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1. Data Marts design(Modelling) -- contains dimension and fact tables
2. ETL (extract transform load) -- how to load data from multiple db to datamart with transformation logic. e.g. using Informatica, Microsoft SSIS, Data Stage
3. Business Intelligence - Reporting e.g. BO,Cognos etc
Wiki User
∙ 15y ago
Common modules in data warehousing include data extraction, transformation, loading (ETL), data modeling, data storage, and data querying. These modules work together to gather data from various sources, transform it into a consistent format, load it into the data warehouse, organize it for analytical purposes, and enable users to query and analyze the data effectively.
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Where is it possible to learn about data warehousing concepts?
You can learn about data warehousing concepts through online courses on platforms like Coursera, Udemy, and LinkedIn Learning. Additionally, you can read books on data warehousing by authors such as Ralph Kimball and Inmon. Industry conferences and workshops may also provide insights into the latest trends and practices in data warehousing.
What are the Data staging steps in data warehousing?
Data staging in data warehousing involves steps like data extraction from source systems, data transformation to prepare it for analysis, and data loading into the data warehouse. This process ensures that data is cleansed, standardized, and organized before being stored in the data warehouse for reporting and analytics purposes.
What approach data warehousing is adopting?
Data warehousing is adopting modern approaches such as cloud-based solutions, big data technologies, and machine learning for advanced analytics. Organizations are also shifting towards a more agile and scalable data architecture to handle the growing volumes of data. Moreover, there is an increasing focus on real-time data processing and integration to support faster decision-making.
How Data warehousing and Data Mining is useful in terms of MIS?
Data warehousing and data mining contribute to Management Information Systems (MIS) by providing a centralized location for storing and accessing data, enabling users to run complex queries and generate reports for strategic decision-making. Data mining techniques help uncover patterns and trends in the data, allowing organizations to gain valuable insights and make informed decisions based on the information retrieved from the data warehouse. Ultimately, these tools enhance the effectiveness of MIS by facilitating more efficient data analysis and interpretation.
What is an Idoc?
An IDoc (Intermediate Document) is a data format used by SAP systems to exchange information between different systems, such as SAP to non-SAP systems or between different SAP systems. It is structured and standardized, containing both the data and information about the data structure. IDocs are used for various purposes, including EDI (Electronic Data Interchange) with external partners or for integration between different SAP modules.
What is the best institute for data warehousing training in Bangalore?
Flint solutions is one of the major institutes in Bangalore to teach data warehousing. Big data also now competes with Data warehousing.
What is responceblity data warehousing proffeshionel?
what role should HIM professionals play in data warehousing development
What is the history of business intelligence and data warehousing?
Because businesses wanted to integrate their data, data warehousing was born. Dating back to the late 1980s, data warehousing is simply a single system that stores all of a company's data.
What is ATM data base system?
Data Warehousing
Virtual seminar on data warehousing by keysoft solutions?
Interested in learning about Data Warehousing? Attend a virtual seminar on Data Warehousing given by our AI bot, Tom. http://www.keysoft.co.in/virtualcourse.aspx (note: you will need audio output)
What is data warehousing software used for?
Data warehousing software is used to catalog and record data for analysis and reporting. You can learn more about data warehousing from the Wikipedia. Once on the page, type "Data warehouse" into the search field at the top of the page and press enter to bring up the information.
How Data warehousing and Data Mining is useful in terms of MIS?
Data warehousing and data mining contribute to Management Information Systems (MIS) by providing a centralized location for storing and accessing data, enabling users to run complex queries and generate reports for strategic decision-making. Data mining techniques help uncover patterns and trends in the data, allowing organizations to gain valuable insights and make informed decisions based on the information retrieved from the data warehouse. Ultimately, these tools enhance the effectiveness of MIS by facilitating more efficient data analysis and interpretation.
Show the various stages in data warehousing and business analytics and also explain it in brief?
show the various stages in data warehousing and business analytics
What are the names of some of the companies who offer Business Intelligence and Data Warehousing services?
There are many companies that offer Business Intelligence and Data Warehousing services. Some examples of companies who offer Business Intelligence and Data Warehousing services includes Plasma Comp and iDashboards.
How you get full information for Paper presentation in data mining and data warehousing?
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What is data warehousing?
Data Warehousing is the process of unifying data from multiple data sources under a single unified schema. A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process.
Is ERP an aggregating solution and Data Warehousing a disaggregating solution?
ERP (Enterprise Resource Planning) is an aggregating solution that integrates various business processes and functions into a unified system, allowing for efficient management and coordination of resources, data, and operations across an organization. On the other hand, Data Warehousing is not a disaggregating solution per se, but rather a technology that involves the collection, storage, and management of large volumes of data from various sources to support decision-making processes. While ERP focuses on integrating and streamlining business processes, Data Warehousing focuses on storing and organizing data for analysis and reporting purposes.
