- published: 17 Dec 2017
- views: 87285
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remove the playlistFact (data Warehouse)
- remove the playlistFact (data Warehouse)
Data warehouse
In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis. DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data and are used for creating analytical reports for knowledge workers throughout the enterprise. Examples of reports could range from annual and quarterly comparisons and trends to detailed daily sales analyses.
The data stored in the warehouse is uploaded from the operational systems (such as marketing, sales, etc., shown in the figure to the right). The data may pass through an operational data store for additional operations before it is used in the DW for reporting.
Types of systems
The difference between data warehouse and data mart
Types of data marts
Software tools
The typical extract-transform-load (ETL)-based data warehouse uses staging, data integration, and access layers to house its key functions. The staging layer or staging database stores raw data extracted from each of the disparate source data systems. The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store (ODS) database. The integrated data are then moved to yet another database, often called the data warehouse database, where the data is arranged into hierarchical groups often called dimensions and into facts and aggregate facts. The combination of facts and dimensions is sometimes called a star schema. The access layer helps users retrieve data.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Data_warehouse
Warehouse
A warehouse is a commercial building for storage of goods. Warehouses are used by manufacturers, importers, exporters, wholesalers, transport businesses, customs, etc. They are usually large plain buildings in industrial areas of cities, towns and villages.
They usually have loading docks to load and unload goods from trucks. Sometimes warehouses are designed for the loading and unloading of goods directly from railways, airports, or seaports. They often have cranes and forklifts for moving goods, which are usually placed on ISO standard pallets loaded into pallet racks. Stored goods can include any raw materials, packing materials, spare parts, components, or finished goods associated with agriculture, manufacturing and production. In Indian English a warehouse may be referred to as a godown.
History
Warehouses have been found at Ostia. They were an essential tool for trading nations. Medieval examples art part of Europes cultural heritage. During the industrial revolution their function evolved and became more specialised, and architecturally significant. Always a building of function, they have adapted to mechanisation and changes in the supply chain.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Warehouse
Hospital warehouse
A hospital warehouse is a department in a hospital where medical supplies are stored. Such supplies include intravenous (IV) solutions and tubings, first aid products (band aids, wound dressings, gauze, etc.), protective equipment (gloves, gowns, masks, etc.), personal care products/toiletries (wash basins, bedpans, diapers, shampoo, deodorant, toothpaste, toothbrushes, patient belonging bags, drinking cups, etc.), feeding tubes, foley catheters, respiratory supplies and orthopedic supplies (crutches, arm slings, splints, etc.). Items in the warehouse may be distributed to various departments within the hospital (such as the emergency room, operating room, intensive-care unit, etc.), through a centralized requisition system which determines what supplies are needed and the amount to each department.
Also known as "materials management" in some facilities, the warehouse staff use a dedicated inventory system which determines the amount of items that are distributed and where they are delivered to. This helps the buyers order more supplies when the stock is running low or completely out.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Hospital_warehouse
Warehouse (disambiguation)
A warehouse is a storage facility.
Warehouse can also refer to:
The Warehouse may refer to:
See also
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Warehouse_(disambiguation)
DATA (band)
DATA were an electronic music band created in the late 1970s by Georg Kajanus, creator of such bands as Eclection, Sailor and Noir (with Tim Dry of the robotic/music duo Tik and Tok). After the break-up of Sailor in the late 1970s, Kajanus decided to experiment with electronic music and formed DATA, together with vocalists Francesca ("Frankie") and Phillipa ("Phil") Boulter, daughters of British singer John Boulter.
The classically orientated title track of DATA’s first album, Opera Electronica, was used as the theme music to the short film, Towers of Babel (1981), which was directed by Jonathan Lewis and starred Anna Quayle and Ken Campbell. Towers of Babel was nominated for a BAFTA award in 1982 and won the Silver Hugo Award for Best Short Film at the Chicago International Film Festival of the same year.
DATA released two more albums, the experimental 2-Time (1983) and the Country & Western-inspired electronica album Elegant Machinery (1985). The title of the last album was the inspiration for the name of Swedish pop synth group, elegant MACHINERY, formerly known as Pole Position.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/DATA_(band)
Data (word)
The word data has generated considerable controversy on if it is a singular, uncountable noun, or should be treated as the plural of the now-rarely-used datum.
Usage in English
In one sense, data is the plural form of datum. Datum actually can also be a count noun with the plural datums (see usage in datum article) that can be used with cardinal numbers (e.g. "80 datums"); data (originally a Latin plural) is not used like a normal count noun with cardinal numbers and can be plural with such plural determiners as these and many or as a singular abstract mass noun with a verb in the singular form. Even when a very small quantity of data is referenced (one number, for example) the phrase piece of data is often used, as opposed to datum. The debate over appropriate usage continues, but "data" as a singular form is far more common.
In English, the word datum is still used in the general sense of "an item given". In cartography, geography, nuclear magnetic resonance and technical drawing it is often used to refer to a single specific reference datum from which distances to all other data are measured. Any measurement or result is a datum, though data point is now far more common.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Data_(word)
Data URI scheme
The data URI scheme is a uniform resource identifier (URI) scheme that provides a way to include data in-line in web pages as if they were external resources. It is a form of file literal or here document. This technique allows normally separate elements such as images and style sheets to be fetched in a single Hypertext Transfer Protocol (HTTP) request, which may be more efficient than multiple HTTP requests. Data URIs are sometimes referred to incorrectly as "data URLs". As of 2015, data URIs are fully supported by most major browsers, and partially supported in Internet Explorer and Microsoft Edge.
Syntax
The syntax of data URIs was defined in Request for Comments (RFC) 2397, published in August 1998, and follows the URI scheme syntax. A data URI consists of:
data. It is followed by a colon (:).text/plain.;) . A character set parameter comprises the label charset, an equals sign (=), and a value from the IANA list of official character set names. If this parameter is not present, the character set of the content is assumed to be US-ASCII (ASCII).
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Data_URI_scheme
Podcasts:
-
Types of Fact Tables in Data Warehouse | Transaction, Periodic and Accumulating
Welcome to aroundbi. In this tutorial, We will understand different types of fact tables – transaction fact, Periodic snapshot fact and Accumulating snapshot fact table – based on individual requirements, we create and use these different fact tables in warehouse schema. We will go through a comparative study to evaluate which fact table type is better in what scenario.
published: 17 Dec 2017 -
What is STAR schema | Star vs Snowflake Schema | Fact vs Dimension Table
In data modeling, star and snowflake are two popular ways of modeling your data. In this video, I will explain you following concepts in a very simple manner, What is star schema? What is snowflake schema? Difference between star and snowflake schema What is fact table? What is dimension table? Fact vs Dimension table Power BI course that covers all above concepts in depth: https://codebasics.io/courses/power-bi-data-analysis-with-end-to-end-project Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. 🎥 Codeba...
published: 16 Feb 2023 -
What is Dimension and Fact in Data Warehouse
Dimension and fact are basic building blocks in Data Warehouse. In this tutorial, we will understand what is dimension and fact and what differentiates any data into these two categories.
published: 02 Jul 2017 -
Fact table and Dimension table | Data Warehousing
In this video, we will try to understand what is a fact table and dimension table. Measurements, facts, and dimensions are basic building blocks of data warehousing and in this video, we will understand how to categorize data into a fact table and into a dimension table, and we will also look at the difference between a fact table and a dimension table. Facts are measurements, numeric and quantifiable values, Dimensions on the other hand give context to these values. Content and video created by - Kishan Mashru
published: 01 Jan 2022 -
Types of Facts in Data Warehousing | Edureka
***** Data Warehouse & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** There are different types of facts in Data Warehousing. A fact table comprises measurements, metrics and/or facts related to business process. These facts are used to determine the value of a business and forecast its future. The video shows different types of facts, such as: 1. Addictive Fact 2. Semi-Addictive Fact 3. Non-Addictive Fact Related Blogs: http://www.edureka.co/blog/a-brief-on-etl/?utm_source=youtube&utm_medium=referral&utm_campaign=types-of-facts http://www.edureka.co/blog/architecture-of-a-data-warehouse/?utm_source=youtube&utm_medium=referral&utm_campaign=types-of-facts Watch Sample Class Recording: http://www.edureka.co/datawarehousing?utm_source=youtube&utm_medium=referral&utm_...
published: 30 Sep 2014 -
Fact Table Structure in Data Warehouse
Fact Table Structure,
published: 28 Oct 2017 -
Difference Between Fact Table and Dimension Table - Interview questions
A reality or fact table’s record could be a combination of attributes from totally different dimension tables. The Fact Table or Reality Table helps the user to investigate the business dimensions that helps him in call taking to enhance his business. On the opposite hand, Dimension Tables facilitate the reality table or fact table to gather dimensions on that the measures needs to be taken. The main difference between fact table or reality table and the Dimension table is that dimension table contains attributes on that measures are taken actually table.
published: 13 Sep 2020 -
Datawarehousing Concepts Basics (Fact and Dimension Table)
Fact, Dimension, Star Schema may sound little tricky specially to people who have never worked on a Datawarehouse, This video explains them in a simple manner with a real world example #DAtawarehouse #datawarehousingconcepts #Techcoach
published: 02 Jan 2015 -
What is OLTP | Data Warehouse fundamentals| Data warehouse and data mining | lec 1.9
"In this video, we explore OLTP (Online Transaction Processing), a crucial system for managing and processing everyday business transactions. Learn how OLTP works, its key features, and why it's essential for handling real-time data in industries like banking, retail, and more. Stay tuned to understand how OLTP ensures quick, accurate, and reliable transaction management across various applications." Module 1. Data warehouse fundamentals playlist : https://youtube.com/playlist?list=PLuQMSVZ7JdX4-40yjuFIdRvA1oWXTlG-2&si=0_IIo9oxUSMoj0bh #education #engineering #programming Below is an overview of what you can expect in this series: Module 1: Data Warehousing Fundamentals Data Warehouse Architecture Data Warehouse vs. Data Marts E-R Modeling vs. Dimensional Modeling Information Packag...
published: 22 Oct 2024 -
Datawarehouse - FactlessFact
This video tutorial explains the concept of a Factless Fact in a Datawarehouse. Please do not forget to like, subscribe and share. For enrolling and enquiries, please contact us at Website - knowstar.org Facebook - https://www.facebook.com/knowstartrainings/ Linkedin - https://www.linkedin.com/company/knowstar-e-learning-solutions/?viewAsMember=true Email - [email protected]
published: 24 Jul 2019
developed with YouTube
9:44
Types of Fact Tables in Data Warehouse | Transaction, Periodic and Accumulating
- Order: Reorder
- Duration: 9:44
- Uploaded Date: 17 Dec 2017
- views: 87285
Welcome to aroundbi.
In this tutorial, We will understand different types of fact tables – transaction fact, Periodic snapshot fact and Accumulating snapshot f...
Welcome to aroundbi.
In this tutorial, We will understand different types of fact tables – transaction fact, Periodic snapshot fact and Accumulating snapshot fact table – based on individual requirements, we create and use these different fact tables in warehouse schema. We will go through a comparative study to evaluate which fact table type is better in what scenario.
https://wn.com/Types_Of_Fact_Tables_In_Data_Warehouse_|_Transaction,_Periodic_And_Accumulating
Welcome to aroundbi.
In this tutorial, We will understand different types of fact tables – transaction fact, Periodic snapshot fact and Accumulating snapshot fact table – based on individual requirements, we create and use these different fact tables in warehouse schema. We will go through a comparative study to evaluate which fact table type is better in what scenario.
6:59
What is STAR schema | Star vs Snowflake Schema | Fact vs Dimension Table
- Order: Reorder
- Duration: 6:59
- Uploaded Date: 16 Feb 2023
- views: 162837
In data modeling, star and snowflake are two popular ways of modeling your data. In this video, I will explain you following concepts in a very simple manner,
...
In data modeling, star and snowflake are two popular ways of modeling your data. In this video, I will explain you following concepts in a very simple manner,
What is star schema?
What is snowflake schema?
Difference between star and snowflake schema
What is fact table?
What is dimension table?
Fact vs Dimension table
Power BI course that covers all above concepts in depth: https://codebasics.io/courses/power-bi-data-analysis-with-end-to-end-project
Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.
Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.
🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg
#️⃣ Social Media #️⃣
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🔗 Patreon: https://www.patreon.com/codebasics?fan_landing=true
https://wn.com/What_Is_Star_Schema_|_Star_Vs_Snowflake_Schema_|_Fact_Vs_Dimension_Table
In data modeling, star and snowflake are two popular ways of modeling your data. In this video, I will explain you following concepts in a very simple manner,
What is star schema?
What is snowflake schema?
Difference between star and snowflake schema
What is fact table?
What is dimension table?
Fact vs Dimension table
Power BI course that covers all above concepts in depth: https://codebasics.io/courses/power-bi-data-analysis-with-end-to-end-project
Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.
Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.
🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg
#️⃣ Social Media #️⃣
🔗 Discord: https://discord.gg/r42Kbuk
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/
📸 Codebasics Instagram: https://www.instagram.com/codebasicshub/
🔊 Facebook: https://www.facebook.com/codebasicshub
📱 Twitter: https://twitter.com/codebasicshub
📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/
📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/
🔗 Patreon: https://www.patreon.com/codebasics?fan_landing=true
- published: 16 Feb 2023
- views: 162837
5:16
What is Dimension and Fact in Data Warehouse
- Order: Reorder
- Duration: 5:16
- Uploaded Date: 02 Jul 2017
- views: 262788
Dimension and fact are basic building blocks in Data Warehouse. In this tutorial, we will understand what is dimension and fact and what differentiates any data...
Dimension and fact are basic building blocks in Data Warehouse. In this tutorial, we will understand what is dimension and fact and what differentiates any data into these two categories.
https://wn.com/What_Is_Dimension_And_Fact_In_Data_Warehouse
Dimension and fact are basic building blocks in Data Warehouse. In this tutorial, we will understand what is dimension and fact and what differentiates any data into these two categories.
- published: 02 Jul 2017
- views: 262788
7:56
Fact table and Dimension table | Data Warehousing
- Order: Reorder
- Duration: 7:56
- Uploaded Date: 01 Jan 2022
- views: 76509
In this video, we will try to understand what is a fact table and dimension table. Measurements, facts, and dimensions are basic building blocks of data warehou...
In this video, we will try to understand what is a fact table and dimension table. Measurements, facts, and dimensions are basic building blocks of data warehousing and in this video, we will understand how to categorize data into a fact table and into a dimension table, and we will also look at the difference between a fact table and a dimension table.
Facts are measurements, numeric and quantifiable values, Dimensions on the other hand give context to these values.
Content and video created by - Kishan Mashru
https://wn.com/Fact_Table_And_Dimension_Table_|_Data_Warehousing
In this video, we will try to understand what is a fact table and dimension table. Measurements, facts, and dimensions are basic building blocks of data warehousing and in this video, we will understand how to categorize data into a fact table and into a dimension table, and we will also look at the difference between a fact table and a dimension table.
Facts are measurements, numeric and quantifiable values, Dimensions on the other hand give context to these values.
Content and video created by - Kishan Mashru
- published: 01 Jan 2022
- views: 76509
7:22
Types of Facts in Data Warehousing | Edureka
- Order: Reorder
- Duration: 7:22
- Uploaded Date: 30 Sep 2014
- views: 41671
***** Data Warehouse & BI Training: https://www.edureka.co/data-warehousing-and-bi *****
There are different types of facts in Data Warehousing. A fact table c...
***** Data Warehouse & BI Training: https://www.edureka.co/data-warehousing-and-bi *****
There are different types of facts in Data Warehousing. A fact table comprises measurements, metrics and/or facts related to business process. These facts are used to determine the value of a business and forecast its future.
The video shows different types of facts, such as:
1. Addictive Fact
2. Semi-Addictive Fact
3. Non-Addictive Fact
Related Blogs:
http://www.edureka.co/blog/a-brief-on-etl/?utm_source=youtube&utm_medium=referral&utm_campaign=types-of-facts
http://www.edureka.co/blog/architecture-of-a-data-warehouse/?utm_source=youtube&utm_medium=referral&utm_campaign=types-of-facts
Watch Sample Class Recording:
http://www.edureka.co/datawarehousing?utm_source=youtube&utm_medium=referral&utm_campaign=types-of-facts
Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world.
All topics related to ‘Types of Facts’ have extensively been covered in our course ‘Data Warehousing’.
For more information, please write back to us at [email protected]
Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
https://wn.com/Types_Of_Facts_In_Data_Warehousing_|_Edureka
***** Data Warehouse & BI Training: https://www.edureka.co/data-warehousing-and-bi *****
There are different types of facts in Data Warehousing. A fact table comprises measurements, metrics and/or facts related to business process. These facts are used to determine the value of a business and forecast its future.
The video shows different types of facts, such as:
1. Addictive Fact
2. Semi-Addictive Fact
3. Non-Addictive Fact
Related Blogs:
http://www.edureka.co/blog/a-brief-on-etl/?utm_source=youtube&utm_medium=referral&utm_campaign=types-of-facts
http://www.edureka.co/blog/architecture-of-a-data-warehouse/?utm_source=youtube&utm_medium=referral&utm_campaign=types-of-facts
Watch Sample Class Recording:
http://www.edureka.co/datawarehousing?utm_source=youtube&utm_medium=referral&utm_campaign=types-of-facts
Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world.
All topics related to ‘Types of Facts’ have extensively been covered in our course ‘Data Warehousing’.
For more information, please write back to us at [email protected]
Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
- published: 30 Sep 2014
- views: 41671
4:00
Fact Table Structure in Data Warehouse
- Order: Reorder
- Duration: 4:00
- Uploaded Date: 28 Oct 2017
- views: 34809
Fact Table Structure,
Fact Table Structure,
https://wn.com/Fact_Table_Structure_In_Data_Warehouse
Fact Table Structure,
- published: 28 Oct 2017
- views: 34809
7:25
Difference Between Fact Table and Dimension Table - Interview questions
- Order: Reorder
- Duration: 7:25
- Uploaded Date: 13 Sep 2020
- views: 126909
A reality or fact table’s record could be a combination of attributes from totally different dimension tables. The Fact Table or Reality Table helps the user to...
A reality or fact table’s record could be a combination of attributes from totally different dimension tables. The Fact Table or Reality Table helps the user to investigate the business dimensions that helps him in call taking to enhance his business.
On the opposite hand, Dimension Tables facilitate the reality table or fact table to gather dimensions on that the measures needs to be taken.
The main difference between fact table or reality table and the Dimension table is that dimension table contains attributes on that measures are taken actually table.
https://wn.com/Difference_Between_Fact_Table_And_Dimension_Table_Interview_Questions
A reality or fact table’s record could be a combination of attributes from totally different dimension tables. The Fact Table or Reality Table helps the user to investigate the business dimensions that helps him in call taking to enhance his business.
On the opposite hand, Dimension Tables facilitate the reality table or fact table to gather dimensions on that the measures needs to be taken.
The main difference between fact table or reality table and the Dimension table is that dimension table contains attributes on that measures are taken actually table.
- published: 13 Sep 2020
- views: 126909
6:13
Datawarehousing Concepts Basics (Fact and Dimension Table)
- Order: Reorder
- Duration: 6:13
- Uploaded Date: 02 Jan 2015
- views: 214232
Fact, Dimension, Star Schema may sound little tricky specially to people who have never worked on a Datawarehouse, This video explains them in a simple manner w...
Fact, Dimension, Star Schema may sound little tricky specially to people who have never worked on a Datawarehouse, This video explains them in a simple manner with a real world example
#DAtawarehouse #datawarehousingconcepts #Techcoach
https://wn.com/Datawarehousing_Concepts_Basics_(Fact_And_Dimension_Table)
Fact, Dimension, Star Schema may sound little tricky specially to people who have never worked on a Datawarehouse, This video explains them in a simple manner with a real world example
#DAtawarehouse #datawarehousingconcepts #Techcoach
- published: 02 Jan 2015
- views: 214232
2:18
What is OLTP | Data Warehouse fundamentals| Data warehouse and data mining | lec 1.9
- Order: Reorder
- Duration: 2:18
- Uploaded Date: 22 Oct 2024
- views: 72
"In this video, we explore OLTP (Online Transaction Processing), a crucial system for managing and processing everyday business transactions. Learn how OLTP wor...
"In this video, we explore OLTP (Online Transaction Processing), a crucial system for managing and processing everyday business transactions. Learn how OLTP works, its key features, and why it's essential for handling real-time data in industries like banking, retail, and more. Stay tuned to understand how OLTP ensures quick, accurate, and reliable transaction management across various applications."
Module 1. Data warehouse fundamentals playlist : https://youtube.com/playlist?list=PLuQMSVZ7JdX4-40yjuFIdRvA1oWXTlG-2&si=0_IIo9oxUSMoj0bh
#education #engineering #programming
Below is an overview of what you can expect in this series:
Module 1: Data Warehousing Fundamentals
Data Warehouse Architecture
Data Warehouse vs. Data Marts
E-R Modeling vs. Dimensional Modeling
Information Package Diagram
Data Warehouse Schemas: Star Schema, Snowflake Schema, Factless Fact Table, Fact Constellation Schema
Updates to Dimension Tables
Major Steps in the ETL Process
OLTP vs. OLAP
OLAP Operations: Slice, Dice, Rollup, Drilldown, Pivot
#data #datascience #dataanalytics #datawarehouse #dataminingtutorial #mumbaiuniversity #engineering #cse #computerscience
Make sure to subscribe to Engineering.io to stay updated with new videos and tutorials. Whether you're an engineering student or a data enthusiast, this series will equip you with the knowledge and skills needed to master data warehousing and data mining concepts.
https://wn.com/What_Is_Oltp_|_Data_Warehouse_Fundamentals|_Data_Warehouse_And_Data_Mining_|_Lec_1.9
"In this video, we explore OLTP (Online Transaction Processing), a crucial system for managing and processing everyday business transactions. Learn how OLTP works, its key features, and why it's essential for handling real-time data in industries like banking, retail, and more. Stay tuned to understand how OLTP ensures quick, accurate, and reliable transaction management across various applications."
Module 1. Data warehouse fundamentals playlist : https://youtube.com/playlist?list=PLuQMSVZ7JdX4-40yjuFIdRvA1oWXTlG-2&si=0_IIo9oxUSMoj0bh
#education #engineering #programming
Below is an overview of what you can expect in this series:
Module 1: Data Warehousing Fundamentals
Data Warehouse Architecture
Data Warehouse vs. Data Marts
E-R Modeling vs. Dimensional Modeling
Information Package Diagram
Data Warehouse Schemas: Star Schema, Snowflake Schema, Factless Fact Table, Fact Constellation Schema
Updates to Dimension Tables
Major Steps in the ETL Process
OLTP vs. OLAP
OLAP Operations: Slice, Dice, Rollup, Drilldown, Pivot
#data #datascience #dataanalytics #datawarehouse #dataminingtutorial #mumbaiuniversity #engineering #cse #computerscience
Make sure to subscribe to Engineering.io to stay updated with new videos and tutorials. Whether you're an engineering student or a data enthusiast, this series will equip you with the knowledge and skills needed to master data warehousing and data mining concepts.
- published: 22 Oct 2024
- views: 72
3:32
Datawarehouse - FactlessFact
- Order: Reorder
- Duration: 3:32
- Uploaded Date: 24 Jul 2019
- views: 1358
This video tutorial explains the concept of a Factless Fact in a Datawarehouse.
Please do not forget to like, subscribe and share.
For enrolling and enquiries...
This video tutorial explains the concept of a Factless Fact in a Datawarehouse.
Please do not forget to like, subscribe and share.
For enrolling and enquiries, please contact us at
Website - knowstar.org
Facebook - https://www.facebook.com/knowstartrainings/
Linkedin - https://www.linkedin.com/company/knowstar-e-learning-solutions/?viewAsMember=true
Email - [email protected]
https://wn.com/Datawarehouse_Factlessfact
This video tutorial explains the concept of a Factless Fact in a Datawarehouse.
Please do not forget to like, subscribe and share.
For enrolling and enquiries, please contact us at
Website - knowstar.org
Facebook - https://www.facebook.com/knowstartrainings/
Linkedin - https://www.linkedin.com/company/knowstar-e-learning-solutions/?viewAsMember=true
Email - [email protected]
- published: 24 Jul 2019
- views: 1358
9:44
Types of Fact Tables in Data Warehouse | Transaction, Periodic and Accumulating
Welcome to aroundbi.
In this tutorial, We will understand different types of fact tables ...
published: 17 Dec 2017
Types of Fact Tables in Data Warehouse | Transaction, Periodic and Accumulating
Types of Fact Tables in Data Warehouse | Transaction, Periodic and Accumulating
- Report rights infringement
- published: 17 Dec 2017
- views: 87285
Welcome to aroundbi.
In this tutorial, We will understand different types of fact tables – transaction fact, Periodic snapshot fact and Accumulating snapshot fact table – based on individual requirements, we create and use these different fact tables in warehouse schema. We will go through a comparative study to evaluate which fact table type is better in what scenario.
6:59
What is STAR schema | Star vs Snowflake Schema | Fact vs Dimension Table
In data modeling, star and snowflake are two popular ways of modeling your data. In this v...
published: 16 Feb 2023
What is STAR schema | Star vs Snowflake Schema | Fact vs Dimension Table
What is STAR schema | Star vs Snowflake Schema | Fact vs Dimension Table
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- published: 16 Feb 2023
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In data modeling, star and snowflake are two popular ways of modeling your data. In this video, I will explain you following concepts in a very simple manner,
What is star schema?
What is snowflake schema?
Difference between star and snowflake schema
What is fact table?
What is dimension table?
Fact vs Dimension table
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5:16
What is Dimension and Fact in Data Warehouse
Dimension and fact are basic building blocks in Data Warehouse. In this tutorial, we will ...
published: 02 Jul 2017
What is Dimension and Fact in Data Warehouse
What is Dimension and Fact in Data Warehouse
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- published: 02 Jul 2017
- views: 262788
Dimension and fact are basic building blocks in Data Warehouse. In this tutorial, we will understand what is dimension and fact and what differentiates any data into these two categories.
7:56
Fact table and Dimension table | Data Warehousing
In this video, we will try to understand what is a fact table and dimension table. Measure...
published: 01 Jan 2022
Fact table and Dimension table | Data Warehousing
Fact table and Dimension table | Data Warehousing
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- published: 01 Jan 2022
- views: 76509
In this video, we will try to understand what is a fact table and dimension table. Measurements, facts, and dimensions are basic building blocks of data warehousing and in this video, we will understand how to categorize data into a fact table and into a dimension table, and we will also look at the difference between a fact table and a dimension table.
Facts are measurements, numeric and quantifiable values, Dimensions on the other hand give context to these values.
Content and video created by - Kishan Mashru
7:22
Types of Facts in Data Warehousing | Edureka
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published: 30 Sep 2014
Types of Facts in Data Warehousing | Edureka
Types of Facts in Data Warehousing | Edureka
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- published: 30 Sep 2014
- views: 41671
***** Data Warehouse & BI Training: https://www.edureka.co/data-warehousing-and-bi *****
There are different types of facts in Data Warehousing. A fact table comprises measurements, metrics and/or facts related to business process. These facts are used to determine the value of a business and forecast its future.
The video shows different types of facts, such as:
1. Addictive Fact
2. Semi-Addictive Fact
3. Non-Addictive Fact
Related Blogs:
http://www.edureka.co/blog/a-brief-on-etl/?utm_source=youtube&utm_medium=referral&utm_campaign=types-of-facts
http://www.edureka.co/blog/architecture-of-a-data-warehouse/?utm_source=youtube&utm_medium=referral&utm_campaign=types-of-facts
Watch Sample Class Recording:
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All topics related to ‘Types of Facts’ have extensively been covered in our course ‘Data Warehousing’.
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4:00
Fact Table Structure in Data Warehouse
Fact Table Structure,
published: 28 Oct 2017
Fact Table Structure in Data Warehouse
Fact Table Structure in Data Warehouse
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- published: 28 Oct 2017
- views: 34809
Fact Table Structure,
7:25
Difference Between Fact Table and Dimension Table - Interview questions
A reality or fact table’s record could be a combination of attributes from totally differe...
published: 13 Sep 2020
Difference Between Fact Table and Dimension Table - Interview questions
Difference Between Fact Table and Dimension Table - Interview questions
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- published: 13 Sep 2020
- views: 126909
A reality or fact table’s record could be a combination of attributes from totally different dimension tables. The Fact Table or Reality Table helps the user to investigate the business dimensions that helps him in call taking to enhance his business.
On the opposite hand, Dimension Tables facilitate the reality table or fact table to gather dimensions on that the measures needs to be taken.
The main difference between fact table or reality table and the Dimension table is that dimension table contains attributes on that measures are taken actually table.
6:13
Datawarehousing Concepts Basics (Fact and Dimension Table)
Fact, Dimension, Star Schema may sound little tricky specially to people who have never wo...
published: 02 Jan 2015
Datawarehousing Concepts Basics (Fact and Dimension Table)
Datawarehousing Concepts Basics (Fact and Dimension Table)
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- published: 02 Jan 2015
- views: 214232
Fact, Dimension, Star Schema may sound little tricky specially to people who have never worked on a Datawarehouse, This video explains them in a simple manner with a real world example
#DAtawarehouse #datawarehousingconcepts #Techcoach
2:18
What is OLTP | Data Warehouse fundamentals| Data warehouse and data mining | lec 1.9
"In this video, we explore OLTP (Online Transaction Processing), a crucial system for mana...
published: 22 Oct 2024
What is OLTP | Data Warehouse fundamentals| Data warehouse and data mining | lec 1.9
What is OLTP | Data Warehouse fundamentals| Data warehouse and data mining | lec 1.9
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- published: 22 Oct 2024
- views: 72
"In this video, we explore OLTP (Online Transaction Processing), a crucial system for managing and processing everyday business transactions. Learn how OLTP works, its key features, and why it's essential for handling real-time data in industries like banking, retail, and more. Stay tuned to understand how OLTP ensures quick, accurate, and reliable transaction management across various applications."
Module 1. Data warehouse fundamentals playlist : https://youtube.com/playlist?list=PLuQMSVZ7JdX4-40yjuFIdRvA1oWXTlG-2&si=0_IIo9oxUSMoj0bh
#education #engineering #programming
Below is an overview of what you can expect in this series:
Module 1: Data Warehousing Fundamentals
Data Warehouse Architecture
Data Warehouse vs. Data Marts
E-R Modeling vs. Dimensional Modeling
Information Package Diagram
Data Warehouse Schemas: Star Schema, Snowflake Schema, Factless Fact Table, Fact Constellation Schema
Updates to Dimension Tables
Major Steps in the ETL Process
OLTP vs. OLAP
OLAP Operations: Slice, Dice, Rollup, Drilldown, Pivot
#data #datascience #dataanalytics #datawarehouse #dataminingtutorial #mumbaiuniversity #engineering #cse #computerscience
Make sure to subscribe to Engineering.io to stay updated with new videos and tutorials. Whether you're an engineering student or a data enthusiast, this series will equip you with the knowledge and skills needed to master data warehousing and data mining concepts.
3:32
Datawarehouse - FactlessFact
This video tutorial explains the concept of a Factless Fact in a Datawarehouse.
Please do...
published: 24 Jul 2019
Datawarehouse - FactlessFact
Datawarehouse - FactlessFact
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- published: 24 Jul 2019
- views: 1358
This video tutorial explains the concept of a Factless Fact in a Datawarehouse.
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Data warehouse
In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis. DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data and are used for creating analytical reports for knowledge workers throughout the enterprise. Examples of reports could range from annual and quarterly comparisons and trends to detailed daily sales analyses.
The data stored in the warehouse is uploaded from the operational systems (such as marketing, sales, etc., shown in the figure to the right). The data may pass through an operational data store for additional operations before it is used in the DW for reporting.
Types of systems
The difference between data warehouse and data mart
Types of data marts
Software tools
The typical extract-transform-load (ETL)-based data warehouse uses staging, data integration, and access layers to house its key functions. The staging layer or staging database stores raw data extracted from each of the disparate source data systems. The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store (ODS) database. The integrated data are then moved to yet another database, often called the data warehouse database, where the data is arranged into hierarchical groups often called dimensions and into facts and aggregate facts. The combination of facts and dimensions is sometimes called a star schema. The access layer helps users retrieve data.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Data_warehouse
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