Data Warehouse - Revision history

User at 23:06, 22 March 2024

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User at 13:28, 10 March 2024

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User at 00:00, 17 August 2023

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User: The LinkTitles extension automatically added links to existing pages (https://github.com/bovender/LinkTitles).

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User: A data warehouse is a central repository of information that can be analyzed to make better informed decisions. Data flows into a data warehouse from transactional systems, relational databases and other sources, typically on a regular cadence..

2018-12-20T01:48:57Z

A data warehouse is a central repository of information that can be analyzed to make better informed decisions. Data flows into a data warehouse from transactional systems, relational databases and other sources, typically on a regular cadence..

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User: Created page with "'''Content Coming Soon'''"

2018-12-18T19:34:20Z

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'''Content Coming Soon'''

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 *[[Extract, Transform, Load (ETL)|ETL (Extract, Transform, Load)]]: Discussing the process used to gather data from multiple sources, transform it into a format suitable for analysis, and load it into the data warehouse.
-*[[Business Intelligence|Business Intelligence (BI)]]: Covering the strategies and technologies used by enterprises for data analysis of business information, where data warehouses serve as the foundational infrastructure.
+*Business Intelligence (BI): Covering the strategies and technologies used by enterprises for data analysis of business information, where data warehouses serve as the foundational infrastructure.
 *[[Data Lake]]: Exploring another data storage strategy, focusing on storing raw data in its native format. Comparison with data warehouses can highlight differences in data structure, processing, and analysis.
 *[[Data Modeling]]: Discussing the process of creating a data model for the data to be stored in a data warehouse, including dimensional modeling, which is commonly used in data warehouse design.
@@ Line 116: / Line 116: @@
 *[[Data Security]]: Highlighting the importance of securing data within a data warehouse, including access controls, encryption, and compliance with data protection regulations.
 *Data Warehouse Automation: Exploring tools and practices that reduce the time and effort required to maintain and update data warehouse systems, enabling faster delivery of data insights.
 *[[Data_Cleansing|Data Cleansing]]
 *[[Data_Management|Data Management]]
 *[[Predictive_Analytics|Predictive Analytics]]
 *[[Customer_Data_Management_(CDM)|Customer Data Management (CDM)]]
 *[[Data_Analysis|Data Analysis]]
 *[[Data_Analytics|Data Analytics]]

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 ===See Also===
 *[[Enterprise_Data_Warehouse_(EDW)|Enterprise Data Warehouse (EDW)]]
 *[[Data_Cleansing|Data Cleansing]]

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 ===See Also===
-[[Enterprise_Data_Warehouse_(EDW)|Enterprise Data Warehouse (EDW)]]<br />
+*[[Enterprise_Data_Warehouse_(EDW)|Enterprise Data Warehouse (EDW)]]
-[[Data_Cleansing|Data Cleansing]]<br />
+*[[Data_Cleansing|Data Cleansing]]
-[[Data_Management|Data Management]]<br />
+*[[Data_Management|Data Management]]
-[[Predictive_Analytics|Predictive Analytics]]<br />
+*[[Predictive_Analytics|Predictive Analytics]]
-[[Customer_Data_Management_(CDM)|Customer Data Management (CDM)]]<br />
+*[[Customer_Data_Management_(CDM)|Customer Data Management (CDM)]]
-[[Big_Data|Big Data]]<br />
+*[[Big_Data|Big Data]]
-[[Business_Intelligence|Business Intelligence]]<br />
+*[[Business_Intelligence|Business Intelligence]]
-[[Data_Analysis|Data Analysis]]<br />
+*[[Data_Analysis|Data Analysis]]
-[[Data_Analytics|Data Analytics]]
+*[[Data_Analytics|Data Analytics]]

← Older revision		Revision as of 00:00, 17 August 2023
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	*Make Better Business Decisions: Successful business leaders develop data-driven strategies and rarely make decisions without consulting the facts. Data warehousing improves the speed and efficiency of accessing different data sets and makes it easier for corporate decision-makers to derive insights that will guide the business and marketing strategies that set them apart from their competitors.		*Make Better Business Decisions: Successful business leaders develop data-driven strategies and rarely make decisions without consulting the facts. Data warehousing improves the speed and efficiency of accessing different data sets and makes it easier for corporate decision-makers to derive insights that will guide the business and marketing strategies that set them apart from their competitors.
	*Improve Bottom Line: Data warehouse platforms allow business leaders to quickly access their organization's historical activities and evaluate initiatives that have been successful — or unsuccessful — in the past. This allows executives to see where they can adjust their strategy to decrease costs, maximize efficiency and increase sales to improve their bottom line.		*Improve Bottom Line: Data warehouse platforms allow business leaders to quickly access their organization's historical activities and evaluate initiatives that have been successful — or unsuccessful — in the past. This allows executives to see where they can adjust their strategy to decrease costs, maximize efficiency and increase sales to improve their bottom line.
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−	~~'''How Datawarehouse Works'''<ref>How Datawarehouse works? [https://www.guru99.com/data-warehousing.html Guru99]</ref><br />~~
−	A Data Warehouse works as a central repository where information arrives from one or more data sources. Data flows into a data warehouse from the transactional system and other relational databases. The data is processed, transformed, and ingested so that users can access the processed data in the Data Warehouse through Business Intelligence tools, SQL clients, and spreadsheets. A data warehouse merges information coming from different sources into one comprehensive database. By merging all of this information in one place, an organization can analyze its customers more holistically. This helps to ensure that it has considered all the information available. Data warehousing makes data mining possible. Data mining is looking for patterns in the data that may lead to higher sales and profits. Data may be:
−	*Structured
−	*Semi-structured
−	*Unstructured data