Data Warehousing
Data Warehousing is the process of saving raw data in an informational manner.
It is highly useful for decision-makers as it helps in making vital decisions for the success of an enterprise.
It could also be considered as an enterprise-wide repository or a place for archiving unprocessed information.
Benefits of having a data warehouse:
It is a special-purpose programming language designed for managing data in relational database management systems (RDBMS).
It was designed for the purpose of 'querying' data stored in a relational database.
SQL was initially developed at IBM, but these days; it is being used by various other IT Companies like Oracle, Microsoft, etc.
for developing their own Data Warehousing Solutions.
This application helps in interpreting, analyzing, integration and reporting of raw data as processed information.
Tools for data warehousing Analysis Services (SQL Server Analysis Services - SSAS) Under this service category, the solution provides the functionality of online analytical processing (OLAP) and data mining.
Analysis Services supports OLAP by letting you design, create, and manage multidimensional structures that contain data aggregated from other data sources, such as relational databases.
For data mining applications, Analysis Services lets you design, create, and visualize data mining models that are constructed from other data sources by using a wide variety of industry-standard data mining algorithms.
Integration Services (SQL Server Integration Services - SSIS) This category has the ability to deliver enterprise-level data integration and data transformation service.
This helps the business owners in solving complex business problems by copying or downloading files, sending e-mail messages in response to events, updating data warehouses, cleaning and mining data, and managing SQL Server objects and data.
Reporting Services (SQL Server Reporting Services - SSRS) Reporting is a pre-requisite for inclusive growth of an enterprise.
The application that offers this service, together with Data Warehouse, is considered as a complete package.
Reporting service should be such that it enables the user in creating, deploying, and managing reports for their organization, as well as programming features that enable them to extend and customize their reporting functionality.
As we all know, that the future of global competition will be data-driven, accurate and futuristic decision-making.
Therefore, every business owner should focus on setting-up best-in-class data warehousing application.
This will help in mobilizing all the business intelligence, to improve decision-making at every level by pushing detailed & historical data and advanced analytics to front-line decision makers.
It is highly useful for decision-makers as it helps in making vital decisions for the success of an enterprise.
It could also be considered as an enterprise-wide repository or a place for archiving unprocessed information.
Benefits of having a data warehouse:
- A Data Warehouse is fast to query
- The cost incurred on installing warehouse software is not expense but investment as it allows end-user to make more efficient use of data into the form of processed and stored information.
- Companies that have data entry applications, which are great for these entry but lacks reporting and analysis capabilities, should opt for warehousing solution as well.
- It could be used to bring several applications and/or information sources together.
- Service industry especially benefits from information warehousing, as it helps them analyze the percentage of work completed and estimation could be made regarding future engagements.
It is a special-purpose programming language designed for managing data in relational database management systems (RDBMS).
It was designed for the purpose of 'querying' data stored in a relational database.
SQL was initially developed at IBM, but these days; it is being used by various other IT Companies like Oracle, Microsoft, etc.
for developing their own Data Warehousing Solutions.
This application helps in interpreting, analyzing, integration and reporting of raw data as processed information.
Tools for data warehousing Analysis Services (SQL Server Analysis Services - SSAS) Under this service category, the solution provides the functionality of online analytical processing (OLAP) and data mining.
Analysis Services supports OLAP by letting you design, create, and manage multidimensional structures that contain data aggregated from other data sources, such as relational databases.
For data mining applications, Analysis Services lets you design, create, and visualize data mining models that are constructed from other data sources by using a wide variety of industry-standard data mining algorithms.
Integration Services (SQL Server Integration Services - SSIS) This category has the ability to deliver enterprise-level data integration and data transformation service.
This helps the business owners in solving complex business problems by copying or downloading files, sending e-mail messages in response to events, updating data warehouses, cleaning and mining data, and managing SQL Server objects and data.
Reporting Services (SQL Server Reporting Services - SSRS) Reporting is a pre-requisite for inclusive growth of an enterprise.
The application that offers this service, together with Data Warehouse, is considered as a complete package.
Reporting service should be such that it enables the user in creating, deploying, and managing reports for their organization, as well as programming features that enable them to extend and customize their reporting functionality.
As we all know, that the future of global competition will be data-driven, accurate and futuristic decision-making.
Therefore, every business owner should focus on setting-up best-in-class data warehousing application.
This will help in mobilizing all the business intelligence, to improve decision-making at every level by pushing detailed & historical data and advanced analytics to front-line decision makers.
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