency
The architecture of data warehouses
Data warehouse architecture is the logic and physical base of an actual data
warehouse. Just as its definition simply it’s an architectural base for building a
data warehouse.
Three types of architectures:
Data warehouse architecture must be driven by the business requirements
to conform to organizational technological demands so that it eventually
nails its goals.
Basic DWH
Architerture
DWH
architerture
with staging
area and
data marts
DWH
architerture
with a
staging
area
#Top_3 Data Warehouse Providers
Teradata is a giant
American corporation that
provides data platforms,
services and solutions for
more than 2,45o companies
from different industries
worldwide.
#1
the technology and
consulting multinational
American corporation.
IBM provides superior big
data services. With the
wide range of varieties of
data warehousing and
analytics IBM surely
ensures the right solution
for its clients.
#2 The German entity is one
of the world’s largest in the
software industry. SAP’s
best-known software
products are the enterprise
resource planning
application system and the
enterprise data warehouse
product.
#3
Illustration
 Facebook took off in February 4, 2004.
 Facebook was the first company to join the market with a share price of
$38 apiece.
 Earlier this year, 2014, Facebook’s statistics announced that there are more
than 1.3 billion active users monthly on Facebook.
 Users data is growing way faster than what we would imagine.
 Facebook uses several open source technologies such as: Scribe, Hadoop,
Hive, data mining and data warehousing.
 Facebook’s data warehousing grows by more than half a petabyte every 24
hours.
 Facebook have developed its data warehousing technologies to be able to
store more than 15 PB of data every day, Can you imagine!
Recommendations
 Analyze your needs and requirements.
 Identify your capabilities well in order to translate them into virtual
software.
 Research for the best data services provider which will meet your
requirements.
 Remember that big names are not always the best for you.
Data warehouses will increase
your organization’s value, your
organization’s current business
status and situation and as well
as to your operational
processes.
http://www.youtube.com/watch?v
=N4ikyDg681Q
Thank you
Any Questions ?!

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Data warehousing MIS presentation

  • 1. By: LujainAlobaid, AseelDaylami and Heba Abed. Data Warehouses
  • 2. Data warehousing in our 21st century  Started in the early 1970s when data marts first appeared.  Then gradually in the 1980s, Bill Inmon the father of data warehousing came up with his improvements and creations.  Inmon came up with data warehousing because of the rapid evolution in the use of data,.
  • 3. Definitions 1. Subject–oriented means the capability of a data warehouse to analyze particular matter area. 2. Integrated parts are concerned with the inserted data that come from several different sources of data. 3. Time-variant process, it mainly keeps track of historical data in a data warehouse. 4. Non-volatile; which means that when data goes into the data warehouse it cannot be changed, so as for historical data. the most popular definition came from the data warehouse god father Inmone. “A data warehouse is a subject-oriented, integrated, time- variant and non-volatile collection of data in support of management's decision making process.”
  • 4. Benefits of data warehouses  Impacted businesses in general and the information systems industry in precise.  one of the key benefits of data warehousing is to enhance the business intelligent tools (BI) by storing data from a wide mix of sources.  It makes a business more capable of handling & processing its information.  Data warehouses saves its users time and effort. in our opinion we find the “historical intelligence” the most important benefit derived from data warehousing.
  • 5. The evolution of data warehouses in organizations through the years  When we go back to the history of databases, we realize that if it actually stayed in the level it started, many of today’s businesses won’t be in their current standing positions.  The world evolves simultaneously with its data and information.  Data is the core value of any organization.  Data warehouses showed us through the years: 1. how organizations and markets grow, 2. how performances get coordinated consistently, 3. how standards get improved. 4. increased the competition between businesses. Data warehouses enabled advantages that weren’t existed before such as scalability, facility, flexibility and efficiency
  • 6. The architecture of data warehouses Data warehouse architecture is the logic and physical base of an actual data warehouse. Just as its definition simply it’s an architectural base for building a data warehouse. Three types of architectures: Data warehouse architecture must be driven by the business requirements to conform to organizational technological demands so that it eventually nails its goals. Basic DWH Architerture DWH architerture with staging area and data marts DWH architerture with a staging area
  • 7. #Top_3 Data Warehouse Providers Teradata is a giant American corporation that provides data platforms, services and solutions for more than 2,45o companies from different industries worldwide. #1 the technology and consulting multinational American corporation. IBM provides superior big data services. With the wide range of varieties of data warehousing and analytics IBM surely ensures the right solution for its clients. #2 The German entity is one of the world’s largest in the software industry. SAP’s best-known software products are the enterprise resource planning application system and the enterprise data warehouse product. #3
  • 8. Illustration  Facebook took off in February 4, 2004.  Facebook was the first company to join the market with a share price of $38 apiece.  Earlier this year, 2014, Facebook’s statistics announced that there are more than 1.3 billion active users monthly on Facebook.  Users data is growing way faster than what we would imagine.  Facebook uses several open source technologies such as: Scribe, Hadoop, Hive, data mining and data warehousing.  Facebook’s data warehousing grows by more than half a petabyte every 24 hours.  Facebook have developed its data warehousing technologies to be able to store more than 15 PB of data every day, Can you imagine!
  • 9. Recommendations  Analyze your needs and requirements.  Identify your capabilities well in order to translate them into virtual software.  Research for the best data services provider which will meet your requirements.  Remember that big names are not always the best for you.
  • 10. Data warehouses will increase your organization’s value, your organization’s current business status and situation and as well as to your operational processes. http://www.youtube.com/watch?v =N4ikyDg681Q Thank you Any Questions ?!